Pump Valve Research Articles

A novel perspective of addressing the hydraulic dynamic imbalance in district heating network: The application of nonlinear programming

Hydraulic balance within the heating system's pipeline network is essential for efficient operation. Hydraulic imbalances can result in increased energy consumption and heat loss. Accordingly, a new dynamic hydraulic model has been developed, leveraging the topological structure of the network. This model incorporates the nonlinear constraints associated with flow coupling between electric valves and variable frequency pumps, with the objective of minimizing energy used in pump operation. It determines the optimal pump frequency and valve settings for operational adjustments. The model's predictive accuracy was validated using real operational data from a campus heating system. Additionally, it calculates the campus's ideal load and evaluates the potential for energy savings. Three adjustment strategies were established based on different temporal scales: hourly, day-and-night, and daily. Findings indicate that the optimized system offers substantial energy savings, particularly the hourly adjustment, which reduces pump energy consumption by 38.2 % and total system flow by 9.0 %. The day-and-night variable frequency was the next most effective, reducing pump energy consumption by 32.8 %, and total system flow by 7.6 %. The daily variable frequency strategy showed the least energy savings, with pump energy consumption by 25.0 %, and total system flow by 5.5 %. This dynamic hydraulic regulation optimization model serves as a valuable tool for developing intelligent heating systems.

Numerical analysis of fluid-thermal-structure coupling characteristics of CO2 booster pump valve

CO2 booster pump valves are key components in the CO2 oil drive industry, and their reliability is critical to the safe operation of pumping booster systems. Due to the special nature of CO2, heat transfer occurs during valve movement, which can cause damage to the valve body and poppet, and thus in-depth studies on CO2 properties are needed to better predict the locations where the valve is vulnerable to damage. However, relatively few studies have been conducted to analyze the fluid-thermal-solid coupling failure of CO2 booster pump valves. This paper establishes a multi-physics coupled thermodynamic model of CO2 booster pump valves, analyzes the transient simulation of valves at different valve openings, pressures and temperatures, and investigates the thermal properties of four different poppet materials. The results show that: with the increase of valve opening, the maximum deformation of the valve decreases sharply, and then tends to stabilize; in the process of pressure increasing from 4.77 MPa to 10.52 MPa, the turbulent kinetic energy inside the valve increases by about 78 %; it is also found that the thermal deformation of different poppet materials is directly proportional to the coefficients of thermal expansion of the materials, among which the deformation of aluminum alloy poppet is the largest. In addition, the results of thermal deformation and thermal stress distribution indicate that the failure region of the valve is usually concentrated in the poppet and its corresponding body wall. These results provide theoretical references for optimizing the structural design of CO2 booster pump valves and help reduce the risk of failure of CO2 booster pump valves.

Research on Control of Pump and Valve Testing Equipment

Abstract The complex flow state of the fluid makes it difficult for the pump valve to accurately control it. A study was conducted on the pressure flow control of a valve control device for gas-liquid two-phase flow, and experiments were conducted on the joint control of gas-liquid two-phase flow. The results showed that pressure has a significant impact on control, and it is necessary to ensure that pressure remains constant during the control process. The joint control of gas-liquid two-phase flow has consistency in changes, and precise control of gas-liquid two-phase flow can be achieved through studying consistency.

Hardness Reduction using Waste Plastic

This study focused on the utilisation of waste plastic as an ion exchanger to reduce water hardness. The three identical glass columns R1, R2, and R3 were used, each containing different types of waste plastic resin, such as styrofoam resin (SR), air bubble plastic resin (AR), or a mixture of both resins (MR), respectively. The plastics underwent a sulfonation process after crushing and sieving; their sulfonation was confirmed using FTIR analysis. For lab-scale experiments, each glass column was filled with sand, gravel, and coconut fiber as supporting media and equipped with a pump and flow-control valves. Groundwater collected from an urban area was passed through the columns at different flow rates and contact times. The process takes place by exchanging the Na+ ions of resins with polluting ions present in hard water. The treatment parameters involved are total hardness, calcium hardness, magnesium hardness, chloride, TDS, and pH. During the treatment process, pH was maintained between 7 and 8.5. All the parameters were tested twice, and the average of the observations was noted. The results showed that the maximum total hardness reduction achieved in reactors R1, R2, and R3 was 63%, 52%, and 58.6%, respectively, at a contact time of 24 h.

Study on the Transient Flow Characteristics of Multistage Centrifugal Pumps during the Startup Process before System Operation

Multistage pumps are essential in emergency water supply, irrigation, and other systems undergoing unavoidable hydraulic transitions like pump startup and valve operations. These transitions cause rapid changes in impeller speed, flow rate, and pressure, destabilizing the internal flow field and impacting system reliability. To study transient flow characteristics, a numerical analysis of a three-stage pump was conducted, focusing on vortex identification, entropy production, and time–frequency pressure pulsation. Using the SST turbulence model, the simulation analyzed different start times and flow rate variations. Findings revealed that shorter startup times intensified transient effects, with the head increasing rapidly initially and then stabilizing. Vortex structures showed periodic development and dissipation. Entropy production rose with impeller speed, peaking higher with shorter startups. Blade passing frequency dominated pressure pulsations, with increased low-frequency pulsations as speed rose. During valve opening, flow stabilization accelerated with increasing flow rates, reducing amplitude and eliminating low-frequency components. This research aids the reliable operation of high-pressure pumping systems in energy storage.

STUDY OF THE PERFORMANCE OF PLUNGER PUMP VALVES OPERATED IN AGGRESSIVE ENVIRONMENTS

Reciprocating plunger pumps are crucial for various industrial sectors, including chemical processing, well cementing, oil and gas production, and wastewater management. These pumps play a vital role in handling a range of fluids, making them indispensable for maintaining efficient and reliable operations in these demanding applications. These environments often involve handling aggressive fluids that can cause significant wear and corrosion to pump components, particularly the valves. Selection the right materials for valve manufacturing is essential to maintain the reliability, performance, and durability of plunger pumps operating in harsh environments. This ensures that the pumps can withstand extreme conditions while maintaining their efficiency over time. This research offers an in-depth review of the materials typically used for manufacturing plunger pump valves, with a focus on their performance in demanding environments. The research highlights the importance of material properties such as wear resistance, corrosion resistance, hardness, and mechanical strength. It evaluates various materials, including cast polyurethane, industrial ceramics such as silicon nitride and silicon carbide, and advanced coating techniques with nickel, chromium, and ceramic layers, to determine their effectiveness in harsh environments. Cast polyurethane is recognized as an optimal material due to its superior physical and mechanical properties, minimal shrinkage, and excellent chemical resistance. It excels in managing abrasive media and high-viscosity fluids, making it highly suitable for diverse industrial applications. Industrial ceramics, such as silicon nitride and silicon carbide, are distinguished by their ability to withstand high temperatures, resist corrosion, and offer low friction coefficients. Materials like silicon nitride and silicon carbide demonstrate exceptional performance in conditions where traditional metals and polymers fail. Moreover, applying advanced coatings, such as nickel-chromium-ceramic layers, to steel components significantly improves the durability and corrosion resistance of plunger rods and other critical parts. Keywords: plunger pump valves, aggressive environments, operational efficiency, material selection.

Internet of Things (IoT) and Arduino IDE as a Smart Water Quality Control for Monitoring in Catfish Ponds

This research aims to develop a monitoring and control system for catfish pond water quality based on the Internet of Things (IoT). This system uses an ESP32 microcontroller Arduino Integrated Development Environment (IDE) connected to a SEN0131 pH sensor, DS18B20 temperature sensor, and HC-SR04 ultrasonic sensor to monitor water quality parameters such as pH, temperature, and water level. Data obtained from these sensors is stored in a real-time database that can be accessed remotely via the Blynk application. This system is also equipped with a water pump and solenoid valve that automatically controls water filling and discharge based on detected water quality parameters. The test results show that the system has an average accuracy of 99.45% and high precision with an average relative standard deviation of 0.01% in detecting water quality parameters. System operation was carried out for 27 days. The system can run continuously or non-stop. data is input in real-time to blynk, so it can be monitored and controlled from anywhere.

Research of closed loop characteristics of single and double chamber structure for fuel metering mechanism

There are two forms of engine fuel metering devices which are single and double chamber structures using electro-hydraulic servo valves as electro-hydraulic conversion devices to realize accurate fuel flow measurements and constant pressure differential valve is used to maintain the constant pressure difference of the metering valve. The main purpose of this article is to analyze the time domain and frequency domain characteristics of constant pressure differential valve assembly and compare the closed-loop characteristics of two metering mechanisms. Firstly, the mathematical model of constant pressure differential valve assembly (including the fuel pump and constant pressure differential valve) is established and its time and frequency domain characteristics are analyzed. The conclusion that the constant pressure differential of the metering valve can meet the practical requirements is obtained. Secondly, the mathematical models of single and double-chamber fuel metering mechanisms are established considering the specific working conditions. Finally, the characteristics of two kinds of metering mechanisms are compared and analyzed under the same control method in the time and frequency domain. The extension overshoot with a maximum value of 3.564% of the single chamber control metering valve mechanism is smaller than that of the double chamber control metering valve mechanism with a maximum extension overshoot of 6.04%. The negative overshoot with a maximum value of 1.391% of the single chamber control metering valve mechanism is bigger than the double chamber control metering valve mechanism with a maximum negative overshoot value of 1.17%. In terms of steady-state error, the steady-state error of a single chamber control metering valve mechanism with a maximum value of 0.194 mm and minimum value of 1.25e-6 mm is smaller than that maximum value of 0.302 mm and minimum value of 1.95e-6 mm of double chamber control metering valve mechanism under the same controller parameters. The bandwidth of the extension motion of the single and double chamber control metering valve is greater than that of the retraction motion. Under the same proportional control parameter, the bandwidth of the double chamber control metering valve extension motion system is greater than that of the single chamber extension motion system.

High-pressure liquid refrigerant injection for reciprocating compressors

Isentropic (adiabatic) compression of superheated vapor in vapor compression refrigeration cycles usually results in some discharge superheat, i.e. the discharge temperature exceeding the condensing temperature. Large discharge superheat reduces both operating range and compression efficiency. Sub-isentropic compression with heat rejection to the heat sink is therefore superior to adiabatic compression, as it results in lower discharge superheat and improved efficiency. However, significant temperature reduction by heat transfer through the working chamber walls is difficult to facilitate in common refrigeration compressors, particularly reciprocating compressors. Refrigerant and oil injection is a well-established method for reducing temperatures and increasing efficiency in screw and scroll compressors, as well as multi-stage systems. In comparison, effective methods for temperature reduction in single-stage reciprocating compressors are fairly limited. Therefore, a concept for high-pressure liquid injection is proposed. By means of a pump and injection valve, high-pressure liquid refrigerant is injected into the working chamber and atomized. The compressed gas is cooled through the evaporation of the injected liquid. The injection valve allows for control over the injection timing and quantity, enabling adjustment of the temperature profile, which is a major distinction from existing refrigerant injection methods. The coupled compression-injection process is evaluated for various refrigerants using an energetic chamber model. The injection is found to be particularly suitable for refrigerants with a large evaporation heat and a shallow dew line slope. For the example of ammonia, a theoretical reduction in compression work of 8.9% at an evaporation temperature of −10 °C and a condensing temperature of 45 °C is found.

Energy Optimization in Water Distribution System and Pump Scheduling

Efficient management of water distribution systems are critical for providing consistent water supply while reducing energy usage and operational expenses. This research proposes a unique method for improving water distribution and pump scheduling. The suggested system leverages ultrasonic sensors to monitor water levels in storage tanks, then dynamically changes pump operation and valve settings depending on real-time demand and tank levels. A mobile application gives users remote access to system controls, allowing them to work from anywhere. By combining sensor data with intelligent algorithms, the system optimizes pump scheduling to fulfill water demand while conserving energy and lowering system losses. The creation and implementation of such a system have tremendous potential to improve the performance and sustainability of water distribution networks.

Between citizens and sit-inners: the 2017 Kamour sit-in and disidentification in Tunisia’s south

ABSTRACT This paper considers the 2017 Kamour sit-in as an example of lived citizenship. Composed of young men from the marginalized south of Tunisia, the Kamour sit-inners mobilized in pursuit of employment, regional development, transparency within the oil and gas sector and a life of dignity. To draw attention to their cause, the sit-inners disrupted the region’s hydrocarbon infrastructure through a series of roadblocks and sit-ins, culminating in turning off the pumping valve at the remote Kamour oil pumping facility. Throughout, the sit-inners framed their demands and actions in relation to Tunisian citizenship. The paper explores how a citizen subjectivity was constructed in conjuncture with the experience of living and protesting in Tunisia’s marginalized south. Drawing on Jacques Rancière’s notion of subjectivization, and the attendant concept of disidentification, I argue for the Kamour sit-in as a site where sit-inners creatively disordered the content and meaning of Tunisian citizenship, reimagining a citizen subjectivity grounded in the lived experience of Tunisia’s south.

Force Compensation Control for Electro-Hydraulic Servo System with Pump–Valve Compound Drive via QFT–DTOC

Each joint of a hydraulic-driven legged robot adopts a highly integrated hydraulic drive unit (HDU), which features a high power–weight ratio. However, most HDUs are throttling-valve-controlled cylinder systems, which exhibit high energy losses. By contrast, pump control systems offer a high efficiency. Nevertheless, their response ability is unsatisfactory. To fully utilize the advantages of pump and valve control systems, in this study, a new type of pump–valve compound drive system (PCDS) is designed, which can not only effectively reduce the energy loss, but can also ensure the response speed and response accuracy of the HDUs in robot joints to satisfy the performance requirements of robots. Herein, considering the force control requirements of energy conservation, high precision, and fast response of the robot joint HDU, a nonlinear mathematical model of the PCDS force control system is first introduced. In addition, pressure–flow nonlinearity, friction nonlinearity, load complexity and variability, and other factors affecting the system are considered, and a novel force control method based on quantitative feedback theory (QFT) and a disturbance torque observer (DTO) is designed, which is denoted as QFT–DTOC herein. This method improves the control accuracy and robustness of the force control system, reduces the effect of the disturbance torque on the control performance of the servo motor, and improves the overall force control performance of the system. Finally, experimental verification is performed using the PCDS performance test platform. The experimental results and quantitative data show that the QFT–DTOC proposed herein can significantly improve the force control performance of the PCDS. The relevant force control method can be used as a bottom-control method for the hydraulic servo system to provide a foundation for implementing the top-level trajectory planning of the robot.

Study on Friction and Wear Characteristics of Axial Piston Pump Valve Plate Pairs Modified with Different Surface Energies

To explore the friction and wear performance of the valve pair with different wetting combinations under various working conditions in hydraulic oil lubrication, a low surface energy modification method was adopted in this paper to improve the surface wettability of the upper sample composed of SAF2507 and the lower sample composed of CFRPEEK, and to prepare valve plate pairs with different wetting combinations. The MMU-5G friction and wear testing machine was used to investigate its friction and wear characteristics under hydraulic oil lubrication. The results show that the surface free energy of SAF2507 and CFRPEEK decreased significantly after the treatment with a low surface energy solution, and the surface free energy of the upper and lower samples decreased by 41.9% and 42.2%, respectively. The oil contact angle of samples remained lipophilic, but the oil contact angle increased significantly. Under the working condition of low speed (800 r/min), the surface wettability of the valve plate pair has a great influence on its friction and wear characteristics. When operating at high speed (1200 r/min), the surface wettability of the valve plate pair has little influence on its friction and wear characteristics.

Methodology for preliminary assessment of the design parameters of the suction and discharge valves of a piston hybrid energy machine of volumetric action with regenerative heat exchange

A method is developed for preliminary assessment of the ratio of the areas of the flow sections of the suction and discharge valves in a piston hybrid energy machine with regenerative heat exchange when operating in pump and compressor modes at a constant angular velocity of the crankshaft. It is shown that this ratio in pump mode should be 2 times greater than in compressor mode. The basic designs of self-acting valves in piston compressors and piston pumps are considered. Directions for improving the designs of suction and discharge valves of piston hybrid energy volumetric machines with regenerative heat exchange are proposed. Keywords:piston hybrid energy machine, regenerative heat exchange, piston compressor, piston pump, self-acting valves, rotation frequency, crankshaft, discharge pressure Scherba_V_E@list.ru

Development of an automated human scent olfactometer and its use to evaluate detection dog perception of human scent.

Working Dogs have shown an extraordinary ability to utilize olfaction for victim recovery efforts. Although instrumental analysis has chemically characterized odor volatiles from various human biospecimens, it remains unclear what perceptually constitutes human scent (HS) for dogs. This may be in part due to the lack of methodology and equipment to train and evaluate HS perception. The aims of this research were 1) to develop an automated human scent olfactometer (AHSO) to present HS to dogs in a controlled setting and 2) use the AHSO to evaluate dogs' response to different scented articles and individual components of HS. A human volunteer was placed in a clear acrylic chamber and using a vacuum pump and computer-controlled valves, the headspace of this chamber was carried to one of three ports in a different room. Dogs were trained to search all three ports of the olfactometer and alert to the one containing HS. In Experiment 1 and 2, the AHSO was validated by testing two dogs naïve to HS (Experiment 1) and five certified Search and Rescue (SAR) teams naïve to the apparatus (Experiment 2). All dogs showed sensitivity and specificity to HS > 95% in the apparatus. In Experiment 3, we used a spontaneous generalization paradigm to evaluate generalization from the HS chamber to different scented articles exposed to the same volunteer and to a breath sample. Dogs' response rate to the different scented articles was < 10% but exceeded 40% for the breath sample. In Experiment 4, we replicated this result by re-testing spontaneous generalization to breath and when the volunteer had breath exhausted/removed from the chamber. Dogs' response rate to breath alone was 88% and only 50% when breath was removed. Altogether, the data indicate that exhaled breath is an important and salient component of HS under these conditions.

Maximizing efficiency in solar ammonia–water absorption refrigeration cycles: Exergy analysis, concentration impact, and advanced optimization with GBRT machine learning and FHO optimizer

A detailed analysis of energy and exergy is conducted on a single-effect solar ammonia–water (NH3–H2O) absorption refrigeration cycle (ARC) using TRNSYS and EES software. Considering the physical and chemical exergies, the exergy destruction rate (ĖD) in each component of the system is calculated, highlighting its contribution to the overall ĖD. The study explores the effects of varying refrigerant mass flow rate (ṁᵣ) and ammonia concentration in strong and weak solutions (Xs and Xw) on key performance parameters, including coefficient of performance (COP), exergy efficiency (ĖD), and overall ĖD across a range of generator temperatures (Tg). In this study, a gradient boosting regression tree (GBRT) is employed as a supervised machine-learning technique for classification and regression problems, utilizing boosting to enhance conventional decision tree predictions. The Fire Hawk Optimizer (FHO) approach is also utilized to optimize performance parameters, maximizing COP and ηηEwhile minimizing Tg and ĖD. The GBRT models are developed using available experimental and simulation data, revealing relationships between variables (ṁᵣ, Xs, Xw, and Tg) and outcomes (COP, ĖD, and overall ĖD). The results revealed that the generator exhibits considerable ĖD regardless of operating conditions, underscoring its pivotal role in the ARC. It emerges as the primary ĖD contributor (50 %), followed by the evaporator (17 %) and the absorber (15 %). However, ĖD associated with the recooler, pump, and expansion valves is negligible in comparison. Optimization results reveal that, when minimizing Tg and ĖD, the highest COP and ĖD at Tg of 373.15 K reach 0.8081 and 0.46, respectively.

AMANDA (Your Plant Monitoring Application) Implementation Android Application Program Project Management Using Agile Scrum Method and Trello

Software development is closely related to several Software Development Lifecycle (SDLC) processes. PT Inamas Sintesis Teknologi (INASTEK) is committed to helping employees work easier through Internet of Things (IoT) based technology. This research aims to manage a project for making your Plant Monitoring Application (AMANDA) which can be accessed via a smartphone. This research method uses agile scrum which can adapt to user needs which can be developed repeatedly and the Trello application as an archive of sprint data for each division. The results of this study are the AMANDA application which is able to monitor and control strawberry plants in real-time which is equipped with a menu of temperature, humidity, ec meter, ph meter, water level, soil moisture, liquid temp, co2 level, water pump, nutrient pump, pump pH, sample pump, plant pump, and pipe valve with 3 second delay. Work on this application development project with a duration of 3.5 months and a total cost of Rp. 13,999,891 involving PT INASTEK as product owner, Product Management Division as scrum master, and Engineering Division as development team. With the AMANDA application, it can help PT. INASTEK in developing the projects they have.

Methylene blue removal via photocatalysis by continuous tubular photoreactor with TiO2

The Indonesian batik industry has dominated the global market with an export value in 2022 of around US$ 25.31 million or Rp 392.74 billion. Environmental implications are also substantial, as 10–20% of the total dye products utilized in batik dyeing are typically lost in effluent and discharged into bodies of water. Photocatalysis with TiO2 has been widely studied as a method that can be applied to wastewater treatment because it has high photoreactive properties and chemical stability compared to other materials. A tubular photoreactor system with continuous flow for processing dye waste in the batik industry has been successfully developed. This equipment consists of five reactors arranged in parallel connected by a 1/2-inch pipe and equipped with a circulation pump, flowmeter, feed tank, panel box, and flow valve. This system is used for the photocatalysis process with a TiO2 catalyst dose of 1.5 gr/l with flow rate variation. The results show that the color of the solution changed and the results of measurements using UV-VIS showed that the concentration of methylene blue decreased from 4.871 ppm to 0.081 ppm with the flow rate of 3 L/min. The kinetic constant for this variable is 0.01762/min with R2 = 0.98675.

Digitalization of Radial Piston Pumps through Internal Mechanically Actuated Designs

Digital hydraulics is a technology gaining perceptible growth in fluid power research. The advantages of digital fluid power systems can be realized through improved system efficiencies, energy savings, increased productivity, and system performance compared to traditional fluid power systems. Conventional check valve pumps use differential pressures to deliver pressurized flow to the system. Digital fluid power pumps enable conventional check valve pumps to achieve variable displacements by enhancing the controllability of the inlet and outlet valves through digital hydraulic technologies and techniques. The benefit of this technology is the use of positive sealing check valves with lower leakage losses compared to typical variable displacement pumps, increasing the unit’s overall efficiency. The primary focus of prior digital pump/motor research has been on digital actuation using electronic solenoids to actuate or latch the valves. While these electrical systems provide a platform for digital hydraulic techniques, they come with a cost: added energy sources, advanced controls, and expensive data acquisition systems. Research has also shown that minor valve timing inconsistencies can limit the potential energy savings of digital pumps in electrically actuated systems. A system configuration that promotes the advantages of digital hydraulics while mitigating the disadvantages associated with electrical systems is mechanically actuated systems. This work discusses variable cams and their advantages/disadvantages in digital radial piston pump/motor technologies. The significance of this work is the investigation of the digitalization of radial piston pumps through mechanically actuated valving systems, which has yet to be implemented in prior research. This paper evaluates various design concepts for commercializing digital radial piston pumps using mechanically actuated cams. A two-quadrant pump and a four-quadrant pump/motor design are simulated to assess their potential efficiency across the bandwidth of their displacement. The results show that the two systems can achieve relatively high efficiencies across their displacement bandwidth but show room for further improvement by optimizing these systems. This study is the first step in designing an integrated mechanically actuated variable cam system in digital radial piston pumps.

Rethinking Reliability in Terms of Margins

Current reliability approaches were designed to assess and quantify the reliability associated with complex systems such as nuclear power plants (NPPs). These approaches are generally based on classical Boolean logic structures such as event trees (ETs) and fault trees (FTs) [Rausand, 2020]. The outcome obtained by combining FTs and ETs is the set of minimal cuts sets (MCSs), with each MCS representing a unique combination of BEs that leads to an undesired outcome (e.g., core damage). Probabilistic evaluation of a MCS is performed by evaluating the product of the probability values associated with each BE. A relevant factor here is that the probability values associated with BEs used in the plant models are updated at least every 4 years based on past operational experience and through the use of a Bayesian statistical process [Siu, 1998]. Hence, the probability value of a BE associated with a physical asset (e.g., a centrifugal pump or motor-operated valve) in no way reflects that asset’s actual condition and performance.&#x0D; This fact plays a major role in the application of plant reliability models to support risk-informed decisions. With the particular goal of reducing operation and maintenance costs, existing NPPs are moving from corrective and periodic maintenance toward new types of predictive maintenance strategies [Agarwal, 2021]. This transition is designed such that maintenance is conducted only when the asset requires it (i.e., prior to undergoing imminent failure). And though these benefits cannot be achieved through actual reliability modelling methods and currently employed reliability data, they can be achieved by employing asset-monitoring sensors, automated data acquisition systems, data analysis methods, and improved decision-making processes. Combined, these resources can provide precise information on the health of an asset, track its degradation trends, and estimate its expected failure time. Based on such information, maintenance operations can be scheduled and performed for each asset on an as-needed basis. This dynamic context of predictive maintenance operations requires new methods of data analysis, the propagation of asset health information from the asset level to the system level, and the optimization of plant resources.&#x0D; This paper provides an alternative reliability approach designed for a predictive maintenance context in which a direct link is created between monitoring data and decision-making. Rather than thinking of reliability in terms of system/asset probability of failure, we propose a reliability mindset based on the concept of margin [Mandelli, 2023]. An asset’s health is quantified by determining its margin, based on the asset’s current and historical monitoring data. The margin values of the monitored asset are then propagated through system reliability models (e.g., FTs or reliability block diagrams) to identify the assets that are more critical to guarantee system operation. We show how a margin-based approach can be used assess asset health, based solely on current and historic monitoring data (e.g., condition-based, anomaly detection, diagnostic, and prognostic data) [Xingang, 2021]. A margin-based approach directly addresses the limitations of classical reliability modelling approaches and provides a snapshot of system health—given the availability of monitoring data. These two different approaches are designed to address different types of decisions: classical reliability models support static decisions (e.g., a set frequency of periodic maintenance or surveillance operations) based on past operational experience, whereas a margin-based approach directly supports dynamic decisions involving maintenance operations that should only be performed when necessary, based on monitoring data (i.e., a predictive maintenance context).