Asset Condition Research Articles

Detecting Geothermal Operational Asset Anomalies Using the Locality-Sensitive Hashing (LSH) Algorithm

Geothermal power plants are crucial for sustainable energy generation, necessitating the reliable maintenance of their operating assets. This research proposes an approach for asset maintenance through anomaly detection using the Locality- Sensitive Hashing (LSH) algorithm. The accuracy and coverage of traditional anomaly detection approaches in geothermal power plants may be constrained by sensor monitoring systems. The LSH algorithm is used to improve detection skills and get a full understanding of the state of important assets. The proposed method utilizes historical sensor data collected during geothermal power plant operations. This data is transformed into hash codes using LSH, effectively capturing similarities between various operational states and asset conditions. By comparing the hash codes of the current operational state with a library of precomputed hash codes representing typical operating conditions, the LSH algorithm can identify deviations indicating potential irregularities. This facilitates early detection of anomalies, even in large-scale databases, enabling prompt maintenance interventions. The application of anomaly detection using the LSH algorithm provides benefits such as improved asset maintenance planning, reduced downtime, and increased operational safety. By leveraging data-driven analysis and the effectiveness of LSH, geothermal operators can detect faults early, enabling prompt interventions and optimizing reliability and efficiency. By leveraging historical sensor data and the efficient similarity approximation capabilities of LSH, the proposed approach enables early diagnosis of problems, improving maintenance planning and optimizing geothermal operations. Keywords: geothermal assets, locality-sensitive hashing, asset condition, fault detection, reliability

Owning towards death: The asset condition as existential conundrum

Abstract Moral and pragmatist sociology has studied capitalism as a set of institutions that require justification, which has historically been offered through forms of rewarding and meaningful work, anchoring the human life course in a narrative of individual and collective progress. However, emerging with neoliberalism, then becoming explicit after 2008, contemporary capitalism has become organised around the logic of assets and wealth as opposed to labour and production. This provokes a vacuum of justification. Once all actors are (as Minsky argued) balance sheet actors and profit becomes a function of sheer temporality, the economy ceases to function as a moral order and instead becomes imbued with existential concerns of temporality, durability, survival, and finitude. Possessed only of certain contingently acquired assets and liabilities, the self becomes wholly contingent in the sense described by Heidegger; that is, as ‘thrown’ into having had a past and into a relationship of ‘care’ towards the future. The article identifies symptoms of this existential condition in empirical studies of wealth elites, for whom (in the absence of conventional liberal and production-based measures of worth) problems of meaning, purpose, and finitude are endemic.

Neighborhood assets, parenting, and child disruptive behavior in low-income Black families.

Neighborhood assets, such as access to recreational facilities, density of residence, and safety, were examined in relation to parenting and disruptive behavior in early childhood. Examining data from a low-income Black preschool sample, this study investigated how self-reported neighborhood assets and observed parenting behaviors interactively predict observed disruptive behavior in children. Findings revealed a significant relationship between parenting and child behavior, where parenting with high sensitivity and engagement and parenting with less verbal and physical interference and intrusiveness predicted fewer child disruptive behaviors. There was also a significant interaction between neighborhood assets and parenting behaviors on child disruptive behavior, in which nonoptimal parenting behaviors predicted child disruptive behaviors to a greater degree in neighborhoods with fewer assets. On the other hand, optimal parenting was protective of child outcomes under conditions of fewer assets, above and beyond parenting in neighborhoods with greater assets. Few studies have examined this complex relationship between the neighborhood, parenting, and child disruptive behavior with the use of self-report and observational measures utilized in this study. Furthermore, few studies have examined this relationship within such a high-risk preschool sample. Given these findings, there is a need to improve neighborhoods to better support families. Additionally, clinicians may need to be more attentive to the effects of parenting and neighborhood assets on disruptive behavior in early childhood. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Completing the legal framework for asset registration in Vietnam to meet the demands of economic development

The design of asset registration has significant importance in publicly disclosing and transparently informing about the legal status of assets, closely linked to the civil rights of individuals and organizations when establishing and exercising ownership rights and other rights related to assets. A truly market-oriented economy cannot function without the existence and operation of a transparent and modern asset registration system. Therefore, in recent years, Vietnam has made efforts to establish legislation on property registration, which serves as a crucial legal foundation for recognizing and protecting ownership rights and other rights related to the assets of organizations and individuals. This helps enhance the government’s ability to manage information on the current status and legal condition of assets. The article analyzes the economic impacts of improving the legislation on property registration in Vietnam to meet the requirements of economic development in the context of integration.

Tracing offshore marine ecosystem asset changes based on physical accounting: A case of Xiamen Sea Area

Assessing temporal and spatial changes in marine ecosystem assets is critical for the capitalized management of natural resources and their contribution to human well-being. However, quantifying these changes using different inclusion methods in the System National Account is a challenge. Ecosystem accounting has become a popular topic in recent years, particularly after the System of Environmental and Economic Accounting-Ecosystem Accounting was published in 2021. However, few practical studies have been conducted on offshore marine ecosystem accounting, including marine ecosystem assets and services. This study provides a systematic framework to prioritize the assessment of offshore marine ecosystem assets (extent and condition) in physical terms, including the determined indicators of physical accounts and the presentation of accounting results. We then used this framework to assess marine ecosystem assets in the Xiamen Sea Area selected from 2006 to 2020. The results show that: (a) The extent of the marine ecosystem in Xiamen decreased by 8.34% from 349.64 km2 to 320.49 km2, mainly caused by converting intertidal ecosystem into the land due to the demand for urban and industrial use sea. (b) The area of intertidal vegetation habitats (mangroves and salt marshes) increased from 23.22 hm2 to 132.2 hm2, with an increase of 4.7 times. The results also show that the restoration of the marine ecology in Xiamen has achieved remarkable results. (c) The marine ecosystem condition comprehensive index in Xiamen increased by 3.13% from 0.32 to 0.33. This shows that the marine ecosystem conditions in Xiamen remain well and have even slightly improved under the pressure of a rapidly developing economy and increasing population. This study provides practical technical methods for assessing offshore marine ecosystem in physical term to support integrated coastal management in coastal cities, and is important for assessing marine ecosystem services in the future.

Weighting Variables for Transportation Assets Condition Indices Using Subjective Data Framework

Weighting Variables for Transportation Assets Condition Indices Using Subjective Data Framework

Optimizing Maintenance of Energy Supply Systems in City Logistics with Heuristics and Reinforcement Learning

In urban logistics, effective maintenance is crucial for maintaining the reliability and efficiency of energy supply systems, impacting both asset performance and operational stability. This paper addresses the scheduling and routing plans for maintenance of power generation assets over a multi-period horizon. We model this problem as a multi-period team orienteering problem. To address this multi-period challenge, we propose a dual approach: a novel reinforcement learning (RL) framework and a biased-randomized heuristic algorithm. The RL-based method dynamically learns from real-time operational data and evolving asset conditions, adapting to changes in asset health and failure probabilities to optimize decision making. In addition, we develop and apply a biased-randomized heuristic algorithm designed to provide effective solutions within practical computational limits. Our approach is validated through a series of computational experiments comparing the RL model and the heuristic algorithm. The results demonstrate that, when properly trained, the RL-based model is able to offer equivalent or even superior performance compared to the heuristic algorithm.

Musculoskeletal Health Problems Among the Loom Weavers of Sirajganj District, Bangladesh

Land use change is increasing in West Nusa Tenggara province, especially in Bima district. This condition occurs because people who make land use change patterns that are utilized as agricultural areas for corn commodities. The limited agricultural land in Bima Regency with the potential for good selling prices of corn commodities is a major factor in land use change, this has an impact on flood disaster vulnerability. This study aimed to determine the condition of the livelihood assets of seasonal corn farmers in the Bima district. The research method used a descriptive presentative statistical approach. The sample in this study amounted to 97 respondents who were taken in 8 districts with flood vulnerability, namely Sanggar, Madapangga, Palibelo, Woha, Belo, Monta, Sape, and Lambu. Random sampling was used to determine the respondents. The results showed that the condition of the livelihood assets of seasonal corn farmers in Bima District from 8 flood-prone villages is dominated by human resources, where the average percentage value is 83%. This is followed by physical assets at 81% and natural and financial resources at 71%, while the lowest is social assets with a percentage value of 69%. The farmer livelihood assets with high percentage values in each flood-prone area are human resources in Sanggar, natural resources in Palibelo, financial and physical in Sape, and social assets in Palibelo and Woha. The pentagon of livelihood assets does not form a triangle, so it can be concluded that there is inequality between assets. The lack of agricultural land owned by farmers encourages the use of land cover as corn farmland. This can be seen from the use of land by farmers that is not their own, resulting in environmental damage that causes flood vulnerability. Keywords: Land use change, Livelihood assets, Flood Disaster

Assessing the impact of human activities on ecosystem asset dynamics in the Yellow River Basin from 2001 to 2020.

The intensification of human activities in the Yellow River Basin has significantly altered its ecosystems, challenging the sustainability of the region's ecosystem assets. This study constructs an ecosystem asset index for the period from 2001 to 2020, integrating it with human footprint maps to analyze the temporal and spatial dynamics of ecosystem assets and human activities within the basin, as well as their interrelationships. Our findings reveal significant improvement of ecosystem assets, mainly attributed to the conversion of farmland back into natural habitats, resulting in a 15,994km2 increase in ecological land use. Notably, 45.88% of the basin has experienced concurrent growth in both human activities and ecosystem assets, with ecosystem assets expanding at a faster rate (22.61%) than human activities (17.25%). Areas with high-quality ecosystem assets are expanding, in contrast to areas with intense human activities, which are facing increased fragmentation. Despite a global escalation in threats from human activities to ecosystem assets, the local threat level within the Yellow River Basin has slightly diminished, indicating a trend towards stabilization. Results highlight the critical importance of integrating spatial and quality considerations into restoration efforts to enhance the overall condition of ecosystem assets, especially under increasing human pressures. Our work assesses the impact of human activities on the dynamics of ecosystem assets in the Yellow River Basin from 2001 to 2020, offering valuable insights for quality development in the region, may provide a scientific basis for general watershed ecological protection and sustainable management in a region heavily influenced by human activity but on a path to recovery.

The Practice of Changing the Status of Change of Waqf Property in the Islamic Social Economic View

The purpose of this study is to reveal and analyze the practice of changing the exchange status of waqf assets in the view of the Islamic social economy. This type of research is included in qualitative research, which is derived from interviews and data observation. The source of this research data consists of primary data sources, namely researchers directly conduct interviews with the parties concerned in the process of exchanging waqf property at the At-Taqwa mosque, researchers also use secondary data sources, namely books, articles, and other reference materials. The results of the study explained that in the case of exchanging waqf property at Masjid At-Taqwa by Government Regulation Number 28 of 1977 and Law Number 41 of 2004. As for the aspect of Islamic Law, in the opinion of Imam Hanafi, if the waqf property can no longer provide benefits, it can be exchanged or replaced. On the contrary, according to the Shafi'iyah and Maliki Schools, it forbids all forms of exchange and replacement of waqf property under any circumstances. And according to Hanafiyah any form of exchange or replacement of all waqf objects depends on the power of the wakif at the time the pledge is pronounced by the wakif. The originality/novelty of this study offers originality by examining how changes in the status of waqf assets can affect people's welfare, both in terms of economics and society. In Islam, waqf is not only seen as charity but also as an economic instrument that can empower the community. Thus, a change in the status of waqf assets, for example from waqf land to commercial property, can have a significant impact on local economic empowerment.

Preparing Auditors to Evaluate Blockchains Used to Track Tangible Assets

SUMMARY This article summarizes “Tracking Tangible Asset Ownership and Provenance with Blockchain” (Sheldon 2022), which introduces auditors to the risks of using blockchain’s shared repository to track assets in the physical world. The underlying challenge is keeping the status of tangible assets aligned with their digital representations on a blockchain. In response, the summary focuses on the parties, technologies, and processes that make this task complex. The summary begins with an overview of how blockchain can be used to track tangible assets, then discusses four stages of tracking tangible assets with blockchain: (1) design and governance of a blockchain, (2) asset creation, (3) asset transfer, and (4) asset retirement. Based on the risks highlighted in these four stages, the summary presents a framework of risk considerations and control objectives that auditors can use to evaluate the extent to which a blockchain serves as a reliable repository for tracking tangible assets.

An asset management modelling framework for wind turbine blades considering monitoring system reliability

By incorporating information about asset condition from a monitoring system, engineers can utilize asset management models to manage maintenance activities on wind turbine blades throughout their lifespan. This can lower operating and maintenance costs and increase the life of the blades. The asset management model relies on the monitoring system as a source of information, however, commonly the reliability of the monitoring system is not considered. This paper presents a wind turbine blade asset management Petri net (PN) model that covers the blade asset management process, including degradation, inspection, condition monitoring (CM), and maintenance processes. The paper proposes two contributions. Firstly, while taking into account detailed industry guidelines, the developed model can forecast the future blade condition for a given asset management strategy. Secondly, it investigates the impact of the reliability of the monitoring system on the asset management modelling results. With the aid of the developed model, the number of repair actions and probability distributions of blade condition discovery time are obtained. In addition, the PN gives an indication of how misreporting (underestimation and overestimation) occurs and the extent of the misreporting. The simulation results illustrate the degree of uncertainty introduced into the monitoring results by the reliability of the monitoring system and, consequently, the extent to which this factor influences the maintenance strategies. The proposed model can be used to support asset management decisions when monitoring system performance degrades.

Customized Approaches for Introducing Road Maintenance Management in I-BIM Environments

Road maintenance management aims to satisfy quality, comfort, and safety requirements for the various assets. To overcome delays and barriers in the widespread adoption of road management systems, the Building Information Modeling (BIM) approach may offer significant advantages as a convenient alternative for road maintenance management. Although existing BIM platforms are not fully equipped for this purpose, defining original modules and scripts can extend their capabilities, allowing for the handling of road condition information and maintenance management. In this context, this paper presents an operative framework designed to leverage BIM benefits for road maintenance management, particularly in terms of virtual inspection, asset condition assessment, and maintenance design. To achieve this, specific original and customized smart objects and routines were coded in I-BIM platforms, tailored to different scales, aims, and detail levels. These smart objects incorporate user-defined extended attributes related to pavement condition and maintenance planning (such as roughness, rutting, structural capacity). In particular, the authors have developed original virtual smart objects in different platforms, serving as “containers” for the survey information. These objects are adapted to display quality levels of the pavement segments in a realistic and user-friendly environment. Additionally, original routines were coded to automatically import survey data from external datasets and associate this information with the appropriate objects. This customized and extended approach, not available in commercial platforms, can effectively support maintenance operators.

RESTITUTIO IN INTEGRUM: BETWEEN STATE INTERESTS VS VICTIMS IN FRAUDULENT INVESTMENT CASES (Study of Binomo Fraudulent Investment Decision)

<table border="0" cellspacing="0" cellpadding="0"><tbody><tr><td valign="top" width="388"><p class="TableParagraph"><em>The aim of investment is basically to gain profits in the future. However, along with the rapid development of information technology, it is increasingly having negative impacts, one of which is "fake investment", as carried out by a convict with the initials IK. What is interesting about this case is regarding the status of the convict's assets. The Tangerang District Court decided that IK's assets were confiscated by the state. The victims also felt disappointed. However, this changed at the appeal level, where the Banten High Court gave a decision that IK's assets be returned to the victim. Due to the mutual attraction between the interests of the State VS the interests of the victims, this article will discuss legal protection efforts for victims of fraudulent investments in Indonesia and the mechanisms for recovering losses both to the victims and to the national economy that arise as a result of the practice of "investment." bulging". This research uses a Legal Research Method with a statute approach and a case approach. The research results show that legal protection related to fraudulent investments still focuses on mitigation, not prevention. Apart from that, it is felt that law enforcement efforts are still less effective, especially regarding Restitutio in integrum or restoration of the original situation.</em><em></em></p><p class="TableParagraph"> </p></td></tr></tbody></table>

Implementasi Sistem Informasi Manajemen Aset Kelompok Ternak Ikan Hias Sumedang Menggunakan Metode Prototype

This study develops and implements an Asset Management Information System for Ornamental Fish Breeding Groups in Sumedang using the prototype method. The objective is to streamline the management of asset data, inventory, and asset condition monitoring in an efficient and organized manner. The prototype method was selected because it promotes intensive interaction between developers and users, enabling quick identification and resolution of needs and issues. The development stages include communication, planning, design modeling, prototype creation, and system implementation. This system features the ability to record and monitor assets, track asset loans, and log asset maintenance, thereby generating accurate reports and minimizing data errors. It is expected that this information system will help ornamental fish breeding groups in Sumedang manage their assets more effectively, boost productivity, and support the sustainability of their business.

Sistem Informasi Manajemen Aset PT. Citra Putra Kebun Asri Jorong Estate Berbasis Web

Assets generally state that assets are resources controlled by the company as a result of past events where future economic benefits are expected to be obtained by the company. Company assets originate from transactions or other events that occurred in the past. Companies usually acquire assets through outlays in the form of purchases or self-production. The Head of Administration independently handles asset data collection and is still done manually using Microsoft Excel. Recording of asset items based on space, fields and conditions is not yet in the application, so the admin does not know the exact number of indoor asset items, fields and does not know the condition of asset items, if re-data of indoor asset items, fields and conditions takes a long time, it is necessary development of applications for recording indoor assets, fields and conditions of asset items. This condition can also lead to the possibility of data collection errors and also the length of time in searching for data if needed at any time. Asset Management Information System PT. Citra Putra Kebun Asri Jorong Estate Web-based using MySQL database. The designs used are Entity Relationship Diagrams (ERD), Data Flow Diagrams (DFD), and Flowcharts. The programming language used is Hypertext Preprocessor (PHP). The system development model used is the waterfall model. The functionality test used is Blackbox testing.

A survey of vision-based condition monitoring methods using deep learning: A synthetic fiber rope perspective

Computer vision technology has attracted significant interest in the condition monitoring (CM) community due to its potential to automate visual inspection and analysis of structures and components. By facilitating the processing and interpretation of visual information, including images and video data, computer vision holds promise for CM applications. However, it is essential to distinguish computer vision from non-contact CM techniques regarding their underlying principles and methods. While computer vision enables non-contact, remote monitoring, and condition assessment with minimal disruption to daily operations, it is distinct from non-contact CM techniques, which utilize various sensors to assess the condition of assets without physical contact or interference. Building upon the potential of computer vision technology, this survey paper presents a comprehensive overview of the current state-of-the-art CM methods based on computer vision and deep learning (DL) techniques, focusing on their application in monitoring synthetic fiber ropes (SFRs). SFRs are a viable alternative to steel wire ropes for underwater equipment and cranes that handle heavy loads. This is due to their high resistance to frictional wear, high tensile strength, lightweight, and flexibility. New materials, technologies, and processes for CM are being developed to meet the growing demand for SFRs. The paper explores ongoing research in applications that monitor the wear and aging of materials, as well as estimate their remaining useful life. The survey briefly discusses the traditional non-destructive testing and machine learning (ML) methods for CM applications. More importantly, DL-based methods, including supervised, unsupervised, semi-supervised, and self-supervised methods, are discussed in detail, together with the use of deep generative models and the recently developed diffusion models in the generation of synthetic datasets. Furthermore, the paper addresses the difficulties present in DL-based CM applications, including the scarcity of labeled data and the complexity and variety of the models used. The article ends by discussing the benefits of employing DL-based visual methods to understand SFR degradation processes, particularly in monitoring and maintenance.

Asset risk assessment and management of large-scale electricity enterprises under the concept of financial sharing

The power grid is an important industry that is crucial to national security and economic development, and its importance in society continues to grow. As an emerging concept, financial sharing enables internal resource sharing and optimization, thereby improving the efficiency and effectiveness of asset management. This study investigates and analyzes the current situation of asset management in large-scale electricity enterprises in X Province, China, and proposes a comprehensive asset management strategy optimization plan based on the concept of financial sharing. The proposed plan integrates management models such as PDCA and designs an entire information management architecture to enhance resource utilization efficiency, reduce environmental pollution risks, and optimize asset allocation and operational decisions. In addition, it also utilizes the status of assets to assess the risks associated with fixed assets in the power grid. The results indicate that the asset risk assessment method under the concept of financial sharing can reduce power grid asset losses, effectively enhance the competitiveness and sustainable development capabilities of electricity enterprises.

On Conserving Privacy in Structural Health Monitoring

The ability to make informed decisions with regards to maintenance and service life is critical across many high-value industries. Making accurate predictions about the condition of assets is a key goal and one supported by structural health monitoring (SHM) strategies. To help support this aim, the development of a population-based approach to structural health monitoring (PBSHM), has been making progress in recent years. This solution for dealing with structures, aims to group them together in “populations” and transfer information between individuals, within the population. PBSHM necessitates the sharing of information between structures, which may not all be controlled by a single stakeholder. Therefore, a concern arises that PBSHM may compromise “private” information between different organisations or individuals if their assets are included in a PBSHM scheme. This work will seek to demonstrate a solution to this problem. Differential Privacy is a probabilistic privacy regime that retain population trends in a dataset whilst keeping individual data private from others by the injection of random noise into the data. In this context, privacy is a one-way mapping which obscures sensitive information in a dataset, in a non-reversible manner; as opposed to encryption which may be “broken”. Being differentially-private gives a bound on the amount of information which is ever recoverable. Being able to protect discriminating features of different structure designs from other parties will promote and accelerate the adoptions of PBSHM strategies in industrial settings, where protecting information is a key concern. This paper will demonstrate the application of differential privacy to a simulated homogeneous population of structures.

Local Network Interaction as a Mechanism for Wealth Inequality

Given limited institutional resources, low-income populations often rely on social networks to improve their socioeconomic outcomes. However, it remains in question whether small-scale social interactions could affect large-scale economic inequalities in under-resourced contexts. Here, we leverage population-level data from one of the poorest South African settings to construct a large-scale, geographically defined, inter-household social network. Using a multilevel network model, we show that having social ties in close geographic proximity is associated with stable household asset conditions, while geographically distant ties correlate to changes in asset allocation. Notably, we find that localised network interactions are associated with an increase in wealth inequality at the regional level, demonstrating how macro-level inequality may arise from micro-level social processes. Our findings highlight the importance of understanding complex social connections underpinning inter-household resource dynamics, and raise the potential of large-scale social assistance programs to reduce disparities in resource-ownership by accounting for local social constraints.