Performance Analysis Of Different Types Research Articles

Comparative performance analysis of different types of k-nearest neighbor (k-NN) classifiers for fault diagnosis of air compressor setup

This paper presents a method for identifying Reciprocating Air Compressor (RAC) faults using acoustic signals obtained from both healthy and unhealthy conditions. The entire procedure is carried out with Uni-directional microphones using a LABVIEW-based data collection interface and data acquisition (DAQ) hardware unit that has several ports. Accumulated one healthy and seven unhealthy signals of RAC setup processed using signal processing technique called Local Mean Decomposition (LMD). Further, six Statistical Properties (SPs) have been evaluated in order to extract fault features namely: mean (US), variance (σ s2), root square of mean (Mrms), root amplitude of mean (Mrma), absolute amplitude of mean (Mama), and Kurtosis index (Ki). Extracted fault features are classified using various types of k-NN classifiers namely: fine (f-kNN), medium (m-kNN), coarse (c-kNN) and weighted (w-kNN). It has been found that LMD along with 6 statistical properties and form different type of k-NN classifiers, the weighted k-NN classifier has a greater accuracy of 86.74%, which is quite accurate as compared to other k-NN classifiers.

Analysis and Research on Comprehensive Evaluation Method of Operation Performance of Hospital Valuable Equipment

To study the effective method of comprehensive evaluation and analysis of hospital valuable medical equipment performance. The operation performance of 6 valuable equipment was evaluated by cost-benefit method, comprehensive index method and public evaluation method. Utilize equipment information management methods for data collection and evaluation, and construct an assessment data model based on evaluation indicators from three aspects: equipment operation status, profitability status, and scientific research contribution. Through the performance analysis of different types of valuable medical equipment, a more real and comprehensive quantitative analysis is carried out, which plays a key role in the reasonable purchase, efficient operation and avoiding idling.

Performance Analysis of Different Types of Solid Electrolytes

The development and interest in environmentally friendly cars nowadays present new challenges to the lithium-ion batteries. With the safety problems caused by the liquid electrolyte in conventional batteries, the development of new electrolytes is becoming increasingly urgent. Based on the existing literature, this paper discusses the following: (1) the advantages and disadvantages of solid-state electrolytes; (2) Requirements for solid electrolytes; (3) Classification and characteristics of solid electrolytes; (4) Properties of different types of electrolytes; (5) Future application and research direction. Performance and possible applications of different solid-state electrolytes are presented in this paper. Specifically, it is found that inorganic solid electrolytes are the best in ion transference number, making them suitable for quick charging batteries. Polymer-based solid electrolytes perform better at electrochemical window, so they can be used to enhance the energy density of batteries. Polyethylene glycol (PEG) based composite solid electrolytes and sulfide solid electrolytes have the highest ionic conductivity, so they are optimum materials for high-rate performance batteries.

Techno-economic analysis of thermal energy storage systems

The rising energy demand can be met by increasing the share of renewable energy by overcoming the barriers of poor conversion efficiency, intermittent energy supply, and lower thermo-economic viability. Thermal energy storage technology can play a pivotal role in addressing these challenges. Thermal energy storage systems are still in the developing phase due to low energy density, higher investments, and poor storage efficiency. The present study is carried out to disseminate updated information pertaining to the technological innovations and performance analysis of different types of thermal energy storage systems. The primary focus of this study is to present a critical analysis and discussion on the current status of thermal energy storage technology that can help identify the thrust areas of future research for improved techno-economic designs. The analysis unfolds the need to reduce the size of sensible energy storage systems by enhancing the volumetric heat transfer rates and improving the thermal response of latent energy storage systems by enhancing the thermal conductance of phase change materials. The thermal response of the latent energy storage systems can be improved by the addition of extended surfaces, composites of PCM and metal foam, PCM, and metal powder. Hybrid systems are relatively new therefore more explorations are needed for ensuring the compactness and the economic feasibility of these systems.

Technical performance analysis of different types of spirometers

BackgroundThe spirometer is an important element in lung function examinations, and its accuracy is directly related to the accuracy of the results of these examinations and to the diagnosis and treatment of diseases. Our aim was to conduct a performance analysis of the detection techniques of differential pressure and ultrasonic portable spirometers commonly used in China.MethodsA standard flow/volume simulator was used to analyze the performance (accuracy, repeatability, linearity, impedance, and so on) of portable spirometers, 4 imported and 6 domestic, based on 13 curves generated by different air sources in the ISO 26782:2009 standard. A Bland–Altman diagram was used to evaluate the consistency between the values measured by the spirometers and the simulator.ResultsThe pass rates for accuracy, repeatability, linearity, and impedance for the 10 different portable spirometers were 50%, 100%, 70%, and 70%, respectively. Only 30% (3/10) of the spirometers—2 domestic and 1 imported—met all standards of quality and performance evaluation, while the rest were partially up to standard. In the consistency evaluation, only 3 spirometers were within both the consistency standard range and the acceptability range.ConclusionThe quality and performance of different types of portable spirometers commonly used in the clinic differ. The use of a standard flow/volume simulator is helpful for the standard evaluation of the technical performance of spirometers.

A review on acoustic performance analysis of reactive muffler

This paper highlights on acoustic performance analysis of different types of reactivemufflers. The performance of the muffler is measured in terms of insertion loss(IL), transmissionloss (TL), leveldifference (LD)or noise reduction (NR). The transmission loss (TL) is one of the important parametermostly used for acoustic performance analysis of muffler.The transmission loss of the muffler is determined with incident power by decomposition theory and transmitted power by plane wave approximation assuming anechoic termination. The exhaust noise generated by the vehicle must be within limit as prescribed by pollution control board norms to meet the customer expectations.The exhaust system noise makes a huge contribution to the exterior noise. To attenuate the noise generated from the vehicle different types of reactive muffler are used as per target frequency of engine.This paper presents a review on the acoustic performance of reactive muffler with simple expansion chamber-circular, elliptical&rectangular cross section, muffler with Extended Inlet and Extended outlet, conicalmuffler, muffler with perforated pipe, muffler with baffle plate, Plug muffler, Split stream rushing muffler and muffler with corrugated pipe.

Performance Analysis of Different Types of Machine Learning Classifiers for Non-Technical Loss Detection

With the ever-growing demand of electric power, it is quite challenging to detect and prevent Non-Technical Loss (NTL) in power industries. NTL is committed by meter bypassing, hooking from the main lines, reversing and tampering the meters. Manual on-site checking and reporting of NTL remains an unattractive strategy due to the required manpower and associated cost. The use of machine learning classifiers has been an attractive option for NTL detection. It enhances data-oriented analysis and high hit ratio along with less cost and manpower requirements. However, there is still a need to explore the results across multiple types of classifiers on a real-world dataset. This paper considers a real dataset from a power supply company in Pakistan to identify NTL. We have evaluated 15 existing machine learning classifiers across 9 types which also include the recently developed CatBoost, LGBoost and XGBoost classifiers. Our work is validated using extensive simulations. Results elucidate that ensemble methods and Artificial Neural Network (ANN) outperform the other types of classifiers for NTL detection in our real dataset. Moreover, we have also derived a procedure to identify the top-14 features out of a total of 71 features, which are contributing 77% in predicting NTL. We conclude that including more features beyond this threshold does not improve performance and thus limiting to the selected feature set reduces the computation time required by the classifiers. Last but not least, the paper also analyzes the results of the classifiers with respect to their types, which has opened a new area of research in NTL detection.

Performance Analysis of Different Types of Sensor Networks for Cognitive Radios

We consider the problem of using multiple sensors to detect whether a certain spectrum is occupied or not. Each sensor sends its spectrum sensing result to a data fusion center, which combines all the results for an overall decision. With the existence of wireless fading on the channels from sensors to data fusion center, we examine three different mechanisms on the transmissions from sensors to data fusion center: (1) direct transmissions; (2) transmissions with the assistance of relays and (3) transmissions with the assistance of an intermediate fusion helper which fuses the sensing results from the sensors and sends the fused result to the data fusion center. For each mechanism, we analyze the correct probability of the overall decision made by the data fusion center. Our evaluation establishes that a sensor network with an intermediate fusion helper performs almost as good as a sensor network with relays, but providing energy and spectral advantages. Both networks significantly outperform the sensor network without relay or intermediate fusion helper. Such analysis facilitates the design of sensor networks. Furthermore, we generalize this evaluation to sensor networks with an arbitrary number of sensors and to sensor networks applying various information combining rules. Our simulations validate the analytical results.

Prospect & Future of Solar Dryer: Perspective Bangladesh

Energy is one of the main concerns for the growing future of any nation. Energy is by far the largest merchandise in the world and an enormous amount of energy is extracted, distributed, converted and consumed in our global society daily. The per capita energy consumption of Bangladesh is one of the lowest amongst the sub continent. Despite only 32% population has access to the National grid, The Government of Bangladesh a noble vision to provide electricity for all by the year 2020.Target of meeting 5% of total electricity demand from RE by 2010 and 10% by the year 2020 .In crisis conditions energy usage should be appropriate and meticulous. Our technology for energy harvest, conversion and efficient application is still lacking behind with that of developed world. We should give emphasis for the development of indigenous technology. Bangladesh is situated between 20.30 and 26.38 degrees north latitude and 88.04 and 92.44 degrees east longitude, which is an ideal location for solar energy utilization. Daily solar radiation varies between 4 and 6.5 kWh/m2.In this regard, solar dryer for domestic as well industrial usage could be an effective alternative of saving conventional energy. Utilization of solar thermal energy through solar dryer is relatively in a nascent state in our country. The objective of this paper is the design & performance analysis of different types of solar dryer & its prospect in Bangladesh.