The Experts below are selected from a list of 3654 Experts worldwide ranked by ideXlab platform
Yang Chunsheng - One of the best experts on this subject based on the ideXlab platform.
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Cuckoo search optimized NN-based Fault diagnosis approach for power transformer PHM
IEEE, 2019Co-Authors: Li Anyi, Yang Xiaohui, Dong Huanyu, Yang ChunshengAbstract:An emerging prognostic and health management (PHM) technology has recently attracted a great deal of attention from academies, industries, and governments. The need for higher equipment availability and lower maintenance cost is driving the development and integration of prognostic and health management systems. PHM systems enable a pro-active Fault Prevention strategy through continuously monitoring the health of complex systems. Power transformer PHM will play a key role in securing and stabling electrical power supply to users, especially in the smart grid. In this paper, we present a novel approach for power transformer Fault diagnosis based on cuckoo search optimized neural network, also named it as dissolved gas analysis (DGA) approach. The proposed approach uses the Cuckoo Search (CS) algorithm to select the best parameters of backpropagation (BP) neural network, which can approximate any nonlinear relationships. The paper validates the usefulness and efficiency of the proposed approach by conducting simulation to compare the results to Particle Swarm Optimization (PSO) and Genetic algorithm (GA). The results demonstrated that the proposed approach outperformed other methods such as BP neural network, SVM, GA-BP, and PSO-BP. It significantly improved the performance and accuracy of Fault diagnosis/detection for power transformer PHM.Peer reviewed: YesNRC publication: Ye
Guy André Boy - One of the best experts on this subject based on the ideXlab platform.
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human machine cooperation a solution for life critical systems
Work-a Journal of Prevention Assessment & Rehabilitation, 2012Co-Authors: Patrick Millot, Guy André BoyAbstract:Decision-making plays an important role in life-critical systems. It entails cognitive functions such as monitoring, as well as Fault Prevention and recovery. Three kinds of objectives are typically considered: safety, efficiency and comfort. People involved in the control and management of such systems provide two kinds of contributions: positive with their unique involvement and capacity to deal with the unexpected; and negative with their ability to make errors. In the negative view, people are the problem and need to be supervised by regulatory systems in the form of operational constraints or by design. In the positive view, people are the solution and lead the game; they are decision-makers. The former view also deals with error resistance, and the latter with error tolerance, which, for example, enables cooperation between people and decision support systems (DSS). In the real life, both views should be considered with respect to appropriate situational factors, such as time constraints and very dangerous environments. This is known as function allocation between people and systems. This paper presents a possibility to reconcile both approaches into a joint human-machine organization, where the main dimensioning factors are safety and complexity. A framework for cooperative and Fault tolerant systems is proposed, and illustrated by an example in Air Traffic Control.
Alexey Furmanov - One of the best experts on this subject based on the ideXlab platform.
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f i mea technique of web services analysis and dependability ensuring
Lecture Notes in Computer Science, 2006Co-Authors: Anatoliy Gorbenko, Olga Tarasyuk, Vyacheslav Kharchenko, Alexey FurmanovAbstract:Dependability analysis of the Web Services (WSs), dsclosure of possible failure modes and their effects are open problems. This paper gives results of the Web Services dependability analysis using standardized FMEA- (Failure Modes and Effects Analysis) technique and its proposed modification IMEA- (Intrusion Modes and Effects Analysis) technique. Obtained results of FMEA-technique application were used for determining the necessary means of error recovery, Fault Prevention, Fault-tolerance ensuring and Fault removal. Systematization and analysis of WS intrusions and means of intrusion-tolerance were fulfilled by use of IMEA-technique. We also propose the architectures of the Fault and intrusion-tolerant Web Services based on the components diversity and dynamical reconfiguration as well as discuss principles and results of dependable and secure Web Services development and deployment by use of F(I)MEA-technique and multiversion approach.
Li Anyi - One of the best experts on this subject based on the ideXlab platform.
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Cuckoo search optimized NN-based Fault diagnosis approach for power transformer PHM
IEEE, 2019Co-Authors: Li Anyi, Yang Xiaohui, Dong Huanyu, Yang ChunshengAbstract:An emerging prognostic and health management (PHM) technology has recently attracted a great deal of attention from academies, industries, and governments. The need for higher equipment availability and lower maintenance cost is driving the development and integration of prognostic and health management systems. PHM systems enable a pro-active Fault Prevention strategy through continuously monitoring the health of complex systems. Power transformer PHM will play a key role in securing and stabling electrical power supply to users, especially in the smart grid. In this paper, we present a novel approach for power transformer Fault diagnosis based on cuckoo search optimized neural network, also named it as dissolved gas analysis (DGA) approach. The proposed approach uses the Cuckoo Search (CS) algorithm to select the best parameters of backpropagation (BP) neural network, which can approximate any nonlinear relationships. The paper validates the usefulness and efficiency of the proposed approach by conducting simulation to compare the results to Particle Swarm Optimization (PSO) and Genetic algorithm (GA). The results demonstrated that the proposed approach outperformed other methods such as BP neural network, SVM, GA-BP, and PSO-BP. It significantly improved the performance and accuracy of Fault diagnosis/detection for power transformer PHM.Peer reviewed: YesNRC publication: Ye
Patrick Millot - One of the best experts on this subject based on the ideXlab platform.
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a common work space for a mutual enrichment of human machine cooperation and team situation awareness
Analysis Design and Evaluation of Human-Machine Systems, 2013Co-Authors: Patrick Millot, Mariepierre PacauxlemoineAbstract:Abstract Especially in life-critical systems decision-making entails cognitive functions such as monitoring, as well as Fault Prevention and recovery. People involved in the control and management of such systems play two kinds of roles: positive thanks to their unique involvement and capacity to deal with the unexpected; and negative with their ability to make errors. But they are also able to detect and correct these mistakes and able to learn from them. Thus human-machine system designer can allow the humans an innovative behavior to be “aware” and to cope with unknown situations by enhancing Situation Awareness (SA). As humans are more and more involved in collective works the constructs of team-SA are important. But the literature shows a great variety and some incoherence in their definitions. That makes difficult to build a design methodology favoring human SA. In parallel, human machine cooperation models have been developed in the last two decades and validated in different dynamic application fields: Air Traffic Control, fighter aircraft cockpit, reconnaissance robot. These studies showed an increase of the problem solving capabilities and a decrease of workload when the tasks are performed by cooperative teams. In this paper we first synthesize main team-SA constructs, we then present principles of humans-machines cooperation and present a Common Work Space as a medium that allow cooperation. We propose to extend it in order to enrich team-SA constructs.
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human machine cooperation a solution for life critical systems
Work-a Journal of Prevention Assessment & Rehabilitation, 2012Co-Authors: Patrick Millot, Guy André BoyAbstract:Decision-making plays an important role in life-critical systems. It entails cognitive functions such as monitoring, as well as Fault Prevention and recovery. Three kinds of objectives are typically considered: safety, efficiency and comfort. People involved in the control and management of such systems provide two kinds of contributions: positive with their unique involvement and capacity to deal with the unexpected; and negative with their ability to make errors. In the negative view, people are the problem and need to be supervised by regulatory systems in the form of operational constraints or by design. In the positive view, people are the solution and lead the game; they are decision-makers. The former view also deals with error resistance, and the latter with error tolerance, which, for example, enables cooperation between people and decision support systems (DSS). In the real life, both views should be considered with respect to appropriate situational factors, such as time constraints and very dangerous environments. This is known as function allocation between people and systems. This paper presents a possibility to reconcile both approaches into a joint human-machine organization, where the main dimensioning factors are safety and complexity. A framework for cooperative and Fault tolerant systems is proposed, and illustrated by an example in Air Traffic Control.
