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Computational Intelligence in Fault Diagnosis / edited by Vasile Palade, Cosmin Danut Bocaniala
(Advanced Information and Knowledge Processing. ISSN:21978441)

データ種別	電子ブック
版	1st ed. 2006.
出版者	(London : Springer London : Imprint: Springer)
出版年	2006
大きさ	XVIII, 362 p : online resource
著者標目	Palade, Vasile editor Bocaniala, Cosmin Danut editor SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0001537	Computer Scinece R0 2005-6,2022-3				9781846286315

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一般注記	Computational Intelligence Methodologies in Fault Diagnosis: Review and State of the Art -- A Fuzzy Logic Approach to Gas Path Diagnostics in Aero-engines -- Fault Detection and Isolation of Industrial Processes Using Optimized Fuzzy Models -- A Fuzzy Classification Technique Applied to Fault Diagnosis -- Fuzzy-Statistical Reasoning in Fault Diagnosis -- Artificial Neural Networks in Fault Diagnosis: A Gas Turbine Scenario -- Two-Stage Neural Networks Based Classifier System for Fault Diagnosis -- Soft Computing Models for Fault Diagnosis of Conductive Flow Systems -- Fault Diagnosis in a Power Generation Plant Using a Neural Fuzzy System with Rule Extraction -- Fuzzy Neural Networks Applied to Fault Diagnosis -- Causal Models for Distributed Fault Diagnosis of Complex Systems Presenting the latest developments and research results on fault diagnosis approaches using computational intelligence methodologies, this book opens with a review of the state-of-the-art before moving on to focus on various theoretical aspects of computational intelligence methodologies applied to real-world fault diagnosis problems. Chapters deal with topics such as fuzzy sets applications to fault diagnosis, neural network based fault diagnosis applications and neuro-fuzzy techniques for fault diagnosis. The last chapter considers the problem of diagnosing large scale complex systems using local agents which, in particular, can be implemented using computational intelligence based fault diagnosis techniques. Several case studies are used including applying computational intelligence techniques to aero-engines fault diagnosis and diagnosing faults to various industrial devices, such as a flow control valve and a hydraulic installation in a rolling mill plant. Computational Intelligence in Fault Diagnosis presents the most recent concerns and research results in industrial fault diagnosis using intelligent techniques, and will be of interest to application engineers/technologists, graduates and researchers wishing to apply these techniques, enhance their knowledge, as well as build up a foundation for further study HTTP:URL=https://doi.org/10.1007/978-1-84628-631-5
件　名	LCSH:Computer vision LCSH:Computer science LCSH:Logic design LCSH:Artificial intelligence LCSH:Computer simulation LCSH:Computers FREE:Computer Vision FREE:Theory of Computation FREE:Logic Design FREE:Artificial Intelligence FREE:Computer Modelling FREE:Hardware Performance and Reliability
分　類	LCC:TA1634 DC23:006.37
書誌ID	EB00000925
ISBN	9781846286315