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Record Nr. |
UNINA9910403766803321 |
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Titolo |
Reliability and Risk Assessment in Engineering : Proceedings of INCRS 2018 / / edited by Vijay Kumar Gupta, Prabhakar V. Varde, P. K. Kankar, Narendra Joshi |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (XXVI, 532 p. 226 illus., 144 illus. in color.) |
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Collana |
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Lecture Notes in Mechanical Engineering, , 2195-4356 |
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Disciplina |
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Soggetti |
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Quality control |
Reliability |
Industrial safety |
Computer software—Reusability |
Mathematical models |
Manufactures |
Quality Control, Reliability, Safety and Risk |
Performance and Reliability |
Mathematical Modeling and Industrial Mathematics |
Manufacturing, Machines, Tools, Processes |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Section 1: Big Data Analytics and Software Engineering -- Section 2: Data Analytics for Reliability: Applications -- Section 3: Condition Monitoring Techniques and Applications -- Section 4: Health Monitoring and Management using Multi-Sensors -- Section 5: Diagnosis and Prognosis of Mechanical Systems -- Section 6: Design for reliability -- Section 7: Optimization and Machine Learning Techniques for Industrial Applications -- Section 8: Performance/ Failure Analysis of Materials in Service -- Section 9: Reliability Issues in Electrical Distribution Systems. |
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Sommario/riassunto |
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This volume is a collection of articles on reliability and safety engineering presented during INCRS 2018. The articles cover a variety of topics such as big data analytics and their applications in reliability |
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assessment and condition monitoring, health monitoring, management, diagnostics and prognostics of mechanical systems, design for reliability and optimization, and machine learning for industrial applications. A special aspect of this volume is the coverage of performance, failure and reliability issues in electrical distribution systems. This book will be a useful reference for graduate students, researchers and professionals working in the area of reliability assessment, condition monitoring and predictive maintenance. |
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