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Synopsis
The work presented in this book was supported by Jiangsu University of Science and Technology. As critical components in electrical control systems, electromagnetic relays are particularly vulnerable to contact degradation and failure, which may ultimately lead to system-level malfunctions. Accordingly, reliability assessment based on Remaining Useful Life (RUL) prediction has become an important research topic. However, relay degradation is inherently governed by coupled multi-physical processes and is characterized by highly nonlinear and uncertain failure mechanisms. In addition, the high cost and long duration of life testing severely limit the availability of complete degradation datasets, giving rise to a typical small-sample problem. Furthermore, conventional data-driven methods generally assume parameter independence or linear relationships and fail to capture latent, time-varying nonlinear dependencies, thereby restricting prediction accuracy and robustness.
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Small-Sample Reliability Assessment of Electromagnetic Relays
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Small-Sample Reliability Assessment of Electromagnetic Relays
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Small-Sample Reliability Assessment of Electromagnetic Relays
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Scholars' Press Aug 2026, 2026
ISBN 10: 6630263529
ISBN 13: 9786630263527
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 212 pp. Englisch. Seller Inventory # 9786630263527
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Small-Sample Reliability Assessment of Electromagnetic Relays : Storage Reliability Analysis and Lifetime Prediction of Electromagnetic Relays Under Small-Sample Conditions
Print on DemandSeller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The work presented in this book was supported by Jiangsu University of Science and Technology. As critical components in electrical control systems, electromagnetic relays are particularly vulnerable to contact degradation and failure, which may ultimately lead to system-level malfunctions. Accordingly, reliability assessment based on Remaining Useful Life (RUL) prediction has become an important research topic. However, relay degradation is inherently governed by coupled multi-physical processes and is characterized by highly nonlinear and uncertain failure mechanisms. In addition, the high cost and long duration of life testing severely limit the availability of complete degradation datasets, giving rise to a typical small-sample problem. Furthermore, conventional data-driven methods generally assume parameter independence or linear relationships and fail to capture latent, time-varying nonlinear dependencies, thereby restricting prediction accuracy and robustness. Seller Inventory # 9786630263527
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Small-Sample Reliability Assessment of Electromagnetic Relays | Storage Reliability Analysis and Lifetime Prediction of Electromagnetic Relays Under Small-Sample Conditions
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Taschenbuch. Condition: Neu. Small-Sample Reliability Assessment of Electromagnetic Relays | Storage Reliability Analysis and Lifetime Prediction of Electromagnetic Relays Under Small-Sample Conditions | Zhaobin Wang | Taschenbuch | Englisch | 2026 | Scholars' Press | EAN 9786630263527 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 136790969
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Small-Sample Reliability Assessment of Electromagnetic Relays
Published by
Scholars' Press Aug 2026, 2026
ISBN 10: 6630263529
ISBN 13: 9786630263527
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Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The work presented in this book was supported by Jiangsu University of Science and Technology. As critical components in electrical control systems, electromagnetic relays are particularly vulnerable to contact degradation and failure, which may ultimately lead to system-level malfunctions. Accordingly, reliability assessment based on Remaining Useful Life (RUL) prediction has become an important research topic. However, relay degradation is inherently governed by coupled multi-physical processes and is characterized by highly nonlinear and uncertain failure mechanisms. In addition, the high cost and long duration of life testing severely limit the availability of complete degradation datasets, giving rise to a typical small-sample problem. Furthermore, conventional data-driven methods generally assume parameter independence or linear relationships and fail to capture latent, time-varying nonlinear dependencies, thereby restricting prediction accuracy and robustness. 212 pp. Englisch. Seller Inventory # 9786630263527