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weihua l intelligent fault diagnosis health assessment systems 2023

Type:: E-books
Files:: 1
Size:: 24.6 MB
Uploaded On:: April 16, 2024, 1:55 p.m.
Added By:: andryold1
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Leechers:: 2
Info Hash:: 877D480DB5752F84FB280B13922D1919E2BE7810

Textbook in PDF format Based on AI and machine learning, this book systematically presents the theories and methods for complex electro-mechanical system fault prognosis, intelligent diagnosis, and health state assessment in modern industry. The book emphasizes feature extraction, incipient fault prediction, fault classification, and degradation assessment, which are based on supervised-, semi-supervised-, manifold-, and deep learning; machinery degradation state tracking and prognosis by phase space reconstruction; and complex electro-mechanical system reliability assessment and health maintenance based on running state info. These theories and methods are integrated with practical industrial applications, which can help the readers get into the field more smoothly and provide an important reference for their study, research, and engineering practice. Preface Introduction Supervised SVM Based Intelligent Fault Diagnosis Methods Semi-supervised Learning Based Intelligent Fault Diagnosis Methods Manifold Learning Based Intelligent Fault Diagnosis and Prognosis Deep Learning Based Machinery Fault Diagnosis Phase Space Reconstruction Based on Machinery System Degradation Tracking and Fault Prognostics Complex Electro-Mechanical System Operational Reliability Assessment and Health Maintenance

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Weihua L. Intelligent Fault Diagnosis and Health Assessment...Systems 2023.pdf 24.6 MB

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weihua l intelligent fault diagnosis health assessment systems 2023

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