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Intelligent Fault Diagnosis and Health Assessment for...

Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems

Weihua Li, Xiaoli Zhang, Ruqiang Yan
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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.
ক্যাটাগোরিগুলো:
সাল:
2023
প্রকাশক:
Springer
ভাষা:
english
পৃষ্ঠা:
768
ISBN 10:
9819935369
ISBN 13:
9789819935369
ফাইল:
PDF, 24.62 MB
IPFS:
CID , CID Blake2b
english, 2023
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Beware of he who would deny you access to information, for in his heart he dreams himself your master

Pravin Lal

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