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Model-Based Fault Diagnosis

Methods for State-Space Systems

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  • 216 pages
  • 8 hours of reading

More about the book

Focusing on model-based fault diagnosis methods, this book covers techniques such as observer-based residual generation, threshold evaluation, and Kalman filter approaches. It appeals to a diverse audience, including engineering students and researchers, by establishing a comprehensive framework and emphasizing the state-space approach. The methods presented are systematic and accessible, making it a valuable resource for those interested in fault diagnosis, fault-tolerant control, and the design of safety-critical systems across various engineering disciplines.

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Model-Based Fault Diagnosis, Zhenhua Wang, Yi Shen

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Released
2022
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(Hardcover)
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