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Methodologies of Using Neural Network and Fuzzy Logic Technologies for Motor Incipient Fault Detection [Hardcover]

By Mo-Yuen Chow (Author)
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Item Number 168137  
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Item description for Methodologies of Using Neural Network and Fuzzy Logic Technologies for Motor Incipient Fault Detection by Mo-Yuen Chow...

Introducing neural-network and fuzzy-logic technologies, this volume describes the advantages and challenges of using these technologies to solve motor fault-detection problems, and discusses several design considerations and methodologies in applying these techniques to motor-incipient fault detection.



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Item Specifications...


Studio: World Scientific Publishing Company
Pages   140
Est. Packaging Dimensions:   Length: 9.1" Width: 6.28" Height: 0.56"
Weight:   0.78 lbs.
Binding  Hardcover
Publisher   World Scientific Publishing Company
ISBN  9810232659  
ISBN13  9789810232658  


Availability  0 units.


More About Mo-Yuen Chow


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Mo-Yuen Chow was born in 1960 and has an academic affiliation as follows - North Carolina State.

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1Books > Subjects > Computers & Internet > Certification Central > General
2Books > Subjects > Computers & Internet > Certification Central
3Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > Computer Mathematics
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5Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > Neural Networks
6Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > Theory of Computing
7Books > Subjects > Computers & Internet > Programming > Algorithms > Fuzzy Logic
8Books > Subjects > Professional & Technical > Engineering > Aerospace > Advanced Mechanics
9Books > Subjects > Professional & Technical > Engineering > Civil > Mechanics
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