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Home / Methodologies Of Using Neural Network And Fuzzy Logic Technologies For Motor Incipient Fault Detection
Methodologies Of Using Neural Network And Fuzzy Logic Technologies For Motor Incipient Fault Detection
Hardback

Methodologies Of Using Neural Network And Fuzzy Logic Technologies For Motor Incipient Fault Detection

Mo-yuen Chow (North Carolina State Univ, Usa)
$158.99
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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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MORE INFO
Format
Hardback
Publisher
World Scientific Publishing Co Pte Ltd
Country
Singapore
Date
27 November 1997
Pages
160
ISBN
9789810232658

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.

Read More
Format
Hardback
Publisher
World Scientific Publishing Co Pte Ltd
Country
Singapore
Date
27 November 1997
Pages
160
ISBN
9789810232658

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