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Electric Machines by Homayoun Meshgin-Kelk, Seungdeog Choi, Subhasis Nandi, Hamid A. Toliyat

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9

Implementation of Motor Current Signature Analysis Fault Diagnosis Based on Digital Signal Processors

Seungdeog Choi Ph.D.

Toshiba International

Bilal Akin Ph.D.

Texas Instruments, Inc.

9.1 Introduction

Within the last decade many studies have been conducted to detect electric machine faults prior to possible catastrophic failure [19]. One of the most popular methods for fault diagnosis is motor current signature analysis (MCSA) as it is more practical and less costly. Thanks to recent digital signal processor (DSP) technology developments, motor fault diagnosis can now be done in real-time based on the stator line current [1017] allowing precise and low-cost motor fault detection. Beyond this, once simple and efficient fault detection ...

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