Fault Diagnosis of Three-Phase PWM Inverters Using Wavelet and SVM

Dong-Eok Kim; Dong-Choon Lee

Fault Diagnosis of Three-Phase PWM Inverters Using Wavelet and SVM

Dong-Eok Kim

Dong-Choon Lee

Vol. 9, No. 3, pp. 377-385, May 2009

10.6113/JPE.2009.9.3.377

Fault diagnosis

PWM inverters

wavelet transform

Support Vector Machine

PDF

Abstract

In this paper, a diagnosis method for switch open-circuit faults in three-phase PWM inverters is proposed, which employs support vector machine (SVM) as classifying method. At first, a discrete wavelet transform (DWT) is used to detect a discontinuity of currents due to the fault, and then the features for fault diagnosis are extracted. Next, these features are employed as inputs for the SVM training. After training, the SVM produces an optimized boundary which is used identifying the fault. Finally, the fault classification is performed online with instantaneous features. The experimental results have verified the validity of the proposed estimation algorithm.

Statistics

Show / Hide Statistics

Cumulative Counts from September 30th, 2019
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.

Cite this article

[IEEE Style]

D. Kim and D. Lee, "Fault Diagnosis of Three-Phase PWM Inverters Using Wavelet and SVM," Journal of Power Electronics, vol. 9, no. 3, pp. 377-385, 2009. DOI: 10.6113/JPE.2009.9.3.377.

[ACM Style]

Dong-Eok Kim and Dong-Choon Lee. 2009. Fault Diagnosis of Three-Phase PWM Inverters Using Wavelet and SVM. Journal of Power Electronics, 9, 3, (2009), 377-385. DOI: 10.6113/JPE.2009.9.3.377.