Phase-compensation-based dynamic time warping for fault diagnosis using the motor current signal

D. Zhen, H. L. Zhao, F. Gu, A. D. Ball

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Dynamic time warping (DTW) is a time-domain-based method and widely used in various similar recognition and data mining applications. This paper presents a phase-compensation-based DTW to process the motor current signals for detecting and quantifying various faults in a two-stage reciprocating compressor under different operating conditions. DTW is an effective method to align two signals for dissimilarity analysis. However, it has drawbacks such as singularities and high computational demands that limit its application in processing motor current signals for obtaining modulation characteristics accurately in diagnosing compressor faults. Therefore, a phase compensation approach is developed to reduce the singularity effect and a sliding window is designed to improve computing efficiency. Based on the proposed method, the motor current signals measured from the compressor induced with different common faults are analysed for fault diagnosis. Results show that residual signal analysis using the phase-compensation-based DTW allows the fault-related sideband features to be resolved more accurately for obtaining reliable fault detection and diagnosis. It provides an effective and easy approach to the analysis of motor current signals for better diagnosis in the time domain in comparison with conventional Fourier-transform-based methods.

LanguageEnglish
Article number055601
JournalMeasurement Science and Technology
Volume23
Issue number5
DOIs
Publication statusPublished - May 2012

Fingerprint

Dynamic Time Warping
Fault Diagnosis
Failure analysis
Compressor
Fault
compressors
Compressors
Time Domain
Reciprocating compressors
Singularity
Signal analysis
Residual Analysis
Fault Detection and Diagnosis
Fault detection
Signal Analysis
Sliding Window
Data mining
Dissimilarity
Fourier transforms
fault detection

Cite this

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abstract = "Dynamic time warping (DTW) is a time-domain-based method and widely used in various similar recognition and data mining applications. This paper presents a phase-compensation-based DTW to process the motor current signals for detecting and quantifying various faults in a two-stage reciprocating compressor under different operating conditions. DTW is an effective method to align two signals for dissimilarity analysis. However, it has drawbacks such as singularities and high computational demands that limit its application in processing motor current signals for obtaining modulation characteristics accurately in diagnosing compressor faults. Therefore, a phase compensation approach is developed to reduce the singularity effect and a sliding window is designed to improve computing efficiency. Based on the proposed method, the motor current signals measured from the compressor induced with different common faults are analysed for fault diagnosis. Results show that residual signal analysis using the phase-compensation-based DTW allows the fault-related sideband features to be resolved more accurately for obtaining reliable fault detection and diagnosis. It provides an effective and easy approach to the analysis of motor current signals for better diagnosis in the time domain in comparison with conventional Fourier-transform-based methods.",
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Phase-compensation-based dynamic time warping for fault diagnosis using the motor current signal. / Zhen, D.; Zhao, H. L.; Gu, F.; Ball, A. D.

In: Measurement Science and Technology, Vol. 23, No. 5, 055601, 05.2012.

Research output: Contribution to journalArticle

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