JOURNAL ARTICLE

Acoustic Emission Signal Feature Extraction in Rotor Crack Fault Diagnosis

Kuanfang HeJigang WuGuangbin Wang

Year: 2012 Journal:   Journal of Computers Vol: 7 (9)   Publisher: Academy Publisher

Abstract

On the rotor comprehensive fault simulation test-bed, characteristics of acoustic emission signal of different crack rotors in various depth and conditions are analyzed by the acoustic emission extraction experiment. The noise-eliminating method of the acoustic emission signal was researched by the wavelet packet technique, the characteristics of acoustic emission signal of the rotor crack was also obtained for fault diagnosis in this paper. The advantages of acoustic emission technique have been highlighted in the early period crack fault diagnosis compared to the vibration method of crack fault diagnosis. The diagnosis results were shown to be quite clear, reliable and accurate.

Keywords:
Acoustic emission Rotor (electric) SIGNAL (programming language) Fault (geology) Feature extraction Extraction (chemistry) Computer science Acoustics Feature (linguistics) Materials science Pattern recognition (psychology) Composite material Artificial intelligence Geology Chemistry Physics Seismology Engineering Mechanical engineering Chromatography

Metrics

9
Cited By
1.66
FWCI (Field Weighted Citation Impact)
9
Refs
0.88
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Sensor and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Industrial Technology and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Structural Health Monitoring Techniques
Physical Sciences →  Engineering →  Civil and Structural Engineering
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