NDLI: Working condition recognition of screw compressor using wavelets theory

Content Provider	IEEE Xplore Digital Library
Author	Qunfeng Niu Li Wang
Copyright Year	2008
Description	Author affiliation: Sch. of Electr. Eng., Henan Univ. of Technol., Zhengzhou (Qunfeng Niu; Li Wang)
Abstract	A novel working condition recognition system of screw compressor using wavelets for engineering application is proposed. According to tested rotor and valve vibration signal energy changing characteristic under different working condition of the compressor, the fault position and fault reason can be obtained clearly. The paper firstly obtained rotor vibration signal power distribution on different frequency bands using wavelet packet transform and frequency bands divided power method of vibration signal. According to different wavelet power distribution on each band, the fault position of screw compressors can be obtained. Then, scale-wavelet power spectrum of valve flake vibration signal was got with continuous wavelet transform. According to different wavelet power distribution on scales, condition of valve flake angle can be found. The method builds different parts of screw compressor inherent relation. The experimental results show that the method of using wavelet transform and extracting each frequency-band power and scale-wavelet power spectrum as feature vectors can depict vibration signal changing rules along with working condition of compressor changing correctly. The methods provide a new effective tool for screw compressor conditions monitoring and fault diagnosis.
Starting Page	3643
Ending Page	3647
File Size	208377
Page Count	5
File Format	PDF
ISBN	9781424421138
DOI	10.1109/WCICA.2008.4593506
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Valves Vibrations Rotors Frequency conversion Wavelet transforms Fasteners Wavelet packets condition recognition Screw compressor vibration signal wavelets valve flake angle
Content Type	Text
Resource Type	Article

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