NDLI: Mechanical Fault Diagnosis Based on Local Mean Decomposition Method

Content Provider	IEEE Xplore Digital Library
Author	Baojia Chen Xuefeng Chen Zhengjia He Jiyong Tan
Copyright Year	2009
Abstract	With the effect of periodical impulses, most machinery fault vibration signals are muticomponent modulation signals. The effective decomposition approach is the key to demodulate signals and extract fault characteristics. Local mean decomposition (LMD) is a new kind of time-frequency analysis approach, which can decompose the signals adaptively into a set of product function (PF) components. The envelope of PF is the instantaneous amplitude and instantaneous frequency can be calculated by the derivative of the unwrapped phase of modulation signal with uniform amplitude. The method bypasses the Hilbert transform totally. Therefore, it involves no question about negative frequency of no physical meaning. Through the successful mechanical fault diagnosis examples, it shows that LMD has high theoretical value and engineering practicability.
Starting Page	681
Ending Page	684
File Size	279754
Page Count	4
File Format	PDF
ISBN	9780769535838
DOI	10.1109/ICMTMA.2009.373
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-11
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault diagnosis Frequency modulation Phase modulation Modulation signal local mean decomposition Vibration measurement Amplitude modulation Feature extraction Mechanical variables measurement Machinery Signal analysis Demodulation
Content Type	Text
Resource Type	Article

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