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2012 (Vol. 4, Issue: 19)
Article Information:

Research of Amplitude-Frequency Domain Parameters Analysis for Condition Detection and Fault Diagnosis

Xiaoyu Zhou and Dongfang Luo
Corresponding Author:  Yu Chen 

Key words:  Condition detection, fault diagnosis, frequency domain parameter analysis, rotating machine, time domain parameter analysis, ,
Vol. 4 , (19): 3787-3790
Submitted Accepted Published
March 12, 2012 May 23, 2012 October 01, 2012
Abstract:

According to incomplete statistic, about 30% of the machinery fault is caused by the rotating component. But, the rotating machinery vibration testing and fault diagnosis has the problems of collecting useful information containing the noise, etc. So, this study adopted the time-frequency analysis technology to realize the rotating machine condition test and fault diagnosis. The actual rotation machinery vibration data after pretreated is used to identify the work conditions of the rotating machinery equipment through analyzing the parameters of the time domain and frequency domain, which accurately judge the rotating machinery equipment fault condition. After finding the fault starting time by using the time domain parameters, the frequency spectrum analysis is used to grasp the fault type by comparing the vibration signal character of the energy frequency spectrum. Through the simulation we can see, time domain parameters can judge the rotating machinery equipment fault occurs time accurately and exactly find the fault type by the frequency spectrum energy.
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  Cite this Reference:
Xiaoyu Zhou and Dongfang Luo, 2012. Research of Amplitude-Frequency Domain Parameters Analysis for Condition Detection and Fault Diagnosis .  Research Journal of Applied Sciences, Engineering and Technology, 4(19): 3787-3790.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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