Abstract
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Article Information:
Research of Amplitude-Frequency Domain Parameters Analysis for Condition Detection and Fault Diagnosis
Xiaoyu Zhou and Dongfang Luo
Corresponding Author: Yu Chen
Submitted: March 12, 2012
Accepted: May 23, 2012
Published: October 01, 2012 |
Abstract:
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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.
Key words: Condition detection, fault diagnosis, frequency domain parameter analysis, rotating machine, time domain parameter analysis, ,
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Abstract
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Cite this Reference:
Xiaoyu Zhou and Dongfang Luo, . Research of Amplitude-Frequency Domain Parameters Analysis for Condition Detection and Fault Diagnosis . Research Journal of Applied Sciences, Engineering and Technology, (19): 3787-3790.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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