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CSME 2018/02
Volume 39 No.1
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43-52
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Fault Detection and Isolation for Paper Machinery by Vibration Monitoring Method
Chin-Huang Suna, Wei-Yu Chenb and Chih-Ming Chenb
aDepartment of Mechanical Engineering, Fuzhou Polytechnic, Fuzhou, Fujian 350108, China.
bDepartment of Mechanical Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan, R.O.C.
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Abstract:
Fault detection and isolation are important for preventing paper machinery from unexpected break down during a production process. This study applied vibration monitoring technology to detect and isolate abnormal vibration occurred in paper machinery. The study made use of vibration analyzer to log overall vibration level trend of the objected machinery for a long period. This vibration spectrum was able to conduct vibration spectrum analysis to investigate whether it incurs an abnormal vibration for engineers. In this study, a case study was shown and examined for paper machinery. The study classified the correspondence of vibration spectrum with rolling element bearing and gear. This investigation was performed in a real workshop for a period of time to understand possible situations occurred in paper machinery. It showed that each vibration spectrum represented a unique problem occurred in the objected machinery. The analysis detailed the possible factors detected in the paper machinery. The obtained results can provide engineers to locate the causes of machine’s breakdown to reduce economic loss for paper manufacturers.
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Keywords: Fault detection and isolation, Vibration spectrum analysis, Rolling element bearing, Paper machinery.
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*Corresponding author; e-mail:
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©
2018
CSME , ISSN 0257-9731
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