Fault Diagnosis for Rack Vibration of Brush Roll in Washing Section of Galvanization Unit in Cold Rolling Plant by Means of HP35670A Dynamic Signal Analyzer

Ke Gang Zhu; Zhao Gang Zhang; Bao Quan Liu; Shu Juan Meng; Ren Sheng Wang

doi:10.4028/www.scientific.net/AMR.588-589.1014

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 588-589Fault Diagnosis for Rack Vibration of Brush Roll...

Fault Diagnosis for Rack Vibration of Brush Roll in Washing Section of Galvanization Unit in Cold Rolling Plant by Means of HP35670A Dynamic Signal Analyzer

Abstract:

The paper determines the real-time location of and the real-time reasons for equipment failures on the premise of the integration of equipment, through the online detection and the real-time analysis of the vibration abnormities and faults in the driving side as well as the service side of rack of brush roll in the washing groove that lies in washing section 2# of the galvanization unit in a plant, by employing the HP35670A dynamic signal analyzer.

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Periodical:

Advanced Materials Research (Volumes 588-589)

Pages:

1014-1018

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.588-589.1014

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Online since:

November 2012

Authors:

Ke Gang Zhu, Zhao Gang Zhang, Bao Quan Liu, Shu Juan Meng, Ren Sheng Wang

Keywords:

Cold Rolling Plant, Fault Diagnosis, Vibration of Brush Roll

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References

[1] J. Zhang: A Self-learning Fault-diagnosis system. Trans Instt MC, 13(1), 29—35(1991).

Google Scholar

[2] Changwei Zhu, Huifang Xue: Dynamic Feature Simulation of Universal Coupling. Journal of Mechanical Transmission, (7), 126—127 (2011).

Google Scholar

[3] Cornelius Scheffer, Paresh Girdhar: Practical Machinery Vibration Analysis & Predictive Maintenance. China Culture & Education Press, 78—138 (2006).

Google Scholar

[4] D.J. LEWIS, Machine Condition Monitoring Evaluation: IMechE, 19—35 (1984).

Google Scholar

[5] Hang Cheng, Lansong Du: Fault Diagnosis Using Axle Center Trail in Revolving Machinery. Journal of Tai Yuan University of Technology, 34(5), 553—554 (2003).

Google Scholar

[6] Qingyin Shen, Shuiying zheng: Equipment Fault Detection. Chemical Industry Press, 82—90, 125—133 (2005).

Google Scholar