Time-Frequency Analysis System of Rolling Element Bearing Based on Virtual Instrument

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Abstract:

Rolling element bearing (REB) is one of important components in the condition monitoring and faults diagnosis of machinery. In this paper, a REB fault diagnosis system is presented, which is developed by using LabVIEW. In the system, vibration signals are picked by acceleration sensors and acquired by NI USB data acquisition card at first. Then, the fault diagnosis can be performed in the time-frequency domain by various time-frequency methods. The experiments show that the presented system can be used to extract the bearing fault features and diagnoses the failures effectively.

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844-847

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January 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Gang Chen, Shisha Zhu and Qixin Wang. Technology Application and Development of Rolling Bearing Fault Diagnosis (In Chinese). Mechanical 2005, (32).

Google Scholar

[2] Zejiu Liu, Shiquan He and Xinglin Li. Rolling Bearing Applications Manual (In Chinese), Beijing: Machinery Industry Press, (2006).

Google Scholar

[3] Shizhu Wen and Ming Li. The Development Strategy Research of Mechanics (In Chinese). Beijing: Tsinghua University Press, (2003).

Google Scholar

[4] Zhongrong Zhou, Yuanzhong Lei and Siwei Zhang, Tribology Development Forefront (In Chinese). Beijing: Science Press, (2006).

Google Scholar

[5] Zhaoshun Sheng and Qiling Yin. Equipment Condition Monitoring and Fault Diagnosis Technology and Application (In Chinese). Chemical Industry Press, 2003. 5.

Google Scholar

[6] Yumei Ding, Yonghong Kuo and Xinbo Gao. Digital Signal Processing (In Chinese). (2002).

Google Scholar

[7] Benjamin Luke Grisso. Considerations of the Impedance Method, Wave Propagation, and Wireless Systems for Structural Health Monitoring. Master of Science In Mechanical Engineering. Blacksburg Virginia. August 31, (2004).

Google Scholar