Paper
31 December 2010 Instrument for bearing fault diagnosis based on demodulated resonance technology
Yi Lu, Xiao-feng Hu, Yong-jun Zheng
Author Affiliations +
Proceedings Volume 7544, Sixth International Symposium on Precision Engineering Measurements and Instrumentation; 75445E (2010) https://doi.org/10.1117/12.885315
Event: Sixth International Symposium on Precision Engineering Measurements and Instrumentation, 2010, Hangzhou, China
Abstract
Rolling bearing is a very important comment for mechanical system. The traditional measurement method is using time domain analysis and frequency domain analysis with mechanical vibration theory. However, these methods are very difficult to precisely diagnose the rolling bearing fault. Demodulated resonance technology is an effective method to diagnose bearing fault. In this paper, the realization of demodulated resonance technology is described in detail. It includes three important aspects: design of filter, envelope demodulation and spectrum zooming. Hilbert transform is an effective solution to envelope demodulation. Based on this theory, the PC controlled experimental device for fault diagnosis was built up. The ball bearing of type 6201 was measured on the experimental device, and the applications software was programmed by VC++, which had the functions of real-time monitoring, spectral analysis (FFT), digital filtering and zoom-FFT etc. So this system can get fault characteristic from the vibration speed signal with big noise and automatically identify the type of fault. The types included the fault of inner ring, outer ring and rolling element. Results showed that it has a remarkable effect on bearing fault diagnosis, and it had many advantages such as high precision, high degree of automatic measurement.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yi Lu, Xiao-feng Hu, and Yong-jun Zheng "Instrument for bearing fault diagnosis based on demodulated resonance technology", Proc. SPIE 7544, Sixth International Symposium on Precision Engineering Measurements and Instrumentation, 75445E (31 December 2010); https://doi.org/10.1117/12.885315
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KEYWORDS
Demodulation

Diagnostics

Sensors

Data acquisition

Spectrum analysis

Digital filtering

Signal analyzers

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