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Shock and Vibration
Volume 2015 (2015), Article ID 286781, 12 pages
Research Article

Condition Monitoring and Fault Diagnosis for an Antifalling Safety Device

1Chongqing Engineering Laboratory for Detection, Control and Integrated System, Chongqing Technology and Business University, Chongqing 400067, China
2Research Center of System Health Maintenance, Chongqing Technology and Business University, Chongqing 400067, China

Received 7 April 2015; Accepted 26 May 2015

Academic Editor: Chuan Li

Copyright © 2015 Guangxiang Yang and Hua Liang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


There is a constant need for the safe operation and reliability of antifalling safety device (AFSD) of an elevator. This paper reports an experimental study on rotation speed and catching torque monitoring and fault diagnosis of an antifalling safety device in a construction elevator. Denoising the signal using wavelet transform is presented in this paper. Based on the denoising effects for several types of wavelets, the sym8 wavelet basis, which introduces the high order approximation and an adaptive threshold, is employed for denoising the signal. The experimental result shows a maximum data error reduction of 7.5% is obtained and SNRs (signal-to-noise ratio) of rotation speed and catching torque are improved for 3.9% and 6.4%, respectively.