Condition Monitoring and Fault Diagnosis for an Antifalling Safety Device

Abstract EN

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.