Condition monitoring of elevators based on vibration analysis
                                                          XU Jinhai1, XU Lei1, WANG Hong1, ZHENG Bo1, TANG Bo2
(1.Hangzhou Special Equipment Inspection Institute, Hangzhou 310003, China; 2.College of Metrology and Measurement Engineering, China Jiliang University, Hangzhou 310018, China)

Abstract: Aiming at the problems of nonstationary, random and unstable vibration signal in the operation of elevator system, the vibration characteristics of elevator & escalator mechanical components were carried out under the different conditions, by means of multiparameter vibration feature quantities of the peak value in amplitude domain, frequency value and power spectral density in frequency domain, energy distribution property in timefrequency domain. The vibration monitoring system and operating principle of elevator & escalator mechanical components were analyzed. On this basis, the extraction methods of vibration characteristic quantities were described, and the wavelet packet analysis and empirical mode decomposition method were emphasized. By means of the above methods, the vibration signals were measured and the feature quantities were extracted in the normal and abnormal sound conditions for the gear reducer box of elevator tractor. The experimental results indicate that the method of the multiparameter feature fusion is feasible, and this work can provide the core technology for safety hazard identification and fault diagnosis of elevator & escalator mechanical components.

Key words: elevators; gear reducer box; vibration feature quantity; multiple parameter; condition monitoring