Escalator driving chain fault diagnosis method based on vibration characteristic enhancement

Abstract

The invention discloses an escalator driving chain fault diagnosis method based on vibration feature enhancement. The method comprises the following steps: step 1, collecting a vibration signal of a driving chain; 2, enhancing a vibration signal of the drive chain by using a vibration feature enhancement method to obtain an amplified fault feature, and then inputting the amplified fault feature into the fault classification model for discrimination; and step 3, when the judgment result of the fault classification model is that the fault influencing the operation of the driving chain is encountered, performing early warning. According to the method, the amplified fault features are obtained after feature enhancement is conducted on the vibration signals, fault diagnosis can be conducted on the escalator driving chain in time according to the amplified fault features, an escalator can be maintained in time, and the maintenance cost is reduced.

Description

technical field [0001] The invention belongs to an escalator fault detection method in the field of escalators, in particular to an escalator drive chain fault diagnosis method based on enhanced vibration characteristics. Background technique [0002] According to the principles and procedures of elevator risk assessment in GB / T 20900-2007 "Methods for Risk Assessment and Reduction of Elevators, Escalators and Moving Sidewalks", the risk determination of the driving device of the escalator is carried out. The drive sprocket drives the drive chain to run, thereby driving the step sprocket to control the operation of the step chain and the steps, so the drive chain can be considered as the core component of the drive device. [0003] As one of the most common equipment in public places, escalator is closely related to people's travel safety, and most of its safety accidents are caused by fatigue failure and fracture of escalator parts. In the statistics of escalator accidents...

AI Technical Summary

Problems solved by technology

[0004] The present invention aims to solve the above-mentioned problems, and provides a fault diagnosis method for the drive chain of the escalator based on enhanced vibration characteristics for fault analysis of the drive chain in the escalator. During the operation of the escalator, the drive chain will appear sprocket wear, Different fault types, such as chain roller wear, generate different signals. By processing the different fault type signals transmitted by the acceleration sensor, the characteristics of different fault type signals are extracted and the fault type is discriminated through the neural network, so as to reflect the fault information. Give the early warning system a timely warning of the failure of the driving device, so as to prevent accidents in advance and avoid losses

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