Failure prediction model establishing method and system as well as fan monitoring pre-warning system and method

Abstract

The invention discloses an establishing method of a failure type prediction model. The establishing method comprises the following steps of: collecting a vibration signal of a fan, and meanwhile, collecting the audio signal of the fan; pretreating the vibration signal and carrying out feature extraction on the vibration signal after pretreating so as to obtain a vibration characteristic parameter, and pretreating the audio signal and carrying out feature extraction on the audio signal after pretreating so as to obtain an audio characteristic parameter; and substituting the vibration characteristic parameter to a failure type vibration template so as to obtain a failure type corresponding to the vibration characteristic parameter, and associating the audio characteristic parameter with the failure type so as to establish a failure type audio template. The invention also discloses an establishing system of the failure type prediction model and an establishing method and system of a malfunction probability prediction model as well as a fan monitoring pre-warning system and method. The fan monitoring early-warning system and method provided by the invention have the advantages that the sensitivity is high, and the failure monitoring is more exact.

Description

technical field [0001] The invention relates to a method and system for establishing a fault prediction model, a fan monitoring and early warning system and method, and in particular to a method and system for establishing a fault prediction model with audio signals as an auxiliary vibration signal, and a fan monitoring and early warning system and method. Background technique [0002] Owners of wind farms are increasingly feeling the pressure to reduce operating costs; especially in today's times. To achieve reductions in operating costs, maintenance and repair service personnel must be used more efficiently. When wind turbines require repair and maintenance, maintenance crews are hired, large cranes are rented, and replacement parts are procured. By using a fault diagnosis system, the owner of a wind farm can consolidate multiple repairs in order to reduce costs; for example, one wind turbine has been shut down due ”) have signaled that some components are about to fail;...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to overcome the defects of relatively single monitoring method for fan faults in the prior art, insufficient sensitivity of monitoring results, and low accuracy of fault early warning, and provide a more sensitive, more accurate fault monitoring, and prediction Method and system for establishing fault prediction model with more accurate data, fan monitoring and early warning system and method

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