A method and system for online identification of wear state of a friction system

Abstract

An online identification method for the wear state of a friction system. Firstly, the friction coefficient signal is collected by a sensor; secondly, the friction coefficient signal is subjected to noise reduction processing, and its characterization parameter-correlation dimension value is calculated; and then compared with the prediction value of the friction system database correlation dimension , to determine the wear state of the friction system. The invention provides an online identification method and system for the wear state of the friction system, which can monitor and identify the wear state of the friction system on-line in real time, effectively distinguish the dynamic characteristics of the friction system, and prevent sudden failures of the mechanical system; not only the identification accuracy is high and reliable It also avoids the loss of many system characteristic information caused by the simple analysis of the time evolution of the univariate friction coefficient signal.

Description

technical field [0001] The invention relates to the field of friction and wear and wear state recognition, in particular to an online recognition method and system for the wear state of a friction system. Background technique [0002] In engineering applications, it is always hoped to shorten the running-in time of mechanical friction pairs, prolong the time of stable wear state, know the failure node of equipment in advance, replace parts or repair equipment in time, so as to reduce equipment loss and improve economic benefits. Therefore, it is particularly important to monitor and grasp the wear status of mechanical equipment. [0003] At present, engineers mainly rely on long-term work experience to judge and monitor the operation status of mechanical equipment, which requires very high work quality of workers. Usually, the wear state is judged through vibration signals or noise signals. When the friction system suddenly vibrates or harsh howling sounds, workers will be ...

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Problems solved by technology

[0004] In order to overcome the defects in the prior art, the present invention provides an online identification method and system for the wear state of the friction system, which solves the problem that the wear state of the friction system cannot be identified and predicted online in real time, and can monitor and identify the wear state of the friction system online in real time. Effectively identify the dynamic characteristics of the friction system and prevent sudden failures of the mechanical system; not only has high identification accuracy and reliability, but also avoids the loss of many system characteristic information caused by simple analysis of the time evolution of the single-variable friction coefficient signal

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