Automatic judgment method and system for rolling mill roll system faults based on signal autocorrelation

Abstract

The invention discloses an automatic rolling machine roll system fault judging method and system based on signal autocorrelation. The method comprises the following steps that firstly, a vibration signal, a motor rotation speed signal and roll diameter information of a to-be-monitored rack are collected; secondly, according to the reduction ratio and the roll diameter information of a rolling machine speed reduction box, the speed ratio relationship between rolls and a motor and the rotation speed and the rotation period of the rolls are calculated; thirdly, the vibration signal is treated, a treatment signal is obtained and subjected to time shifting according to the rotation period, and a time shifting signal is obtained; and fourthly, an autocorrelation coefficient between the treatment signal and the time shifting signal is calculated, and whether faults exist in the corresponding rolls or not is judged according to the autocorrelation coefficient and the reference correlation value. By means of the automatic rolling machine roll system fault judging method and system based on signal autocorrelation, automatic rolling machine roll system fault judgment is achieved, corresponding rack numbers and roll types can be determined, and dependency on the personal experience and the skill level during manual diagnosis is eliminated.

Description

technical field [0001] The invention relates to a rolling mill roll system fault diagnosis system and method, more specifically, to a rolling mill roll system fault automatic judgment method and system based on signal autocorrelation. Background technique [0002] Rolling mill vibration is one of the common problems in the rolling process, which brings serious problems to production. The most prominent manifestation is the vibration pattern on the surface of the strip steel caused by the vibration of the rolling mill. Accidents such as broken belts have serious adverse effects on the continuity of production and other aspects. [0003] The failure of the roll system of the rolling mill is one of the main reasons for the abnormal vibration of the rolling mill. Therefore, when the on-site personnel find the vibration of the rolling mill (most of the time the vibration is already severe), the main solution is to change the roll. Due to the lack of an effective monitoring and d...

AI Technical Summary

Problems solved by technology

By observing and analyzing the monitored vibration signals, the faulty roll system can usually be found out, but it still mainly relies on the manual observation and analysis of the vibration signal by the operator, and there is still a lack of an automatic judgment of the roll system failure. method

[0005] Chinese patent CN103115668A discloses "Fault Feature Extraction Method and Identification Method of Rolling Mill Vibration Mark Vibration Signal", which is a demodulation method based on second-order cyclic autocorrelation function, which performs frequency demodulation and time Domain slicing improves the accuracy of fault feature extraction of vibration marks and vibration signals, and proposes to use the form of power spectrum information entropy for alarm judgment, but the patent does not propose a specific fault identification method, and it is impossible to accurately diagnose the roll system. Fault

[0006] Chinese patent CN201179527Y discloses a monitoring and early warning device for strip steel vibration marks in continuous rolling mills. By collecting and processing signals such as rolling mill vibration, speed, roll diameter, and coil information, the early warning of vibration marks is realized. However, the patent does not include Propose the Method of Using Vibration Signal in Fault Diagnosis of Rolling Mill

[0007] Chinese patent CN200710176052.4 proposes an expert system suitable for vibration fault diagnosis of rotating machinery, but does not provide a specific diagnosis method for vibration signals on rotating machinery faults

[0008] To sum up, there is currently no automatic judgment method for rolling mill roll failures. The judgment of rolling mill failures is mainly carried out through manual observation. The judgment results usually depend on personal experience and technical level, and it is usually difficult Therefore, it is necessary to develop an automatic judgment method that can realize the roll system failure of the rolling mill. It can not only give an alarm prompt for the roll system failure in time, but also give the faulty frame number and roll type. information

Images