Rolling mill equipment state online monitoring and diagnosis system and monitoring and diagnosis method

Abstract

The invention provides a rolling mill equipment state online monitoring and diagnosis system and monitoring and diagnosis method. The rolling mill equipment state online monitoring and diagnosis system comprises a data analysis module, a servo valve difference value analysis module, an electric sensor oscillation analysis module, a rotary part vibration signal analysis module, an information comprehensive processing module, a fault alarming module, a monitoring view module, a channel management module, a standard management module and a fault feedback module. A large amount of encrypted production data files in the system are analyzed, so that the data storage space is greatly saved, and the fault data tracing and the big data-based deep analysis are facilitated; through extraction and analysis of different signal features of a servo valve, an electric sensor and a key rotary part, a rolling mill equipment state can be monitored and diagnosed online multi-dimensionally; and through therolling mill equipment state online monitoring and diagnosis system, the rolling stability and the product quality index control precision are improved.

Description

technical field [0001] The invention relates to an online monitoring and diagnosing system and a monitoring and diagnosing method for rolling mill equipment status, belonging to the field of monitoring systems. Background technique [0002] Rolling mill is the key equipment of metallurgical enterprises, and every year, huge economic losses are caused by sudden major equipment accidents and "overmaintenance". The steel rolling process equipment has a long production line and harsh working environment (high temperature, noise, humidity, dusty, strong electromagnetic field), and the early fault signals of the equipment are hidden in the background of strong noise, which has the characteristics of high nonlinearity and strong coupling, resulting in the failure of the rolling mill The fault mechanism of high-speed rotating parts is complicated, and early fault identification is extremely difficult. How to realize online monitoring and diagnosis of rolling mill equipment status, a...

AI Technical Summary

Problems solved by technology

[0005] However, the above-mentioned patents only involve the monitoring and fault diagnosis of mechanical equipment vibration signals. For the state monitoring and fault diagnosis of equipment electrical signals, especially the online monitoring and diagnosis of rolling mill equipment status, there are almost no related patents.

Images