Fault pre-diagnosis and health management method of mechanical and electrical device and system

Abstract

The invention provides a fault pre-diagnosis and health management method of a mechanical and electrical device and a system. The method comprises steps of data acquisition: acquiring data information of the mechanical and electrical device; self-diagnosis: carrying out feature extraction and model establishment on historical data information of a certain mechanical and electrical device under different operation modes and health states, and using the currently established model to compare the acquired data information with the historical data information under the current state and automatically identifying the current health state of the mechanical and electrical device; health state prediction: predicting the change of future health states of the mechanical and electrical device according to the acquired current health state after the self-diagnosis and the historical health state of the mechanical and electrical device; and clustering analysis: carrying out clustering and analysis comparison on the data information of multiple mechanical and electrical devices in a mechanical and electrical device cluster according to the current health state of the single mechanical and electrical device so as to obtain health state grades and risk distribution of multiple mechanical and electrical devices.

Description

technical field [0001] The invention relates to the field of equipment failure prediction and health management, and in particular to a method and system for failure prediction and health management of electromechanical equipment. Background technique [0002] With the rapid development of China's social economy, the performance of various electromechanical equipment has been continuously improved, and it has been developing in the direction of high speed, heavy load, and intelligence. The complexity of system composition has also increased, making the reliability and maintainability of electromechanical equipment and other issues have become increasingly prominent. At present, the maintenance of electromechanical equipment mostly stays in the stage of off-line regular maintenance. This method has poor real-time performance and low maintenance efficiency, which will cause the disadvantages of insufficient maintenance and excessive maintenance. Relevant units at home and abr...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the problem that the existing electromechanical equipment cannot monitor and predict the health status of multiple equipment under multiple working conditions, the present invention provides a method and system for fault pre-diagnosis and health management of electromechanical equipment applicable to multiple equipment and multiple working conditions

Images