Mechanical device fault diagnosis method

Abstract

The invention discloses a mechanical device fault diagnosis method comprising firstly extracting a mechanical device fault feature included in a sensor acquisition signal by using a signal analysis method, and forming a fault feature vector; then offline training a fault diagnosis classifier by using the fault feature vector, wherein the fault diagnosis classifier is a combined classifier which uses an Adaboost boosting algorithm as a combination method; and finally diagnosing the fault of the mechanical device in real time by using the trained fault diagnosis classifier. The method diagnosesthe faults of the components of the mechanical device by using the combined classification method, can be used for online real-time fault diagnosis, timely discovers mechanical device faults, avoids major accidents, and significantly improves the accuracy of fault diagnosis compared with other fault diagnosis methods.

Description

technical field [0001] The invention belongs to the technical application field of intelligent systems, and in particular relates to a fault diagnosis method for mechanical equipment. Background technique [0002] Due to the development and application of intelligent systems, mechanical equipment tends to be complex and multi-functional, making daily maintenance increasingly difficult. The system contains more and more intelligent automation equipment, its structure is complex, the space span is large, it involves multiple subsystems, and the interaction of each link is intricate, and the abnormality or failure of any link may lead to overall production efficiency and reliability. Therefore, it is becoming more and more important for equipment monitoring and fault diagnosis. In recent years, databases and data collection have been widely used in production and manufacturing, equipment condition monitoring systems have emerged, and enterprises have accumulated a large amount...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the technical problems raised by the above-mentioned background technology, the present invention aims to provide a method for fault diagnosis of mechanical equipment, which can make up for the shortcomings of existing fault diagnosis technologies such as poor versatility and low precision.

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