On-line monitoring and fault diagnosis method of motor based on "correct tree" model

Abstract

The invention discloses an on-line monitoring and fault diagnosis method of a motor based on a "correct tree" model. The on-line monitoring and fault diagnosis method of the motor based on the "correct tree" model comprises the sequential steps of data acquisition, data transmission, establishment of a motor internal model, establishment of the "correct tree" model, motor state learning and faultdiagnosis. The on-line monitoring and fault diagnosis method of the motor based on the "correct tree" model has the advantages that voltage data and current data of the motor are collected online in real time, an operation mode of the motor is learned independently by adopting a machine learning algorithm, after the "correct tree" model of the motor under normal operation conditions is established, an actual operation condition of the motor is compared with the "correct tree" model, so that mechanical faults and electrical faults of the motor are timely found in early stages of the faults andalarm is carried out, the unplanned outage of equipment is reduced, and the productivity is improved; and accurate fault diagnosis and maintenance decision-making information are offered with a low cost, requirements of technical levels of users are not high, the application scope is broader than a vibration and current characteristic analysis system commonly used in motor fault diagnosis, and themethod can be applied to monitoring of motors and electric generators.

Description

technical field [0001] The invention relates to a motor online monitoring and fault diagnosis method based on a "correct tree" model. Background technique [0002] With the development of modern industry and the continuous integration of "informatization" and "industrialization", whether industrial equipment can operate safely and reliably in the best state is very important for ensuring product quality, improving production capacity, and ensuring production safety. meaning. The failure of manufacturing equipment refers to the condition that the equipment loses the specified function within the specified time and under the specified conditions. Usually, this failure is caused by the failure of a certain component. With the complex structure of modern equipment, its influence and role in industrial production are also increasing. Downtime or failure of equipment will bring serious losses. [0003] The motor is the driving device of various equipment such as fans, pumps, co...

AI Technical Summary

Problems solved by technology

However, in practice, the modeling process is complicated, the model is not easy to understand, and often has complex behavioral relationships that cannot be clearly modeled; fault diagnosis based on signal processing includes multiple types of signals such as temperature, current and voltage, vibration, and ultrasonic waves. Tools include mathematical methods such as wavelet transform to extract fault features, and compare the extracted features with normal motors to find out the cause of the fault

These methods require high professional knowledge and experience of maintenance personnel, and they need to be able to understand the faults pointed to by waveform or graphic comparison; and the more signals involved, the more complex the data acquisition hardware required, and the higher the cost

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