Intelligent-motor integrated-type multi-parameter fusion health diagnosis and early warning system

Abstract

The invention provides an intelligent-motor integrated-type multi-parameter fusion health diagnosis and early warning system and belongs to the intelligent on-line monitoring field of a motor. The system comprises a built-in rotating speed measurement unit, a temperature measurement unit, an electrical parameter measurement unit, an integrated-type intelligent operation monitoring early warning apparatus, an intelligent bearing monitoring early warning apparatus and an intelligent vibration monitoring early warning apparatus. The apparatuses can be installed when the motor is delivered and are integrated into one body with the motor. Multi-parameter, long-term, continuous, real-time and comprehensive operated large data acquisition and accumulation during a motor operation process are realized. Based on multi-parameter fusion, accurate identification determination and health diagnosis of a local motor work state are performed, and an early warning or alarm signal is timely emitted to portable equipment and a cloud server. The system possesses advantages that the structure is simple; later installation is not needed; usage is convenient; and cost is low and so on. And the system can be widely applied to health diagnosis and fault early warning of various kinds of motors.

Description

technical field [0001] The invention relates to a motor health diagnosis and early warning technology, in particular to an intelligent motor integrated multi-parameter fusion health diagnosis and early warning system. The invention belongs to the field of intelligent online monitoring of motors. Background technique [0002] Motors are widely used in various fields of industrial production. Various types of faults may occur during operation, such as overvoltage, overcurrent, overload, phase loss, abnormal temperature, etc., which will affect the normal operation of the entire system and production, and even cause serious damage. economic loss. Traditionally, motor protection devices have been used to solve this problem. Motor protection is to actively trip when a fault is detected to prevent the fault from expanding. Although the motor body is protected from damage, due to the randomness of the protection trip, the production process will be interrupted unexpectedly. Sever...

AI Technical Summary

Problems solved by technology

However, the fault warning was not realized, and the types of motor operating parameters collected were few. The device only collected the electric energy, temperature and humidity of the motor, which was obviously not enough to accurately analyze the cause of the fault and accurately evaluate the health status of the motor.

The device and the motor are separated, which is inconvenient to install and disassemble. Some sensors even need to disassemble the motor to install and disassemble, and the cost is high, the space is large, and it is not universal. Carrying out the big data accumulation of the motor, let alone realize the health diagnosis of the motor

[0005] According to statistics, if the equipment can be effectively monitored and timely fault diagnosis and early warning can be made, the failure rate of the equipment can be reduced by about 75%, and the related maintenance costs will also be reduced by about 38%.

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