Wireless long-distance fault diagnosis system based on multiple-sensor information fusion

Abstract

The invention relates to a wireless long-distance fault diagnosis system based on multiple-sensor information fusion. The system comprises an industrial personal computer, a wireless transmission unit and a control unit, wherein the wireless transmission unit is used for connecting the industrial personal computer and the control unit; the control unit comprises a monitoring server, analog-digital converters, active low-pass filters and multiple data sensors; the multiple data sensors are connected with the monitoring server through the respective active low-pass filters and the analog-digital converters; the monitoring server is used for receiving the data of the analog-digital converters, performing analysis and process on acquired information based on the multiple-sensor information fusion technology of the BP neural network algorithm and performing judgment and process on the acquired information according to a fusion database and an expert knowledge base, wherein the previously recorded sensor data collection set is stored in the fusion database, and parameter record of all sensors, corresponding to known motor failure modes, is stored in the expert knowledge base. The system can improve the feasibility and accuracy of fault diagnosis.

Description

technical field [0001] The invention relates to the technical field of automatic control, in particular to a wireless remote fault diagnosis system based on multi-sensor information fusion. Background technique [0002] In recent years, with the development of modern industry, motors have been widely used in various fields of industrial systems. Its failure and sudden stop will not only damage the motor itself, but also affect the normal operation of the entire system, and even endanger the personal safety of production personnel, causing huge economic losses. Therefore, it has practical and economic significance to carry out fault diagnosis on the motor. At present, the cluster on-site motor fault diagnosis system is basically a function implemented by means of a wired sensor network. The wired sensor network method is limited by wiring, power supply, installation site, operation and maintenance environment, etc. It is impossible to guarantee the real-time, reliability an...

AI Technical Summary

Problems solved by technology

In the traditional method, the information collected by each sensor is processed separately and in isolation, which not only increases the processing workload, but also hinders the information connection between the sensors, and loses the information characteristics contained in the organic combination of information, resulting in information resources. waste of

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