Research on sensor state evaluation and fault diagnosis based on multi-dimensional information fusion

Abstract

With the improvement of computer level, the automation level of various large-scale equipment is gradually improved, which will strengthen the requirements of large-scale equipment for control system. However, the computer control system is inseparable from the application and control of various sensors, which is also an important embodiment of the current high automation of large equipment. Therefore, sensor network has become the bridge of large-scale equipment control system, which will directly reflect the state of equipment and effectively control the implementation of the working process. Therefore, accurate analysis and evaluation of sensor status information has become an indispensable part of large-scale automation equipment, which will directly affect the safe operation of control system and equipment. Therefore, it is necessary to diagnose the faults of multiple sensors. Multi-dimensional Information Fusion (hereinafter referred to as MDIF) technology is a simultaneous interpreting method of different sensor data by computer technology, which can accurately acquire information of multiple sensors. Through analysis and decision-making, we can better control and monitor large-scale equipment. Therefore, MDIF has been applied to large-scale equipment detection and fault diagnosis. Based on computer control technology, multi-dimensional fusion of multi-sensor information is realized in this paper. Finally, based on the powerful computing power of computer, this paper puts forward the analysis method of neural network control.