Sensor fault diagnosis system and diagnosis method based on signal and environment excitation

Abstract

The invention provides a sensor failure diagnosis system and diagnosis method based on signal and ambient excitation. The sensor failure diagnosis system based on signal and ambient excitation comprises an electric signal excitation module, a signal and ambient excitation control module, a signal analysis and failure diagnosis module, a failure display module and a combined environment test chamber. The electric signal excitation module is used for generating resistance signals, current signals and voltage signals and inputting the signals into corresponding measured sensor transuding units. The sensor transuding units are placed in the combined environment test chamber. The combined environment test chamber can provide a temperature environment, a humidity environment, a vibration environment and a corrosive gas environment. The signal analysis and failure diagnosis module receives voltage signals sent by the measured sensor transuding units and calculates ideal voltage signals of the measured sensor transuding units at the same time, and finally actual voltage signals and the ideal voltage signals are compared, and whether the sensor transuding units break down is judged. Through the sensor failure diagnosis system and diagnosis method, defects of sensors can be stimulated, early failure diagnosis of the sensors can be realized, and the sensor failure diagnosis system and diagnosis method have the advantages that the method is convenient and fast, and the test cost is low.

Description

technical field [0001] The invention relates to the field of sensor fault diagnosis, in particular to a sensor fault diagnosis system based on signal and environment excitation. Background technique [0002] Sensors are widely used in intelligent environmental protection, intelligent transportation, intelligent medical care, and intelligent supply chain. The quality of the sensor is also becoming more and more important. Once the sensor fails to measure and the signal of the measured object cannot be obtained correctly, the upper-level decision-making system will make a wrong judgment, resulting in the failure of the control system. The key to improving the quality level of sensors is to have advanced testing methods in the design and manufacturing stages, and to find the design and manufacturing defects of sensors through fast, low-cost, and scientific tests. In this way, the test accuracy and service life of the sensor during use can be greatly improved. [0003] At pres...

AI Technical Summary

Problems solved by technology

There is currently a lack of testing techniques for detecting faults in the sensor during the testing phase

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