Fault diagnosis system and method for automobile safety air bag assembly working procedure

Abstract

The invention discloses a fault diagnosis system and a fault diagnosis method for an automobile safety air bag assembly working procedure, and relates to the field of detection for automobile air bags. The system comprises a field information acquisition device, a signal conditioning circuit, a computer processing subsystem, a fault output unit and an upper computer, wherein the field information acquisition device acquires data information required by fault diagnosis for the air bag assembly working procedure and transmits the acquired data information to the signal conditioning circuit for conditioning; then the computer processing subsystem performs processing and fusion analysis on the received data information and transmits a diagnosis result obtained through processing and analysis to the fault output unit for displaying and outputting; and the fault diagnosis result is transmitted to the upper computer for storage, so that a fault data sample base is updated. According to the system and the method, the accuracy rate of fault diagnosis for the automobile safety air bag assembly working procedure is effectively improved; phenomena of false alarming and leaked alarming are avoided; and therefore, the fault diagnosis result is relatively rational and relatively practical.

Description

technical field [0001] The invention relates to the detection field of automobile safety airbags, in particular to a fault diagnosis system and a diagnosis method for the assembly process of automobile safety airbags. Background technique [0002] The airbag is an important safety component of the car, and it has high requirements on the production process of the production line. Therefore, the production process control and fault diagnosis technology are particularly important. At present, the fault diagnosis method is usually based on the data detected by the sensor and by setting the corresponding threshold value. According to fault diagnosis, when the size of the airbag changes, the corresponding threshold parameters need to be revised again. The actual assembly system is very complex and highly nonlinear, it is difficult to establish a strict mathematical model, and in the assembly process, multiple sensors are required to coordinate at the same time, so relying on a si...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the technical problems of low accuracy and untimely fault diagnosis in the prior art, as well as the occurrence of false alarms and missed alarms, the present invention proposes a fault diagnosis system and a diagnostic method for the automobile airbag assembly process, which fully Using various sensor information in the airbag assembly process, the method of multi-scale BP neural network, wavelet function and three-layer self-organizing feature map network (SOM) is used for data fusion analysis, so that the fault diagnosis result has a high accuracy rate

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