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A Fault Diagnosis Method of Temperature Sensor Based on Analytical Redundancy

Fault diagnosis technology of the temperature sensor on the general processing module (GPM) of integrated modular avionics (IMA) was studied. Through the accelerated life testing of the complex programmable logic device (CPLD) on GPM, the corresponding analytical relationship between the oscillator frequency and temperature was obtained, and the analytical redundancy model between temperature and oscillator frequency was constructed. The fault diagnosis algorithm is designed based on statistical hypothesis testing. The moving mean method is used in the alarm process. The paper compares the traditional method WSPRT (Wald Sequential Probability Ratio Test) with MaxSPRT in the verification process. For MaxSPRT, its hypothesis testing model of the normal distribution is deduced. The simulation model of sensor fault is designed. The effectiveness and rapidity of the proposed method are verified.