Fault diagnose of sensor on wavelet transform

Wavelet transform has powerful ability in signal processing. Since wavelet transformation can localize sensor signal characteristics both in time and frequency domain. We mostly study the fault diagnose of sensor based on the singularity of continuous wavelet transformation. Firstly according to the wavelet transformation of signal of input and output, we can locate the singularity of signal Secondly, we can judge the maximum, which is mutated by input. So we can get the fault of sensor before the rest is fault of sensor when we get rid of the maximum. Through a large amount of simulations it indicates that the sensor faults detection method based on the theory of wavelet has the characteristic such as good sensitivity, high accuracy rate and robust ability to overcome noise. The result of simulation achieves satisfying result and testifies the advantage of using wavelet method in sensors faults detection.