Aiming at detection and diagnosis of sensor

a fault detection and identification method for hydrogen sensor based on residual of spares decomposition is proposed. The method bases on theory of signal spares representation

collects the normal signal data of hydrogen sensor to learn an over-complete dictionary D by K-SVD learning algorithm firstly

then uses the dictionary D to decompose abnormal（ fault） signals and get the decomposed residuals. Finally

according to size and range of the residuals

the sensor faults can be detected and identified. The experiment results show that for hydrogen sensor

the detection and total recognition rate of the proposed method reachs to 98. 75 % and 97. 25 % respectively

which can be applied to detect and identify the fault of hydrogen sensor effectively.