Fault diagnosis of high voltage direct current system based on particle filter

A new particle filter based fault diagnosis method for nonlinear stochastic system with non-Gaussian noise and disturbances is proposed by combining particle filter algorithm and fault diagnosis theory. One of the appealing advantages of the new approach is that the complete probability distribution information of the state estimates from particle filter is utilized for fault detection, another is its applicability to general non-linear system with non-Gaussian noise and disturbances. Experimental results show the method is efficient and applicable to HVDC system.