Similarity-based fault isolation method of train suspension system

The invention relates to a similarity-based fault isolation method of a train suspension system. The method includes taking the train suspension system as a condition monitoring and fault diagnosis object, obtaining a system output residual through analyzing the motion state during operation of a train and Kalman filtering, obtaining fault signal frequency domain information through performing fast Fourier transform on the system output residual, and calculating a similarity score of a currently detected fault and a typical fault through the Eros algorithm to determine the type and position of the current fault. The method achieves intelligent isolation of train suspension system faults and plays important roles in guaranteeing train safe operation, guiding maintenance and overhauling of the train suspension system and improving the train operating efficiency.