Train suspension system failure isolation method based on LDA method

The invention relates to a train suspension system failure isolation method based on an LDA method. The train suspension system failure isolation method is based on data feature extraction of the Fisher discriminatory analysis method and the application of the Fisher discriminatory analysis method in a train suspension system failure diagnosis. Diagnosis discrimination functions are obtained by collecting and training simulated normal data and all types of failure data so that new test data can be discriminated and diagnosed. According to the train suspension system failure isolation method based on the LDA method, a precise mathematical model is not required, and any requirement for overall distributed situations is not made; a large number of characteristic variables are reduced to several linear combinations, so that smaller dimensionalities are formed for convenient expression; meanwhile, a test unit is simple in structure and not prone to being interfered by external factors, and therefore the reliability of a device is high.