Phase-Based RMFDA Fault Diagnosis Method Using Bootstrap Technique

The fault diagnosis performance of Fisher Discriminant Analysis (FDA) method is superior to Principle Component Analysis (PCA) by taking into account both normal and fault data for modeling. For the cases with insufficient fault data, a diagnosis strategy is developed based on Bootstrap and phase-based Recursive Multi-way Fisher Discriminant Analysis (RMFDA). By this method, modeling data was constructed by Bootstrap. Besides, the diagnosis information of the previous phase was introduced in the next phase for MFDA modeling by combining recursive method. The effectiveness of the proposed method is demonstrated by applying it to the hydraulic tube tester.