In this paper, we propose a diagnosis algorithm to detect faults of induction motor using LDA First, after reducing the input dimension of a current value measured by experiment at each period using PCA method, we extract characteristic vectors for each fault using LDA Next, we analyze the driving condition of an induction motor using the Euclidean distance between a precalculated characteristic vector and an input vector. Finally, from the experiments under various noise conditions showing the properties of the LDA method, we obtained better results than the case of using the PCA method.