An improved grey correlation algorithm and its application for diesel fault prediction

Grey correlation algorithm is getting more and more attention in the field of fault diagnosis, because of the high classification accuracy and small computation. Aiming at the deficiency of similarity and proximity, this paper raises an improved grey correlation algorithm with comprehensive estimation. The effectiveness of the improved algorithm is proved by test and it is applied in the fault diagnosis and prediction of diesel engine.