摘要：AbstractOne of widely the used applications of engine test-bed systems is the estimation of engine parameters and assessment of controllers in early design phase. Optimized efficiently, controller parameters can assist in fulfillment of fuel consumption and driving comfort requirements. Usually the results of coordinating experiments differ with major cause of that being due to some external disturbances or faults. The primary purpose of this paper is to use hidden Markov models for fault detection in test beds in order to enhance the engine design process by performing a reduction in costs and time of the design process and its control concept. The results have been demonstrated on an industrial engine test bed and the performance of these methods is discussed
关键词：KeywordsData-DrivenFault DetectionFault IsolationEngine Test BedMultimode Systems
