Data-Driven Design of Parity Space-Based FDI System for AMT Vehicles

Automated manual transmission (AMT) and its automatic shifting accuracy play a significant role in driveline performance and reliability of vehicles. Consisting of an engine, a clutch, a gearbox, shafts, and wheels, an AMT system becomes complicated and complex process. Therefore, the fault detection and isolation (FDI) are not easily done and need to be improved. The main contribution of this study is a systematic design of a parity space-based FDI system directly from input-output data. Dynamic cases of faulty occurrence in clutch, engine speed, throttle angle, and three-shaft speed sensors are considered, and the proposed approach is shown to be successful in each case.