Commercial vehicles need to use PHM because the drivers cannot earn money during that period when a breakdown occurs. However, PHM technology has been actively applied in aviation and military, but it is also true that it has never been properly applied due to various limitations in automobile industry. In this study, PHM methodology suitable for commercial vehicle is constructed.
In the first step, the type, number, and position of the sensors are selected by applying the optimization technique so that the failure mode can be detected with considering cost reduction. Second, in case of a single vehicle such as aviation or military, PHM could be applied by using only data acquisition. However, in the case of commercial vehicles with several derivative cars, a hybrid model that considers the analytical model and data acquisition was applied to construct a diagnosis and prognostic model. Lastly, until now data driven approach was a way to check the status with the data obtained from the sensor and to report the remaining useful life when it continued. In advanced, in the vehicle, a dynamic model should be used to take into account external environment. And the SOFT SENSOR methodology that can catch the state of a specific weak point by using the detailed analysis model of NVH, thermal, and strength has been constructed.
How to Cite
commercial vehicle, motor, failure mode, PCA, FFT, feature extract, diagnosis, prognosis, RUL
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