Kalman-Filtering-Based Prognostics for Automatic Transmission Clutches

@article{Ompusunggu2016KalmanFilteringBasedPF,
  title={Kalman-Filtering-Based Prognostics for Automatic Transmission Clutches},
  author={Agusmian Partogi Ompusunggu and Jean-Michel Papy and S. Vandenplas},
  journal={IEEE/ASME Transactions on Mechatronics},
  year={2016},
  volume={21},
  pages={419-430}
}
Demands of low-cost prognostics tool for automatic transmission clutches (i.e., based on measurement data from sensors typically available) by industry have increased since the last few years. In this paper, a prognostics tool is developed by fusing a newly developed degradation model with the measurable pre-lockup feature under the extended Kalman filtering framework. As this feature can be extracted from sensory data typically available in wet clutch applications, the developed prognostics… CONTINUE READING

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