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Prediction of the Remaining Useful Life for Components of Automated Processes

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Fault-Tolerant Design and Control of Automated Vehicles and Processes

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 201))

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Abstract

This chapter explains a strategy for scheduling in assembly systems, which is based on an innovative algorithm for the estimation of the state of the battery of vehicles in automated processes. The chapter includes descriptions of the underlying research, the sample application, the state of the art in the concerned areas, the estimation of the battery state, the prognosis of the remaining useful life, the predictive control of the assembly system and the verification of the developed approach as well as the results of this verification.

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  1. University of Applied Sciences Ravensburg-Weingarten, Weingarten, Baden-Württemberg, Germany

    Ralf Stetter

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Stetter, R. (2020). Prediction of the Remaining Useful Life for Components of Automated Processes . In: Fault-Tolerant Design and Control of Automated Vehicles and Processes. Studies in Systems, Decision and Control, vol 201. Springer, Cham. https://doi.org/10.1007/978-3-030-12846-3_7

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