Prognostics and health management of safety relevant electronics for autonomous driving

Research output: ThesisDissertation (TU Delft)

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Abstract

This thesis describes a series of experiments, algorithms, and methodology development for implementing Prognostics and Health Management (PHM) in the field of automotive electronics. Furthermore, a new PHM framework is proposed explicitly tailored for the harsh environment electronics. In addition, the entire apparatus is built, such as the sensing capabilities of electronic packages and control units. A central PHM ECU is also developed to acquire the signal from sensors, process it, and perform calculations.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Delft University of Technology
Supervisors/Advisors
  • Zhang, G.Q., Supervisor
  • Gromala, P.J., Advisor, External person
Award date23 Jun 2021
Print ISBNs978-94-6421-400-0
DOIs
Publication statusPublished - 23 Jun 2021

Keywords

  • prognostics
  • piezoresitive stress sensor
  • diagnostics
  • machine learning
  • reliability
  • electronic packages
  • virtual twin

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