Prognostics of automotive electronics with data driven approach: A review

Ahsan, Mominul, Stoyanov, Stoyan and Bailey, Chris (2016) Prognostics of automotive electronics with data driven approach: A review. In: 2016 39th International Spring Seminar on Electronics Technology (ISSE), 18 May 2016 - 22 May 2016, Pilsen, Czech Republic.

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Abstract

Prognostics and Health Management (PHM) is a comprehensive framework that can deal with solutions for predicting and maintaining electronic system's health. The emerging concept of PHM is increasingly considered for adoption in many engineering fields such as automotive, mechanical, electrical, industrial, aerospace and railway. PHM of electronic components and systems can offer competitive advantages by improving performance, reliability, safety, maintainability and availability. In this paper, a brief description of PHM concept, current PHM approaches, key prognostics components and corresponding monitored/sensed parameters in automotive PHM applications are presented. Software tools developed for PHM applications are also reviewed. Particular focus is given on data driven approaches for prognostics of performance and reliability of automotive electronic systems. Based on the undertaken review of state-of-art in this area, key requirements and attributes of prognostic frameworks for automotive electronics are formulated and future prognostics challenges for the sector are discussed.