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.
|Qualification||Doctor of Philosophy|
|Award date||23 Jun 2021|
|Publication status||Published - 23 Jun 2021|
- piezoresitive stress sensor
- machine learning
- electronic packages
- virtual twin