Study and development of innovative Machine Learning techniques for reliability test systems

An implementation of an analytical approach on reliability test systems for electronic components is introduced. The work presents an integrated solution, merging a deeper understanding of the process through AI algorithms, knowledge extraction from raw data by Data Mining and real-time control due to data collection by sensors – directly from the stress process