SoliDAIR quality prediction dataset UC BOS

This dataset was recorded from a high-volume, high-rate automotive production line for fuel injectors. The primary aim is to support the development of a robust AI model for in-line quality prediction. The data captures various process parameters from different manufacturing stations with the goal of identifying "Not OK" (NOK) parts early, based on their correlation with final End-of-Life (EoL) test measurements.