Predictive maintenance analysis using chemometrics in energy transmission

Supervisor: dr. Sin Yong Teng

This master internship is to analyze predictive maintenance and reliability with a major Dutch energy company. The task is to use data-driven models in accurately predicting failures in energy transmission systems, and demonstrate the cost-effectiveness of such approaches. It is necessary that the applicant understands the basic chemometrics concepts and can implement code in Python or Matlab. Students can gain real-world experience by working with industrial dataset and communicate with industrial partners. Please contact dr. Sin Yong Teng for further information.