From Machine Data to Data-Driven and Smarter Industrial Processes

Faizan Shaikh is an industrial PhD candidate in the EXACT Research School at Karlstad University, working in collaboration with Stora Enso. His research focuses on industrial data and real-world production challenges to develop and evaluate methods for predictive maintenance in industrial environments.

What if machines could tell us when they need attention before they break down? In this film, doctoral researcher Faizan Shaikh explains how data science can be used to detect hidden warning signs in industrial equipment. His research focuses on predictive maintenance, machine health monitoring, and the use of historical and real-time industrial data to identify early indicators of faults and malfunctions. By turning unexpected breakdowns into planned maintenance activities, his work helps reduce resource waste, save energy, improve operational reliability, and support a more sustainable industrial future.