Condition-based maintenance to predictive maintenance: a use case on selected USARMY military aircraft

Abstract

Maintenance research activities in the area of HUMS began at UofSC in 1998 and the Center for Predictive Maintenance (CPM) at the UofSC College of Engineering and Computing was established in August 2007. Since its inception, the Center has strived to undertake new tasks and responsibilities to satisfy the needs of defense aviation. CPM at UofSC continues to lead the way in advancing this technology through rotorcraft drive train component testing, exploration of alternate sensor and signal processing technologies, as well as investigation of historical fleet data for rapid verification and integration of experimental results. The Center's core capabilities include testing, cost-benefit analysis, creating predictive analytics tools, digital transformation, and fundamental research. Years of experience and lessons learned have allowed CPM to create an effective methodology for predictive maintenance.