Michael Pecht

University of Maryland, College Park, Life Cycle Engineering (United States)

Papers

Total Citations

498

H-Index

About

Michael Pecht is a pioneering figure in reliability engineering and prognostics, with a career spanning decades of transformative contributions to electronics, energy storage, and human-augmentation systems. His research focuses on remaining useful life prediction, failure analysis, and the development of physics-of-failure models for mission-critical components. Pecht’s most cited work, “Remaining useful life prediction of lithium-ion battery with unscented particle filter technique” (2012, 482 citations), revolutionized battery health management by introducing advanced Bayesian filtering methods for real-time degradation tracking—a cornerstone for electric vehicles and portable electronics. His recent survey on unpowered exoskeletons (2021, 16 citations) highlights his expanding interest in wearable assistive devices, addressing design challenges in passive mechanical systems for lower-limb support. As a Distinguished University Professor at the University of Maryland and founder of the Center for Advanced Life Cycle Engineering (CALCE), Pecht has authored over 700 publications and holds multiple patents. His work has earned him the IEEE Reliability Society Lifetime Achievement Award and the ASME Medal, cementing his legacy as a leader who bridges theoretical reliability science with practical, life-saving applications in aerospace, energy, and healthcare.