Title: Prognostics and Systems Health Management within the Internet of Things
By: Prof. Michael Pecht
University of Maryland, USA
Prognostics and health management is a method within the concepts of the Internet of Things, that permits the assessment of a system under its actual application conditions. It integrates sensor data with models that enable in-situ assessment of the “health” (e.g. deviation or degradation) of a system from an expected normal operating condition and also predicts the future state of the system based on current and historic conditions. This presentation discusses some methods used for anomaly detection and prognostics, including the monitoring and reasoning of parameters that are precursors to impending “failure”, such as shifts in performance parameters; and the modeling of stress and damage utilizing life cycle loads (e.g., usage, temperature, vibration, radiation). Examples of implementation methods and results are given.
About the Speaker
He is a Professional Engineer, an IEEE Fellow, an ASME Fellow, an SAE Fellow and an IMAPS Fellow. He has previously received the European Micro and Nano-Reliability Award for outstanding contributions to reliability research, 3M Research Award for electronics packaging, and the IMAPS William D. Ashman Memorial Achievement Award for his contributions in electronics analysis. He is the editor-in-chief of IEEE Access, and served as chief editor of the IEEE Transactions on Reliability for nine years, chief editor for Microelectronics Reliability for sixteen years, an associate editor for the IEEE Transactions on Components and Packaging Technology, and on the advisory board of IEEE Spectrum.
He is the founder and Director of CALCE (Center for Advanced Life Cycle Engineering) at the University of Maryland, which is funded by over 150 of the world’s leading electronics companies at more than US$6M/year. The CALCE Center received the NSF Innovation Award in 2009, as well as the National Defense Industrial Association award (2009) for demonstrating outstanding achievement in the practical application of Systems Engineering principles, promotion of robust systems engineering principles throughout the organization, and effective systems engineering process development.
He is currently a Chair Professor in Mechanical Engineering and a Professor in Applied Mathematics at the University of Maryland. He has written more than twenty books on product reliability, development, use and supply chain management. He has also written a series of books of the electronics industry in China, Korea, Japan and India. He consults for 22 international companies. He has written over 700 technical articles and has 5 patents.