From Prognostics and Health Systems Management to Predictive Maintenance 1: Monitoring and Prognostics (Mechanical Engineering and Solid Mechanics: Reliability of Multiphysical Systems)

This book addresses the steps needed to monitor health assessment systems and the anticipation of their failures: choice and location of sensors, data acquisition and processing, health assessment and prediction of the duration of residual useful life. The digital revolution and mechatronics foreshadowed the advent of the 4.0 industry where equipment has the ability to communicate. The ubiquity of sensors (300,000 sensors in the new generations of aircraft) produces a flood of data requiring us to give meaning to information and leads to the need for efficient processing and a relevant interpretation. The process of traceability and capitalization of data is a key element in the context of the evolution of the maintenance towards predictive strategies.

Rafael Gouriveau is Associate Professor (HDR) at the National Institute in Mechanics and Microtechnologies (ENSMM), Besançon, France, working with the AS2M (Automatic Control and Micro-Mechatronic Systems) department of the FEMTO-ST Institute. His research interests mainly concern the development of Prognostics and Health Management (PHM) solutions. He is also the scientific coordinator of the PHM research axis from the FCLAB (Fuel Cell Lab) Research Federation (CNRS).

Kamal Medjaher is Professor at the Tarbes National School of Engineering (ENIT), France. He conducts his research activities within the Production Engineering Laboratory (LGP). He currently leads research works in the field of Prognostics and Health Management of industrial systems.

Noureddine Zerhouni is Professor at the National Institute in Mechanics and Microtechnologies (ENSMM), Besançon, France, working with the AS2M (Automatic Control and Micro-Mechatronic Systems) department of the FEMTO-ST Institute. His current research interests include modeling, analysis and control of manufacturing systems, intelligent maintenance systems, e-maintenance, and Prognostics and Health Management (PHM).