Prognostics and System Health Management

Prognostics and Health Management (PHM) is an engineering discipline that takes past, present and (predicted) future information on the conditions of an equipment and use it to detect degradation, diagnose faults, and predict failures. PHM results are, then, used to guide effective condition-based and predictive maintenance strategies for increasing productivity, optimizing operating performance, reducing lifecycle costs, extending operating periods between maintenance and reducing downtimes, frequency and severity of unanticipated failures.

Piero Baraldi  - Politecnico Milano, Italy

Enrico Zio - Politecnico Milano, Italy



Arefe Asadi - PhD student at University of Technology of Troyes, France
Suk Joo Bae - Hanyang University, Seoul, South Korea
Christophe Berenguer - Université Grenoble Alpes - Grenoble INP, France
Stefan Bracke - University of Wuppertal, chair of reliability engineering and risk analytics, Germany
Bruno Castanier - Université d'Angers, France
Alicja Dąbrowska - Wroclaw University of Science and Technology, Faculty of Mechanical Engineering, Department of Technical Systems Operation and Maintenance, Poland
Martin Dazer - Institute of Machine Components, Germany
Pierre Dehombreux - University of Mons, UMONS Research Institute for the Science and Management of Risks, Belgium
Phuc Do - University of Lorraine, France
Mitra Fouladirad - Ecole Centrale Marseille, France
Jan Furch - University of Defence, Brno, Czech Republic
Robert Giel - Wrocław University of Science and Technology - Faculty of Mechanical Engineering, Department of Technical Systems Maintenance and Operation, Poland
Yufei Gong - Troyes university of Technology, France
Antoine Grall - Université de Technologie de Troyes, France
Marcin Hinz - Munich University of Applied Sciences, Germany
Khac Tuan Huynh - Computer Science and Digital Society Laboratory, Troyes University of Technology, France
Chul-Woo Kim - Kyoto University, Japan
Yves Langeron - Université de Technologie de Troyes, France
Francesca Marsili - Helmut-Schmidt University / University of the Federal Armed Forces Hamburg, Germany
Darren Prescott - University of Nottingham, UK
Yaxin Shen - LIST3N, Université de Technologie de Troyes, France
Shabnam Tayouri - Universite de Technologie de Troyes, France
Zequn Wang - Department of Mechanical Engineering, School of Mechanical and Electronic Engineering, University of Electronic Science and Technology of China (UESTC), China
Min Xie - City University of Hong Kong, Hong Kong
Zhiguo Zeng - Centralesupélec, Université Paris-Saclay, France

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