Prognostics and Health Management of Industrial Equipment

Enrico Zio (1)

1 SSEC - Chaire Sciences des Systèmes et Défis Energétiques EDF/ECP/Supélec

Prognostics and health management (PHM) is a field of research and application which aims at making use of past, present and future information on the environmental, operational and usage conditions of an equipment in order to detect its degradation, diagnose its faults, predict and proactively manage its failures. The present paper reviews the state of knowledge on the methods for PHM, placing these in context with the different information and data which may be available for performing the task and identifying the current challenges and open issues which must be addressed for achieving reliable deployment in practice. The focus is predominantly on the prognostic part of PHM, which addresses the prediction of equipment failure occurrence and associated residual useful life (RUL).

Domaines: Energie électrique

Enrico Zio. Prognostics and Health Management of Industrial Equipment. Seifedine Kadry. Diagnostics and Prognostics of Engineering Systems: Methods and Techniques, IGI Global, pp.333-356, 2012, ⟨10.4018/978-1-4666-2095-7.ch017⟩. ⟨hal-00778377⟩