Prognostic design: requirements and tools

Pierre Cocheteux (1) , Alexandre Voisin (1) , Eric Levrat (1) , Benoît Iung (1)

1 CRAN - Centre de Recherche en Automatique de Nancy

Maintenance plays now a critical role in manufacturing for achieving important cost savings and competitive advantage while preserving product conditions. It suggests moving from conventional maintenance practices to predictive strategy. Indeed the maintenance action has to be done at the right time based on the system health state and component Remaining Useful Life (RUL) assessed by a prognostic process. But this new process needs methodology to support its design phase. Thereby when requirements about the expected quality of prognostic results are made, questions about the selection of addressed failure modes and of their prognostic model/tool appear. Thus this paper faces with challenges by proposing a methodology enabling to guide the designer for answering the previous questions. This methodology describes tools needed to formalize the necessary system functional and dysfunctional knowledge and gives guidelines allowing to design prognostic process with the respect of expected requirements.

Mots clés: Prognostic; Maintenance; Design methodology

Domaines: Autre

Pierre Cocheteux, Alexandre Voisin, Eric Levrat, Benoît Iung. Prognostic design: requirements and tools. 11th International Conference on The Modern Information Technology in the Innovation Processes of the Industrial Enterprises, MITIP 2009, Oct 2009, Bergame, Italy. pp.CDROM. ⟨hal-00429297⟩