A new approach of PHM as a service in cloud computing

Abstract

Smart Manufacturing is the fourth revolution in the manufacturing industry “industry 4.0”. The integration of Internet of things and Cloud manufacturing becomes increasingly important for the development of the industry 4.0. The objective of industry 4.0 is not just to improve the production management but also manage and reduce equipment downtime, for that many strategies could be implemented to ensure the good condition of equipment. The efficient one is the predictive maintenance which collects information from sensors and predicts the malfunction or failure in the system. Prognostics Health Manager (PHM) offers significant benefits for maintenance. It predicts the future behavior of a system as well as its remaining useful life. This paper offers a new architecture to provide PHM solutions as a service in cloud computing environment (PHM-SaaS, PHM-PaaS, PHM-IaaS). We defined the entities and actors as well as their behavior in this architecture. To test our approach we were interested by the prognostics and post-prognostics process which are the main steps in the PHM technology, the remaining useful life is estimated in the prognostics step and according to this RUL a decision is automatically provided by the post prognostics process.