An advanced maintenance system for polygeneration applications

Abstract

This paper presents an advanced maintenance procedure and a maintenance management model for polygeneration applications, which is part of the HEGEL project. A Proper maintenance strategy has been designed, identifying the critical component based on RCM methods, and afterwards selecting the best on-line condition monitoring indicators. The maintenance model is distributed among a local module, dealing with monitoring and user feedback information, an a centralized platform for management nicknamed TESSnet, a system that can be identified as a predictive maintenance management system (PMMS) which performs condition monitoring (CM), diagnosis, prognosis and decision support, based on both condition and reliability data and taking into account a best energy efficiency. The application has been developed according to condition based maintenance (CBM) strategy and following the structure proposed by OSA-CBM architecture (the standardization of CBM in order to facilitate the integration and interoperability between CBM components). Moreover, this platform interacts with a set of web services that range from simple CM protocols to complex diagnosis protocols for certain applications based on Decision Network algorithms.