Open AccessDecision Support System and Integrated Asset Optimization (DSS & IAO)
Author(s) -
Nisha Prasad,
C. Radhakrishna
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a9479.109119
Subject(s) - predictive maintenance , computerized maintenance management system , reliability engineering , decision support system , systems engineering , asset management , computer science , maintenance actions , proactive maintenance , expert system , event (particle physics) , maintenance engineering , risk analysis (engineering) , preventive maintenance , engineering , medicine , physics , finance , quantum mechanics , economics , artificial intelligence
In order to achieve the target of substations maintenance at minimum cost and high reliability, a comprehensive maintenance management system which will enable the execution of maintenance activities incorporating the various optimization strategies and policies is required. In today’s scenario for achieving effective maintenance number of systems, instrumentation technologies, etc. are in use to achieve the targeted benefits. At the substation level these systems are working independently and maintenance engineer is required to coordinate these systems for achieving the synchronization with the overall substation level. Computerized Maintenance Management System (CMMS) with built-in Decision Support System (DSS) are in use to address this issue. Present CMMS systems do not provide a comprehensive platform to implement DSS along with rule base expert systems for event based maintenance and other abnormalities management. In this paper a new platform DSS&IAO which is a comprehensive, integrated and expandable system for the substation maintenance management is proposed. Right from the preventive maintenance to condition based maintenance coupled with event based to equipment specific rule based expert system have been implemented. DSS&IAO is a platform wherein new optimization algorithms, new device interfaces, etc., can be easily incorporated.