Decision Support System and Integrated Asset Optimization (DSS & IAO)
N.V.P.R. Durga Prasad1, C. Radhakrishna2

1N.V.P.R. Durga Prasad*, BHEL, Corporate Research & Development, Hyderabad, India.
2Dr. C. Radhakrishna, Professor of Electrical Engineering, Former Director UGC-ASC Jawaharlal Nehru Technological University, Hyderabad, India.
Manuscript received on September 20, 2019. | Revised Manuscript received on October 15, 2019. | Manuscript published on October 30, 2019. | PP: 1070-1077 | Volume-9 Issue-1, October 2019 | Retrieval Number: A9479109119/2019©BEIESP | DOI: 10.35940/ijeat.A9479.109119
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Abstract: 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.
Keywords:  Substations, CMMS, DSS, Asset Management, Expert System.