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- W2936651698 abstract "Abstract The development of a computational tool to support the decision of load dispatch according to the operational conditions of motors and generators of power plants has been proposed, which are classified in relation to the probabilities of faults by a fuzzy system developed in this text, from indicators obtained from the analysis of lubricating oil, vibration analysis, and thermography of power generation equipment. The study is based on the principle of operation and operational conditions of the equipment to be dispatched for generation in a power plant, in addition to its particularities as specific consumption and polluting emission for each equipment. In this way, this work aims not only to provide the tools to monitor these equipment but also, based on the management reports of vibration analysis, temperature, and oil analysis, take corrective actions to maintain the necessary reliability and achieve the quality of the service through a preclearance procedure that takes into account the operating conditions of the equipment, obtaining performance indicators of the plan." @default.
- W2936651698 created "2019-04-25" @default.
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- W2936651698 date "2020-01-22" @default.
- W2936651698 modified "2023-10-12" @default.
- W2936651698 title "Maintenance Management with Application of Computational Intelligence Generating a Decision Support System for the Load Dispatch in Power Plants" @default.
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- W2936651698 doi "https://doi.org/10.5772/intechopen.82795" @default.
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