Preventive Maintenance Prioritization by Fuzzy Logic for Seamless Hydro Power Generation

被引：3

作者：

Roy P.K. ^{[1
]}

Adhikary P. ^{[2
]}

Mazumdar A. ^{[1
]}

机构：

[1] School of Water Resources Engineering, Jadavpur University, Kolkata

[2] Department of Mechanical Engineering, Swami Vivekananda Institute of Science and Technology (WBUT), Kolkata

来源：

Journal of The Institution of Engineers (India): Series A | 2014年 / 95卷 / 02期

关键词：

Equipment breakdown; Fuzzy logic; Hydro power; Preventive maintenance;

D O I：

10.1007/s40030-014-0076-9

中图分类号：

学科分类号：

摘要：

Preventive maintenance prioritization is one of the most important criteria for the electricity generation planners to minimize the down time and production costs. Break down of equipments increases costs and plant down time results in loss of business. This work focuses on prioritizing the preventive maintenance for seamless hydro power generation considering (24 × 7) client’s power demand using fuzzy logic. The main task involves prioritizing the maintenance work considering constraints of varied power demand and hydro turbine plant breakdown. Fuzzy logic is used to optimize the preventive maintenance prioritization under the main constraints. Manual fuzzy arithmetic is used to develop the model and MATLAB Fuzzy Inference System editor used to validate the same. This novel fuzzy logic approach of preventive maintenance prioritizing for hydro power generation is absent in renewable power generation and industrial engineering literatures due to its assessment complexity. © 2014, The Institution of Engineers (India).

引用

页码：97 / 104

页数：7

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