Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/15225
Title: Inspection frequency optimization and partial discharge monitoring for condition based maintenance of substations
Authors: ZHOU RONGCHANG
Keywords: condition-based maintenance, substations, reliability modeling, inspection frequency, cost optimization, partial discharge monitoring
Issue Date: 22-Apr-2006
Source: ZHOU RONGCHANG (2006-04-22). Inspection frequency optimization and partial discharge monitoring for condition based maintenance of substations. ScholarBank@NUS Repository.
Abstract: This thesis aims to improve the existing techniques associated with condition-based maintenance of substations with different structures. It has two objectives with the first one to design a cost-optimal inspection frequency analysis approach for open-type substations, and the other to develop an efficient partial discharge (PD) diagnostic technique for gas-insulated substations (GIS). Three contributions have been made through these two objectives. The first contribution is the development of an adaptive reliability model, which adapts to changing operating conditions of equipment to ensure reliability. Based on this adaptive model, the second contribution involves the development of an inspection frequency optimization scheme for multi-component substations to minimize their overall operating costs. The third contribution is the development of a neural-network based PD source classifier to identify various PD sources. Furthermore, various time delay estimation methods have been investigated for locating different PD sources inside GIS, with the most accurate approach identified.
URI: http://scholarbank.nus.edu.sg/handle/10635/15225
Appears in Collections:Master's Theses (Open)

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