RCAM Based Maintenance Plan of the Power Transformers Using k-Means Clustering Algorithm

被引：0
|
作者：
Koksal, Aysun [1 ]
Ozdemir, Aydogan [2 ]
Ata, Oguz [3 ]
机构：
[1] Istanbul Aydin Univ, Istanbul, Turkey
[2] Istanbul Tech Univ, Istanbul, Turkey
[3] Istanbul Esenyurt Univ, Istanbul, Turkey
来源：
2017 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM APPLICATION TO POWER SYSTEMS (ISAP) | 2017年
关键词：
Reliability Centered Asset Management; criticality analysis; k-Means Clustering; power transformers; ASSET MANAGEMENT; DISTRIBUTION-SYSTEMS; RELIABILITY;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
RCAM based maintenance planning of power transmission grid aims to optimize the planned outage of the assets that maximizes the system reliability without additional cost increases. A recent RCAM based transformer maintenance procedure is extended to the system level and a revised maintenance plan is proposed to achieve better reliability indices, total costs and longer life cycles. k-means clustering algorithm is used for criticality assessment and classification of the transformers with respect to two criticality criteria. The proposed classification is applied to the power transformers of Turkish National Power Transmission System and the results are discussed in terms of accuracy and the applicability.
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页数：6
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