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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhang, T. Nakamura, M. Hatazaki, H. |
| Copyright Year | 2002 |
| Description | Author affiliation: Dept. of Adv. Syst. Control Eng., Saga Univ., Japan (Zhang, T.; Nakamura, M.) |
| Abstract | This paper presented a decision methodology for maintenance interval of equipment by ordering based on element reparation-replacement rate, in order to obtain optimal maintenance scheduling and reduce maintenance cost, while keeping average element reliability. Since data of failure are rare in actual equipment definitely, information from element regular maintenance based on an experience can be considered to be adapted for reflecting the feature of reliability. According to the element reparation/replace rate calculated by synthesizing multiple factors, element reliability can be quantitatively described. Through ordering element reliabilities with various average maintenance interval types, maintenance intervals of elements are rearranged meanwhile keeping average element reliability. Therefore, maintenance interval of element can be extended comparing with current maintenance scheduling, so as to reduce maintenance cost. With actual data of electrical elements in thermal power stations of Kyushu Electric Power Co. of Japan, attractive results were obtained and thus the effectiveness of the proposed strategy can be verified. |
| Starting Page | 969 |
| Ending Page | 974 |
| File Size | 431389 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780375181 |
| DOI | 10.1109/PESS.2002.1043516 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-07-21 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Maintenance Job shop scheduling Power generation Power system modeling Frequency Cost function Humans Power measurement Power quality Power system economics |
| Content Type | Text |
| Resource Type | Article |
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