碩士 / 國立臺灣海洋大學 / 輪機工程學系 / 106 / The ship generators provide the main source of electrical power for deriving not only main engine and auxiliary engine, such as pumps, motors, boilers, purifiers, steering gear system, but also communication, navigation and lights. For the case as the deterioration or breakdown of the generators, the main engine maybe stopped such that the incidents as collision, stranding, wreck and so on. Hence, the ability of marine engineers is to effectively identify the causes of failure. Moreover, the marine engineers should solve and improve reliability of equipment to avoid the potential hazards. Although many works on the unusual situations breakdown of crank pin in generators engine were proposed the abnormal vibration, the temperature and monitoring values are employed to be the indexes of analyzing reliability of equipment. However, the engineers are difficultly applied the works to manage the engines in real operation because the corresponding data are not enough to analyze and determine the faults. According to the above reason, the critical management becomes more and more important issue in marine engine. Therefore, this thesis is proposed to discuss the cases occurring in practical ships. Moreover, the corresponding information are corrected and analyzed via Fault Tree Analysis (FTA). Based on the FTA analysis, the crank pin of generator’s engine is set as top even to decrease the probability of faults. Based on the proposed analysis technology, the causes of the faults can be identified and determined by marine engineers. Furthermore, the marine engineers are to prevent and to discontinue the trend of the breakdown. Finally, this thesis aims to help marine engineers mend the reliability of the ship generators and reduce the damage of misuse in the future.
| Identifer | oai:union.ndltd.org:TW/106NTOU5484021 |
| Date | January 2019 |
| Creators | Chung, Hung-Pang, 鍾宏邦 |
| Contributors | Ku, Cheung-Chieh, 古忠傑 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 48 |
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