流體機械機件損壞預知技術研究-以船艦用燃氣渦輪主機系統為例

• Main Author: 戴瑞龍
• Other Authors: 夏筱明
• Format: Others
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/76854168010934622618

碩士 === 國防大學中正理工學院 === 兵器系統工程研究所 === 91 === The aim of this thesis study is to set up a basis for the development of specific techniques used in detecting the abnormal state of ship-used fluid machine systems, especially the marine gasturbine prime mover. In contents, the study begins with a collection of operating principles and performance data of different kinds of popular fluid devices and systems, and a field trip to depot workshops to collect the advisory opinions in maintenance practices, leading to the choice of LM2500 gasturbine to be the present study object. Followed is a comprehensive analysis of LM2500 module functions and characteristics, based on aerothermodynamics, to get the insight of the module roles in the process of the system power generation. Then is the design point simulation of LM2500, via the commercial software GasTurb, to generate data for analyzing the relation between the power deteriorations and the module efficiency changes. The last part is an application of the fuzzy set theory and the MatLab software, together with workshop experiences, to derive proper suggestions with trend plots for the maintenance decision-making. Through this study, it is concluded that the present results may be used to present possible fault occurrences and serve as a reference basis for managers in helping them design the on-conditional maintenance program of LM2500, especially in the timing-decision.