Application of Information Flow Model to Engine System Diagnosis and Maintenance

• Main Author: 林滄浪
• Other Authors: 陳竹一
• Format: Others
• Language: zh-TW
• Published: 1998
• Online Access: http://ndltd.ncl.edu.tw/handle/76260636146489613977

碩士 === 中華大學 === 電機工程學研究所 === 86 === 　　In a modern complex system, its main purpose is to mintain the execution of the mission. It is desired to diagnose the faults as soon as possible and then repair the faults under the complicated structure. However, optimizing a diagnostic sequence of tests is known to be an NP-complete problem. 　　This thesis proposes an efficient method, called entropy-directed serch, to diagnose an engine system of the car by applying the information flow model. It is shown that our method can find the best testing choice in a minimal tine of diagnostic procedure.