Serviceeinschränkungen vom 12.-22.02.2026 - weitere Infos auf der UB-Homepage

Treffer: 機械設備故障診斷及維修支援之多代理人系統研發 ; Development of A Multi-Agent System for Fault Diagnosis and Maintenance Support of Mechanical Equipments

Title:
機械設備故障診斷及維修支援之多代理人系統研發 ; Development of A Multi-Agent System for Fault Diagnosis and Maintenance Support of Mechanical Equipments
Authors:
Contributors:
鍾添東, 臺灣大學:機械工程學研究所, 黃晟, Huang, Cheng
Publication Year:
2005
Collection:
National Taiwan University Institutional Repository (NTUR)
Document Type:
Dissertation thesis
File Description:
1433392 bytes; application/pdf
Language:
Chinese
English
Relation:
[1] Pham, D. T. and Pham, P. T. N., “Expert Systems in Mechanical and Manufacturing Engineering”, The International Journal of Advanced Manufacturing Technology, Vol.3, No.3, pp.3-21, 1988. [2] Chen, J. L., “A Knowledge-based Expert System Consultant for Optimum Structural Synthesis”, PhD Thesis, University of Florida, 1987. [3] Pham, D.T. & Pham, P.T.N., “Artificial intelligence in engineering”, International Journal of Machine Tools & Manufacture, Vol. 39, 1999. [4] 梁效榕,「以知識為基之機械設備錯誤診斷及維修諮詢系統」,台灣大學機械工程學研究所碩士論文,2003。 [5] Sycara, Katia P., “Multiagent Systems”, AI Magazine, 1998. [6] Nurminen, J. K., Karonen, O. & Hatonen, K., “What makes expert systems survive over 10 years—empirical evaluation of several engineering applications”, Expert System with Applications, Vol. 24, 2003 [7] Davidson, P.L., Halasz, M.S., Phan, S. and Hakima, S.A., “Intelligent Troubleshooting of Complex Machinery”, ACM press, 1990, pp. 16~22. [8] Ursenbach, A., Wang, Q. and Rao, M., “Intelligent Maintenance Support System for Trucks”, Intelligent Vehicles '95 Symposium, 1995, pp. 235~240. [9] Lee, Sangyong and Ragusa, J.M., “A Multimedia Electronic Performance Support System for Automatic Test Equipment Operation and Training Support”, Systems, Man, and Cybernetics, Vol.3, 1997, pp. 2081~2085. [10] Helfman, R., Baur, E., Dumer, J. and Hanratty, H., “Turbine Engine Diagnostics (TED): An Expert Diagnostic System for the M1 Abrams Turbine Engine”, American Association for Artificial Intelligence, 1999, pp. 69~76. [11] Varma, A. and Roddy, N., “ICARUS: Design and Deployment of a Case-based Reasoning System for Locomotive Diagnostics”, Engineering Applications of Artificial Intelligence 12, 1999, pp. 681~690. [12] Yoshikiyo Kato, Takahiro Shirakawa and Koichi Hori, “Utilizing Fault Cases for Supporting Fault Diagnosis Tasks”, Proceeding of International Conference on Knowledge-based Intelligent Information and Engineering System, 2002, pp.1~5. [13] Devaney, Mark and Cheetham, Bill, “Case-Based Reasoning for Gas Turbine Diagnostics”, 18th International FLAIRS Conference (FLAIRS-05), Clearwater, FL. [14] 黃旭龍,「以智慧型代理人為基礎所發展之自主性電動輪椅系統」,長庚大學機械工程研究所碩士論文,2001。 [15] Marzi, R; John, “Supporting fault diagnosis through a multi-agent architecture”, P. Proceedings of the Institution of Mechanical Engineers -- Part B -- Engineering Manufacture, Vol. 216 Issue 4, 2002. [16] Zha, X.F. & Du, H., “A PDES / STEP-based model and system for concurrent integrated design and assembly planning”, Computer Aided Design, Vol. 34, 2002. [17] 馬士凱,「以代理人為基礎之彈性製造系統搬運設備協調機制之探討」,台北科技大學生產系統工程與管理研究所碩士論文,2002。 [18] 孫浩文,「分散式電腦輔助工程系統資訊代理人之研究」,中興大學機械工程學研究所碩士論文,2003。 [19] Li, Daoliang, Fu, Zetian, & Duan, Yanqing, “Fish-Expert: a web-based expert system for fish disease diagnosis”, Expert System with Application, Vol. 23, 2002. [20] Guo Q. Huang & John A. Brandon, Cooperating Expert Systems in Mechanical Design, 1993, pp. 29~160. [21] U.S.A. Ministry of Defence, Defence Standard, DEF STAN 00-60, Integrated Logistic Support Part 2: Guide to the Application of LSA and LSAR, Issue 4, 2000. [22] 張建國,「操作及支援成本與後勤參數關係之研究」,台灣大學機械工程學研究所碩士論文,2003。 [23] Watson, Ian & Marir, Farhi, “Case-Based Reasoning: A Review”, The Knowledge Engineering Review, Vol. 9, No 4, 1994. [24] Montgomery, D.C., Runger, G.C., and Hubele, N.F., “Engineering Statistics”, John Wiley & Sons, Inc., 2001, pp. 140~180. [25] 吳益坤,「代理人為基黑板溝通模式系統設計──以軟體品質驗證為例」,國防管理學院國防資訊研究所碩士論文,2001。
Accession Number:
edsbas.53C415A1
Database:
BASE

Weitere Informationen

本文發展一套用於機械設備故障診斷及維修支援之多代理人專家系統。首先根據美軍之MIL-STD-1388-2B規範建立一個知識庫,此知識庫包含後勤資訊、錯誤症狀、症狀之失效原因、維修程序、維修敘述等資訊。接著從知識庫擷取設備故障症狀與其可能原因間的關係,並以知識精鍊策略粹取精鍊後之知識。另外提出一種混合式之故障診斷推論方法,此推論方法整合知識為基與案例為基推論方法,並根據零件可靠度及症狀發生機率以找出故障原因。最後以Prolog、Java及C++語言發展一多代理人專家系統程式,此程式透過網際網路進行故障診斷、知識精鍊、以線上手冊及多媒體方式呈現維修工作及敘述給使用者、藉分析維修紀錄自我學習等;此程式也提供服務給網際網路上經授權使用之電腦。最後此多代理人系統以一複雜機械設備之知識庫進行測試,測試結果顯示本文提出之知識精鍊策略及混合式推論方法能有效率地辨識設備的各種故障原因。 關鍵字:故障診斷、維修支援、混合式推論、多代理人系統 ; In this thesis, a multi-agent system for fault diagnosis and maintenance support of mechanical equipments is developed. First, a knowledge base is created based on the MIL-STD-1388-2B format. It contains logistic information, fault symptoms, causes of symptoms, maintenance procedures and statements, and repair records. Then, relationships between the symptoms and causes of faults are extracted from the knowledge base and refined by proposed knowledge refinement strategy. A hybrid reasoning method is proposed for fault diagnosis. It is formed by combining the knowledge-based reasoning and the case-based reasoning, and based on reliabilities of parts and probabilities of symptoms for identifying fault causes. Finally, a program of multi-agent system is developed using Prolog, Java, and C++ for knowledge refinement, fault diagnosis, presenting maintenance procedure and statements with on-line manual, and self-learning from analyzing maintenance records. The program also provides Internet services such that it can be run through any authorized client computer. The developed program is tested with the database of complex mechanical equipments. The diagnosis process shows that the proposed knowledge refinement and new inference strategy can identify the causes of fault symptoms efficiently. Keywords:Fault diagnosis, Maintenance support, Hybrid reasoning, Multi-agent system ; 中文摘要.I 英文摘要. II 目錄. III 圖目錄. V 表目錄.VI 符號說明. VII 第一章緒論. 1 1.1 簡介. 1 1.2 研究動機. 3 1.3 文獻回顧. 4 1.4 研究目的. 9 1.5 論文大綱. 10 第二章多代理人系統及機械設備故障診斷方法. 11 2.1 多代理人系統之架構及實作方法. 11 2.1.1 多代理人系統原理. 11 2.1.2 多代理人系統架構. 12 2.1.3 多代理人系統實作方法. 14 2.2 ...