A troubleshooting process planning using knowledge base and distributed database approach

This study introduces an approach of knowledge acquisition and modeling for troubleshooting process planning. It is essential for constructing a knowledge base can be maintained and shared. A knowledge base should not merely be a set of rules but a framework of troubleshooting that can be controlled and customized by rules. For the construction of a knowledge base, identifying the types of knowledge components to be included is a prerequisite. To identify the knowledge units, this study employs a modeling approach consisting of three sub-models: object model, functional model, and dynamic model. In addition, mechanisms for maintaining dependency relations of the troubleshooting descriptions at different locations and reasoning using the knowledge at different locations are also developed. The system is implemented using an object oriented programming language. The proposed approaches are applied to the troubleshooting process planning in automotive braking system.

[1]  Robert P. Goldman,et al.  From knowledge bases to decision models , 1992, The Knowledge Engineering Review.

[2]  O. W. Salomons,et al.  Review of research in feature-based design , 1993 .

[3]  Dimitris Kiritsis,et al.  A review of knowledge-based expert systems for process planning. Methods and problems , 1995 .

[4]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[5]  Emmanuel Adamides,et al.  Coordination of distributed production resources for responsibility-based manufacturing , 1995, J. Intell. Manuf..

[6]  Susan D. Urban,et al.  Design information system infrastructure to support collaborative design in a large organization , 1995 .

[7]  Chr Angeli,et al.  An expert system approach to fault diagnosis in hydraulic systems , 1995 .

[8]  J. Lee.  Strategy and challenges on remote diagnostics and maintenance for manufacturing equipment , 1997, Annual Reliability and Maintainability Symposium.

[9]  M. A. Younis,et al.  A CAPP expert system for rotational components , 1997 .

[10]  Edward Szczerbicki,et al.  Multi-agent systems for concurrent engineering , 1997 .

[11]  Behrokh Khoshnevis,et al.  Process planning knowledge representation using an object-oriented data model , 1997 .

[12]  Hirotoshi Shirasu,et al.  Integrating a state transition diagram with call processing program using a dataflow technique , 1997 .

[13]  L.L. Bello,et al.  Virtual Plant: a distributed environment for distance monitoring and control of industrial plants , 1997, Proceedings of IEEE International Conference on Intelligent Engineering Systems.

[14]  Munindar P. Singh,et al.  Readings in agents , 1997 .

[15]  Nicola Senin,et al.  Distribution modeling and evaluation of product design problems , 1998, Comput. Aided Des..

[16]  Ari-Pekka Hemeri,et al.  Product data management—exploratory study on the state-of-the-art in one-of-a-kind industry , 1998 .

[17]  Rajit Gadh,et al.  Geometric shape abstractions for internet-based virtual prototyping , 1998, Comput. Aided Des..

[18]  Henry C. W. Lau,et al.  A framework for developing an agent-based collaborative service-support system in a manufacturing information network , 1999 .

[19]  David Reilly,et al.  Java¿ Network Programming and Distributed Computing , 2002 .

[20]  Kazem Abhary,et al.  Knowledge-based tool for planning of enterprise resources in ASEAN SMEs , 2003 .

[21]  Hsin-Chang Yang,et al.  A text mining approach on automatic generation of web directories and hierarchies , 2004, Expert Syst. Appl..

[22]  Jaekyung Kim,et al.  Comparison of first order predicate logic, fuzzy logic and non-monotonic logic as knowledge representation methodology , 2004, Expert Syst. Appl..

[23]  Shu-Hsien Liao,et al.  Expert system methodologies and applications - a decade review from 1995 to 2004 , 2005, Expert Syst. Appl..

[24]  Weiming Shen,et al.  Agent-based distributed manufacturing process planning and scheduling: a state-of-the-art survey , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[25]  Zineb Simeu-Abazi,et al.  Monitoring and predictive maintenance: Modeling and analyse of fault latency , 2006, Comput. Ind..

[26]  Chi Fai Cheung,et al.  A knowledge‐based service automation system for service logistics , 2006 .

[27]  Gideon Halevi,et al.  Knowledge based manufacturing system (KBMS) , 2007, J. Intell. Manuf..

[28]  Yiming Rong,et al.  Computer-aided manufacturing planning for mass customization: part 1, framework , 2007 .

[29]  Berend Denkena,et al.  Knowledge Management in Process Planning , 2007 .

[30]  Hyun-Chan Lee,et al.  Generative CAPP through projective feature recognition , 2007, Comput. Ind. Eng..

[31]  Chun-Hsien Chen,et al.  MRM: A matrix representation and mapping approach for knowledge acquisition , 2008, Knowl. Based Syst..

[32]  Alain Bernard,et al.  Processing Knowledge to Support Knowledge-based Engineering Systems Specification , 2008, Concurr. Eng. Res. Appl..

[33]  Deyi Xue,et al.  A framework for generating product production information for mass customization , 2008 .

[34]  N. Li,et al.  An XML-based implementation of manufacturing route sheet documents for context-sensitive and web-based process planning , 2008, Int. J. Comput. Integr. Manuf..

[35]  M. Takao,et al.  Negotiation system considering personality by state transition diagram and text classification , 2008 .

[36]  Janus S. Liang.  The troubleshooting task implementation in automotive chassis using virtual interactive technique and knowledge-based approach , 2008, J. Netw. Comput. Appl..

[37]  Yi-Hsing Lin,et al.  Competition policy for technological innovation in an era of knowledge-based economy , 2008, Knowl. Based Syst..

[38]  J. S. Liang,et al.  Development for a web-based EDM laboratory in manufacturing engineering , 2009, Int. J. Comput. Integr. Manuf..

[39]  Y. Rao,et al.  An integrated knowledge based system for sheet metal cutting-punching combination processing , 2009, Knowl. Based Syst..

[40]  Paulo Leitão,et al.  Agent-based distributed manufacturing control: A state-of-the-art survey , 2009, Eng. Appl. Artif. Intell..

[41]  Deyi Xue,et al.  Rapid identification of the optimal product configuration and its parameters based on customer-centric product modeling for one-of-a-kind production , 2010, Comput. Ind..

[42]  Janus S. Liang,et al.  A Web-based automotive refrigeration troubleshooting system applying knowledge engineering approach , 2010, Comput. Ind..