Integrated distributed intelligent system architecture for incidents monitoring and diagnosis Export

@article{citeulike:5850541, abstract = {Fault diagnosis based on artificial intelligence (AI) technology is a significant domain of AI applications. Hazardous accidents and equipment failures always result in environmental pollution and poor product quality, and jeopardize the safety of equipment and human resources. As a result, accidents cost money, decrease productivity and profits. In this article, a generic integrated distributed intelligent system architecture for equipment monitoring, fault diagnosis and maintenance is discussed. The architecture consists of four individual modules: data calibration, condition monitoring, fault diagnosis, and maintenance assistance. It integrates different AI techniques such as heuristic reasoning, case-based reasoning and hypermedia. An industrial application using the architecture is presented.}, author = {Rao, M.}, citeulike-article-id = {5850541}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/S0166-3615(98)00090-6}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0166-3615(98)00090-6}, doi = {10.1016/S0166-3615(98)00090-6}, issn = {01663615}, journal = {Computers in Industry}, keywords = {backward\_chaining, distributed, forward\_chaining, intelligent\_system}, month = {September}, number = {2}, pages = {143--151}, posted-at = {2009-09-29 18:08:19}, priority = {0}, title = {Integrated distributed intelligent system architecture for incidents monitoring and diagnosis}, url = {http://dx.doi.org/10.1016/S0166-3615(98)00090-6}, volume = {37}, year = {1998} }

TY - JOUR ID - citeulike:5850541 L3 - citeulike-article-id:5850541 N2 - Fault diagnosis based on artificial intelligence (AI) technology is a significant domain of AI applications. Hazardous accidents and equipment failures always result in environmental pollution and poor product quality, and jeopardize the safety of equipment and human resources. As a result, accidents cost money, decrease productivity and profits. In this article, a generic integrated distributed intelligent system architecture for equipment monitoring, fault diagnosis and maintenance is discussed. The architecture consists of four individual modules: data calibration, condition monitoring, fault diagnosis, and maintenance assistance. It integrates different AI techniques such as heuristic reasoning, case-based reasoning and hypermedia. An industrial application using the architecture is presented. IS - 2 JF - Computers in Industry SN - 01663615 EP - 151 TI - Integrated distributed intelligent system architecture for incidents monitoring and diagnosis VL - 37 SP - 143 KW - backward_chaining KW - distributed KW - forward_chaining KW - intelligent_system AU - Rao, M PY - 1998/09// UR - http://dx.doi.org/10.1016/S0166-3615(98)00090-6 ER -