[PDF] A connectionist expert system for fault diagnosis | Semantic Scholar Skip to search formSkip to main content> Semantic Scholar's Logo Search Sign InCreate Free Account You are currently offline. Some features of the site may not work correctly. DOI:10.1016/0378-7796(92)90076-D Corpus ID: 36916022A connectionist expert system for fault diagnosis @article{Chen1992ACE, title={A connectionist expert system for fault diagnosis}, author={J. Chen and C. Chen}, journal={Electric Power Systems Research}, year={1992}, volume={24}, pages={99-103} } J. Chen, C. Chen Published 1992 Engineering Electric Power Systems Research Abstract The design of a connectionist expert system for the fault diagnosis of a distribution system is proposed. The heuristic rules acquired from distribution dispatchers' experiences are incorporated into the connectionist network which can be utilized as the expert system knowledge base. The data sets used to train the connectionist network are the current waveforms recorded upon the occurrence of miscellaneous faults. The interconnection weights of this network are adjusted by the back… Expand View via Publisher ntur.lib.ntu.edu.tw Save to Library Create Alert Cite Launch Research Feed Share This Paper 6 CitationsHighly Influential Citations 1 Background Citations 1 Methods Citations 1 View All Figures and Tables from this paper figure 2 table 2 figure 3 figure 4 figure 5 figure I View All 6 Figures & Tables 6 Citations Citation Type Citation Type All Types Cites Results Cites Methods Cites Background Has PDF Publication Type Author More Filters More Filters Filters Sort by Relevance Sort by Most Influenced Papers Sort by Citation Count Sort by Recency A new connectionist expert system scheme for distribution system fault diagnosis N. Rao, J. Chen, W. C. Chan Engineering 1994 Proceedings of Canadian Conference on Electrical and Computer Engineering 1994 2 Save Alert Research Feed Intelligent Approach for Fault Diagnosis in Power Transmission Systems Using Support Vector Machines R. B., Thukaram Dhadbanjan, H. Khincha Engineering 2007 8 Save Alert Research Feed A symptom-driven fuzzy system for isolating faults J. Chen, R. Tsai, H.-W. Tzeng Computer Science [Proceedings] 1992 IEEE International Conference on Systems, Man, and Cybernetics 1992 3 Save Alert Research Feed Online expert systems for fault diagnosis in technical processes C. Angeli Computer Science Expert Syst. J. Knowl. Eng. 2008 32 Save Alert Research Feed Object-oriented expert systems for fault diagnosis Shao-Hung Chang, Muh-Shenq Lin, Hung-Fa Sun, J. Chen Computer Science Proceedings of IEEE Systems Man and Cybernetics Conference - SMC 1993 1 Save Alert Research Feed Hybrid expert systems: A survey of current approaches and applications Seda Sahin, M. Tolun, R. Hassanpour Computer Science Expert Syst. Appl. 2012 112 Highly Influenced PDF View 11 excerpts, cites methods and background Save Alert Research Feed References SHOWING 1-10 OF 17 REFERENCES SORT BYRelevance Most Influenced Papers Recency A logic programming approach to fault diagnosis in distribution ring networks K. Wong, C. Tsang Engineering 1988 18 Save Alert Research Feed A neural network approach to the detection of incipient faults on power distribution feeders S. Ebron, D. Lubkeman, M. W. White Engineering 1990 195 Save Alert Research Feed An Expert System for Fault Section Estimation Using Information from Protective Relays and Circuit Breakers C. Fukui, Junzo Kawakami IEEE Transactions on Power Delivery 1986 251 Save Alert Research Feed Artificial Neural-Net Based Dynamic Security Assessment for Electric Power Systems D. Sobajic, Y. 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Gallant Computer Science CACM 1988 689 Save Alert Research Feed ... 1 2 ... Related Papers Abstract Figures and Tables 6 Citations 17 References Related Papers Stay Connected With Semantic Scholar Sign Up About Semantic Scholar Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI. Learn More → Resources DatasetsSupp.aiAPIOpen Corpus Organization About UsResearchPublishing PartnersData Partners   FAQContact Proudly built by AI2 with the help of our Collaborators Terms of Service•Privacy Policy The Allen Institute for AI By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License ACCEPT & CONTINUE