Title :
Machine Learning Of Rules For Fault Diagnosis In Electrical Power Network
Author_Institution :
Nanyang Technological University
Keywords :
Artificial intelligence; Diagnostic expert systems; Electrical fault detection; Fault diagnosis; Intelligent networks; Knowledge acquisition; Machine learning; Power engineering and energy; Protection; SCADA systems;
Conference_Titel :
Emerging Technologies and Factory Automation, 1992. IEEE International Workshop on
Print_ISBN :
0-7803-0886-7
DOI :
10.1109/ETFA.1992.683236
