Fault detection and diagnosis using neural network design

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3973 LNCS, Issue , 2006, Pages 364-369

  Tan, Kok Kiong ^a   Huang, Sunan ^a   Lee, Tong Heng ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER AIDED DESIGN; COMPUTER SCIENCE; COMPUTER SIMULATION; ERROR CORRECTION; FAULT TOLERANT COMPUTER SYSTEMS;

BUILT ON-LINE; FAULT DETECTION; FAULT DIAGNOSIS; NORMAL MODE;

NEURAL NETWORKS;

EID: 33745906509     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11760191_54     Document Type: Conference Paper

References (4)

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3. Isermann,R., Ayoubi,M., Konrad,H., Reiß,T.: Model Based Detection of Tool Wear and Breakage for Machine Tools. In: Int. Conf. on Syst. Man & Cyber. Vol. 3. Le Touquet (1993)72-77
4. Colbaugh,R., Glass,K.: Real-time Tool Wear Estimation Using Recurrent Neural Networks. In: Proc. of the 1995 IEEE Int. Symp. on Intelligent Contr. Monterey, USA (1995) 357-362