AI in Equipment Maintenance and Support
Papers from 1999 AAAI Spring Symposium
Kai Goebel, Program Cochair
Technical Report SS-99-04 published by The AAAI Press, Menlo Park, California. This technical report is also available in book and CD format.
Contents
Integrated Diagnosis for Future Mobile Systems / 1
B. Bäker and T. Forchert, DaimlerChrysler AG
Concurrent Engineering Perspective of Maintenance Aspects Through an Expert System Prototype / 9
J. da Silva, Federal University of Santa Catarina, Brazil
Distributed Equipment Monitoring with Multiply Sectioned Bayesian Networks / 18
Y. Xiang and H. Geng, University of Regina
RISO: An Implementation of Distributed Belief Networks / 26
R. Dodier, University of Colorado
Acquisition and Transformation of Likelihoods to Conditional Probabilities for Bayesian Networks / 34
C. Skaaning, F. Jensen, U. Kjaerulff, and A. Madsen, HP & Aalborg University, Denmark
Automated Diagnosis for Facility HVAC Systems / 41
R. Ganeshan, L. Johnson, and R. Henderson, USC ISI, USC Facilities
Condition-Based Monitoring of Motor-Pump Systems Using Model-Based Reasoning / 47
Y. Chen and G. Provan, Rockwell
Fault Propagation Using Fuzzy Cognitive Maps / 55
O. Kipersztok, Boeing
Towards Fuzzy Belief Nets / 60
K. Goebel and A. Agogino, GE CR&D, UC Berkeley
Soft Computing Techniques for Diagnostics and Prognostics / 68
P. Bonissone and; K. Goebel, GE CR&D
Case-Based Troubleshooting Knowledge Management / 82
K. Gupta, CaseBank Technologies Inc.
The Integrated Diagnostic System (IDS): Remote Monitoring and Decision Support for Commercial Aircraft - Putting Theory into Practice / 88
M. Halasz, F. Dube, B. Orchard, and R. Ferland, National Research Council of Canada and Air Canada
A Web-Based Intelligent Hybrid System for Fault Diagnosis / 95
G. Jha, S. Hui and S. Foo, Nanyand Technological University, Singapore
Industrial Diagnosis by Hyperspace Data Mining / 103
N. Chen, D. Zhu, and W. Wang, Zaptron Systems, Inc. and Salomon Smith Barney
From Free-Text Repair Action Messages to Automated Case Generation / 109
B. Farley, National Research Council of Canada
Practical Optimization Considerations For Diagnostic Knowledge Representation / 119
P. Cornwell, J. Suermondt, G. Forman, E. Kirshenbaum and A. Seetharaman, HP
Intelligent Knowledge Extraction from Service Notes for Equipment Diagnostics Support / 127
J. Varma and V. Ramani, GE CR&D
Fault Prognosis Using Dynamic Wavelet Neural Networks / 132
P. Wang and G. Vachtsevanos, Georgia Institute of Technology
Warranty and Maintenance Decision Making for Gas Turbines / 140
S. Chao, Z. Lee and A. Agogino, UC Berkeley
Unsupervised Rule Generation for Maintenance of a Diagnostic System / 146
V. Ramani, GE CR&D
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