AI in Equipment Maintenance and Support

Contents

• RISO: An Implementation of Distributed Belief Networks

  R. Dodier

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• Concurrent Engineering Perspective of Maintenance Aspects Through an Expert System Prototype

  J. da Silva

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• From Free-Text Repair Action Messages to Automated Case Generation

  B. Farley

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• Warranty and Maintenance Decision Making for Gas Turbines

  S. Chao, Z. Lee and A. Agogino

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• Fault Propagation Using Fuzzy Cognitive Maps

  O. Kipersztok

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• Intelligent Knowledge Extraction from Service Notes for Equipment Diagnostics Support

  J. Varma and V. Ramani

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• Automated Diagnosis for Facility HVAC Systems

  R. Ganeshan, L. Johnson, and R. Henderson

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• A Web-Based Intelligent Hybrid System for Fault Diagnosis

  G. Jha, S. Hui and S. Foo

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• Fault Prognosis Using Dynamic Wavelet Neural Networks

  P. Wang and G. Vachtsevanos

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• Case-Based Troubleshooting Knowledge Management

  K. Gupta

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• Towards Fuzzy Belief Nets

  K. Goebel and A. Agogino

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• Distributed Equipment Monitoring with Multiply Sectioned Bayesian Networks

  Y. Xiang and H. Geng

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• Practical Optimization Considerations For Diagnostic Knowledge Representation

  P. Cornwell, J. Suermondt, G. Forman, E. Kirshenbaum and A. Seetharaman

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• Acquisition and Transformation of Likelihoods to Conditional Probabilities for Bayesian Networks

  C. Skaaning, F. Jensen, U. Kjaerulff, and A. Madsen

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• Unsupervised Rule Generation for Maintenance of a Diagnostic System

  V. Ramani

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• Soft Computing Techniques for Diagnostics and Prognostics

  P. Bonissone and; K. Goebel

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• The Integrated Diagnostic System (IDS): Remote Monitoring and Decision Support for Commercial Aircraft – Putting Theory into Practice

  M. Halasz, F. Dube, B. Orchard, and R. Ferland

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• Integrated Diagnosis for Future Mobile Systems

  B. Bäker and T. Forchert

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• Industrial Diagnosis by Hyperspace Data Mining

  N. Chen, D. Zhu, and W. Wang

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