Detecting and Resolving Errors in Manufacturing Systems
Papers from the 1994 AAAI Spring Symposium Series
Maria Gini, Program Chair
Technical Report SS-94-04. Published by The AAAI Press, Menlo Park, California. This technical report is also available in book and CD format.
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Contents
Intelligent Error Recovery in Flexible Production Systems / 1
Emmanuel D. Adarnides, Ekaterin C. Yamalidou, and Dominique Bonvin, Ecole Polytechnic Federale de Lausanne, Switzerland
Communication Protocols and Failure Semantics in a Material-Driven Intelligent Manufacturing System / 7
Anders Adlemo and Sven-Ame Andreasson, Chalmers University of Technology
Reliability Analysis: System Models / 12
Jeffrey Bamen, Northrop Corlooration
A Method for Implementing AI-based Control in a Manufacturing Workcell Using a Biological Model / 17
Robert Borchelt, University of Wisconsin at Milwaukee
The Supervisory Control of Automated Manufacturing Systems: A Discrete Event Systems Approach / 19
Bertil A. Brandin, University of Toronto
Monitoring the Execution of Sensory Robot Programs / 21
Vincenzo Caglioti, Massimo Danieli, and Domenico Sorrenti, Politecnico of Milano
Two Years On-line: A Dynamic Scheduler for a Hot Steel Mill / 27
Virginio Chiodini, Gensym Corporation
Active Rescheduling for Goal Maintenance in Dynamic Manufacturing Systems / 33
Ame F. Claassen, Ruby D. Lathon, Daniel M. Rochowiak, and Leslie D. Interrante, University of Alabama in Huntsville
Attention Focusing and Anomaly Detection in Systems Monitoring / 39
Richard Doyle, California Institute of Technology
Comparing a Neural-Fuzzy Scheme with a Probabilistic Neural Network for Applications to Monitoring and Diagnostics in Manufacturing Systems / 45
Kai Goebel, Bill Wood, Alice Agogino, and Punit Jain, University of California at Berkeley
Predictive Computing for Error Detection in Manufacturing Applications / 51
David Goldstein, North Carolina State University
A Learning-Based Diagnostics Approach for Manufacturing Systems / 53
James Graham, University of Louisville
The Effect of the Product Cost Factor on Error Handling in Industrial Robotics / 59
Nigel Hardy and Mark Lee, University of Wales
Fault Monitoring in Manufacturing Systems Using Concurrent Discrete-Event Observations / 65
Larry Holloway and Sujeet Chand, University of Kentucky and Rockwell Science Center
Integrating Failure Recovery with Planner Debugging / 70
Adele Howe, Colorado State University in Fort Collins
Dynamic Sensor Policies / 74
Kun Krebsbach and Maria Gini, Shippensburg University and University of Minnesota
Sensor-based Monitoring for Real-Time Quality Control in Manufacturing / 81
Soundar R. T. Kumara, Sagar V. Kamarthi, Satishmohan Bukkapatnam, and Jinwhan Lee, Pennsylvania State University
System Reliability and Risk Assessment: A Quantitative Extension of IDEF Methodologies / 88
Andrew Kusiak and Nick Larson, University of Iowa
Error Recovery in Automation--An Overview / 94
Peter Loborg, Linkoping University
Manufacturing Control System Principles Supporting Error Recovery / 101
Peter Loborg and Anders Tome, Linkoping University
Adaptive Planning: An Approach that Views Errors As Assumption Failures / 109
Damian Lyons and A. J. Hendricks, Philips Electronics
A Practical Methodology for Generating Diagnosis and Recovery Applications in Large-Scale Plants / 116
Samir Padalkar, Gabor Karsai, Janos Sztipanovits, and Frank DeCaria, Vanderbilt University and DuPont
Integrated Control and Diagnostics in Discrete Event Dynamic Systems with Hierarchical Time-Extended Petri Nets / 121
S. Ramaswamy and Kimon P. Valavanis, University of Southwestem Louisiana
Robust Strategies for Diagnosing Manufacturing Defects / 129
Nancy Reed, University of Minnesota
Model-Based Diagnostics for the Supervisory Control of Manufacturing Systems / 134
R. A. Williams, B. Benhabib, and K. C. Smith, University of Toronto
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