Diagnostic reasoning based on structure and behavior
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
A theory of diagnosis from first principles
Artificial Intelligence
Artificial Intelligence
Fault diagnosis in dynamic systems: theory and application
Fault diagnosis in dynamic systems: theory and application
Automatica (Journal of IFAC)
Join processing in relational databases
ACM Computing Surveys (CSUR)
Diagnosis with behavioral modes
Readings in model-based diagnosis
What's in SD?: Towards a theory of modeling for diagnosis
Readings in model-based diagnosis
Causality and model abstraction
Artificial Intelligence
A relational model of data for large shared data banks
Communications of the ACM
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Constraint Processing
Hierarchical model-based diagnosis based on structural abstraction
Artificial Intelligence
Diagnosis and Fault-Tolerant Control
Diagnosis and Fault-Tolerant Control
A semantic theory of abstractions
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Diagnosability Analysis Based on Component-Supported Analytical Redundancy Relations
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
An Efficient Algorithm for Finding Minimal Overconstrained Subsystems for Model-Based Diagnosis
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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In complex industrial plants, there are usually many sensors and the modeling of plants leads to lots of mathematical relations. This paper presents a general method for finding all the possible testable subsystems, i.e., sets of relations that can lead to various types of detection tests. This method, which is based on structural analysis, provides the constraints that have to be used for the design of each detection test and manages situations where constraints contain non-deductible variables and where some constraints cannot be gathered in the same test. Thanks to these results, it becomes possible to select the most interesting testable subsystems regarding detectability and diagnosability criteria. Application examples dealing with a road network, a digital counter and an electronic circuit are presented.