A theory of diagnosis from first principles
Artificial Intelligence
Artificial Intelligence
Introduction to mathematical systems theory: a behavioral approach
Introduction to mathematical systems theory: a behavioral approach
On an Optimization Problem in Sensor Selection
Discrete Event Dynamic Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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
Sensor Placement for Fault Diagnosis
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Sensor location and classification for disturbance rejection by measurement feedback
Automatica (Journal of IFAC)
A method for quantitative fault diagnosability analysis of stochastic linear descriptor models
Automatica (Journal of IFAC)
Hi-index | 22.15 |
An algorithm is proposed for computing which sensor additions make a diagnosis requirement specification regarding fault detectability and isolability attainable for a given linear differential-algebraic model. Restrictions on possible sensor locations can be given, and if the diagnosis specification is not attainable with any available sensor addition, the algorithm provides the solutions that maximize specification fulfillment. Previous approaches with similar objectives have been based on the model structure only. Since the proposed algorithm utilizes the analytical expressions, it can handle models where structural approaches fail.