Sensor placement for fault isolation in linear differential-algebraic systems
Automatica (Journal of IFAC)
Adaptive audio-based context recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
An obstacle-free and power-efficient deployment algorithm for wireless sensor networks
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Dynamic multiple-fault diagnosis with imperfect tests
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on model-based diagnostics
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)
Automated design of an FDI system for the wind turbine benchmark
Journal of Control Science and Engineering
Qualitative order of magnitude energy-flow-based failure modes and effects analysis
Journal of Artificial Intelligence Research
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An algorithm is developed for computing which sensors to add to meet a diagnosis requirement specification concerning fault detectability and fault isolability. The method is based only on the structural information in a model, which means that possibly large and nonlinear differential-algebraic models can be handled in an efficient manner. The approach is exemplified on a model of an industrial valve where the benefits and properties of the method are clearly shown.