Diagnosis of Linear Dynamic Systems: An Approach Based on Sliding Mode Observers
Alexey Zhirabok, Alexander Zuev, A. E. Shumsky
Abstract
The problem of functional diagnosis of technical systems described by linear dynamic models under disturbances is considered. For solving the problems of detection, isolation and identification of faults, a method based on sliding mode observers is used. Modifications of this method for relaxing the implementation constraints in comparison with the well-known results and also for reducing the complexity of diagnostic tools are proposed.
Topics & Concepts
Identification (biology)Isolation (microbiology)Mode (computer interface)Control theory (sociology)Computer scienceLinear systemFault detection and isolationControl engineeringMathematicsEngineeringArtificial intelligenceControl (management)BiologyActuatorMathematical analysisBotanyOperating systemMicrobiologyFault Detection and Control SystemsAdvanced Data Processing TechniquesMineral Processing and Grinding