
handle: 11012/137306
The article presents methodology for application of information theory for selection of hydraulic system diagnostic parameters. Changes in technical state of the system are accompanied by a set of symptoms. Method of determining information value of each symptom by information theory is presented. A set of technical conditions and set of symptoms for a simple hydraulic system are determined. Matrix of technical state describing relations between technical conditions and symptoms is constructed. The four symptoms are determined by matrix analysis with use of information theory. These symptoms are chosen as diagnostic parameters and provide the most information about technical state of the hydraulic system.
matrix of technical state, hydraulic system, diagnostic parameter selection, diagnostic symptom, entropy, technical condition, information theory
matrix of technical state, hydraulic system, diagnostic parameter selection, diagnostic symptom, entropy, technical condition, information theory
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