The article presents a description of a method for the qualitative evaluation of the renewal process of a repairable technical object in a maintenance system with an artificial neural network. The basis for the proposed evaluation of the maintenance system is the determined feature spaces of the operational properties of a new technical object and one after renewal in the maintenance system. For this purpose, a nominal (reference) space of the technical object’s operational features and a space of the current operational features of the technical object were defined. The analysis evaluates the level of the object’s operational features after renewal in relation to the level of the operational features of a new object as a reference. The resulting differences in distance metrics between these spaces directly indicate errors in the organization process of the technical object’s maintenance system.AN ESTEIMATE OF THE REGENERATION PROCESS OF THE OBJECT’S OPERATIONAL PROPERTIES IN A MAINTENANCE SYSTEM WITH AN ARTIFICIAL NEURAL NETWORK
The present article includes a description of a qualitative evaluation of the regeneration process of a reparable technical object in a maintenance system with an artificial neural network. The delineated spaces of the operational features of a new technical object and of a technical object after regeneration in a maintenance system constitute the basis of the evaluation proposed of a maintenance system. For this purpose, the nominal (model) space of the operational features of a technical object as well as the space of the current operational features of a technical object was defined. An analysis covered the level of the object’s operational features after regeneration had been performed in relation to the level of the operational features of a new object as a model.
The resulting differences between the metrics of distances between these spaces directly indicate errors in the organization process of the maintenance system of a technical object. (…)
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Source: Logistyka Magazine