Processing quality virtual measurement method, system, medium and equipment

Abstract

The invention discloses a processing quality virtual measurement method and system, a medium and equipment, and the method comprises the steps: recording process parameters and surface roughness actual measurement results during part processing, and constructing a historical sample input and output data pair; establishing a virtual measurement model based on a fuzzy width learning system; performing feature selection on the intermediate layer feature vector by using a binary grey wolf intelligent optimization method; utilizing ridge regression to optimize a connection weight between the middle layer and the output layer which are subjected to feature selection; constructing a loss function; gradually increasing the number of fuzzy subsystems, fuzzy rules and enhancement layer nodes in the feature layer to carry out iterative training, and when a loss function reaches a minimum value, storing an optimal weight parameter of a fuzzy width learning system; and performing data standardization preprocessing on the sample data of the newly processed part, and then performing model output calculation by using the optimal weight parameter to realize virtual measurement of the surface roughness of the processed part. According to the invention, the dimensionality of the training sample of the fuzzy width learning system is reduced, and the prediction precision of the virtual measurement model is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of virtual measurement of processing quality of parts, and in particular relates to a virtual measurement method, system, medium and equipment of processing quality. Background technique [0002] With the continuous progress of science and technology and the rapid development of economy, market competition is becoming increasingly fierce, and the quality of parts processing has become a key factor affecting machine tool companies to participate in market competition. In the actual machining process of CNC machine tools, there are many factors affecting the machining quality of parts, and the various influencing factors are coupled with each other, so it is difficult to establish a more accurate dynamic change mechanism model of machining quality of parts. Most manufacturers use traditional off-line or on-line sampling methods for quality inspection, which not only cannot guarantee the quality of all processe...

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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a virtual measurement method, system, medium and equipment for processing quality in view of the deficiencies in the above-mentioned prior art, so as to realize the virtual measurement of the processing quality of parts and improve the prediction accuracy of the model. To a certain extent, it solves the problems of low prediction accuracy, "dimension disaster" and "rule explosion" in the existing technology

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