INTELLIGENT ANALYSIS AND DATA PROCESSING OF PARTS GRINDING QUALITY USING NEURONET TECHNOLOGIES
Abstract and keywords
Abstract (English):
An intelligent analysis and processing of data files of amplitude and phase channels of eddy current testing in parts grinding with the use of neural networks of the structure of a multilayer perceptron was considered. The modeling of a neural network of the structure of a multilayer perceptron is carried out which is a solution of the problem of large data files processing regarding quality of parts allowing the crea-tion of a more efficient automated system of monitor-ing and the connection in a single information area of the subsystem of parts control, control and manage-ment of a technological system, the decrease of cost price of quality control, the coverage of a larger sampling volume of parts under control and the increase the efficiency of a technological system control in manufacturing high-accuracy bearing parts. A program realization of the information-measuring channel of eddy current testing as a part of an expert system of decision-making support in the environment of SCADA-system TRACE MODE 6 is presented. The special-purpose developed software Image is designed for the visualization in an online mode, an automated collection, and the analysis and information storage of eddy current testing.

Keywords:
intelligent data analysis, neural network, defect identification, perceptron, rolling surface, bearing, eddy current testing
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References

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