Development of an Artificial Neural Network for Information and Measurement System for Controlling the Geometric Dimensions of Power Equipment
Year: 2025
Type: article
Abstract: The paper deals with the development of an artificial neural network for compensating for nonkinematic errors of an information and measurement system (IMS) based on a coordinate measuring arm (CMA). After compensating for kinematic errors using a mathematical model, the proposed back-propagation neural network corrects non-kinematic errors arising from thermal deformations, noise, and element deformation inaccuracies. Experimental studies conducted on synthetic data demonstrated a significant reduction in the mean square error (MSE) of the coordinates of the measured points and a decrease in measurement uncertainty. The model exhibited high accuracy and stability, which confirms its effectiveness for controlling the geometric parameters of energy equipment. Keywords: artificial neural network, error back propagation, error compensation, information and measurement system, coordinate measuring arm, geometric parameters, modeling.
Source: System Research in Energy
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4408156325