The control system of technical state of technological mechatronic objects using neural network of state analysis
Abstract
The control system of technical state of technological mechatronic objects using neural network of state analysis
Incoming article date: 13.12.2019The article presents a system for monitoring the technical condition of technological mechatronic objects using a neural network of state analysis. The aim of the work is to increase the reliability of the equipment, reduce the number of sudden failures and emergencies by assessing the dynamic state of the spindle unit of the mechatronic technological object. A method for diagnosing the state of the spindle unit of a mechatronic object using a neural network based on the time domain features of vibration signals is proposed and applied. The structure of the neurosystem is proposed. The data obtained during practical tests, as well as the structure of the neural network for diagnosing the state of technological mechatronic objects, are presented.
Keywords: state control, mechatronic object, neural network, spindle unit, vibration signal, time domain features