Abstract
A CNC machine tool is process control equipment integrating machine, electricity, and liquid, which makes its fault diagnosis complex and special due to its own advanced, complex, and intelligent characteristics. Traditional diagnostic methods rely on the engineering experience of technical personnel, which incorporates human subjective factors, and can only perform qualitative analysis, resulting in low diagnostic efficiency. And through a single sensor to detect and diagnose the machine tool, the accuracy and credibility of the decision are low, and the system is also weak against interference. In this paper, we first summarize the composition and working principle of CNC machine tools and analyze the working condition signals generated by CNC machine tools and the sensors that collect the signals and decide to use a multisensor multisignal fusion‐based approach to monitor the machine tool status. It is possible to obtain more effective and valuable information from the observed information through multiple sensors so that the goal of fusion can be achieved. In this paper, a multisensor fusion technique based on wavelet transform and neural network fusion is applied to a machine tool condition monitoring system. The theoretical basis of wavelet analysis and neural network is introduced, and the composition of the condition monitoring system and the process of applying multisensor fusion technology based on wavelet analysis and neural network in the condition monitoring system are given. A complete software and hardware system for online monitoring of CNC machine tools is established. In order to improve the accuracy of the mathematical model, the use of a neural network to fit the nonlinear data and the use of coarse set theory to simplify the relevant data can effectively solve the accurate establishment of the mathematical model in the error compensation method. The thermal error compensation method for CNC machine tools is proposed based on rough set theory, ant colony algorithm, and neural network. This paper first investigates the current development of error compensation technology for CNC machining centers, analyzes the various error sources of CNC machine tools, and finds out the influencing factors affecting the errors of CNC machine tools.
Highlights
With the development of science and technology and the explosive growth of information, all walks of life, as the foundation of the manufacturing industry, are flourishing [1]
This paper mainly focuses on the study of thermal errors, so the focus is on reducing thermal errors using error compensation methods and error prevention methods
Based on the above reasons, we propose to optimize the grouping of CNC machine tool thermal errors to establish a mathematical model
Summary
With the development of science and technology and the explosive growth of information, all walks of life, as the foundation of the manufacturing industry, are flourishing [1]. The fusion system of information after multisensor information will have a great advantage compared with the system processed by only a single sensor, and the former will reflect the real-time status of the measured object more accurately and collect the status information of the measured object more comprehensively [8] At this stage, the systematic research on multisensor information fusion technology is not very well developed. In addition to the above, the accuracy of the sensors, the speed of computer computing, and human factors and other practical reasons lead to a lack of comprehensive research on such technologies, and in the past, when studying multisensor information fusion systems, less consideration was given to modularity, a high degree of integration, versatility, and applicability in all fields [9]. The purpose of this thesis research is to build the mathematical model of the thermal error compensation system of CNC machine tools, to realize the compensation correction of the thermal error of CNC machine tools through software compensation technology, so as to improve the accuracy of CNC machine tool processing through software technology, and to accomplish the achievement of processing a high precision product on a machine tool with low accuracy level and to realize the virtuous cycle of machining accuracy
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