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A Remote Diagnosis System of Numerical Control Equipment Based on Neural Network
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A neural network and remote diagnosis technology is applied in the field of remote diagnosis system of CNC equipment, which can solve the problems of low maintenance efficiency and long detection time of CNC machine tools.
Active Publication Date: 2021-04-27
NINGBO DAHONGYING UNIV
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[0005] The main purpose of the present invention is to provide a remote diagnosis system for CNC equipment based on neural network, which solves the problems of long detection time and low maintenance efficiency of CNC machine tools
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[0037] A neural network-based remote diagnosis system for CNC equipment, basically as figure 1 As shown, including the server, the server includes the following modules:
[0038] Parameter collection module: used to obtain model parameters and operating parameters of CNC machine tools;
[0039] Preliminary diagnosis module: used for preliminary diagnosis of the CNC machine tool according to the operating parameters, analyzing whether the CNC machine tool is normal or faulty, and marking the operating parameters as faulty operating parameters when the CNC machine tool is initially diagnosed as faulty;
[0040] In-depth diagnosis module: used to import fault operating parameters into the established neural network fault diagnosis model for diagnosis, and output fault diagnosis results; the diagnosis results include fault types of CNC machine tools normal and CNC machine faults; neural network fault diagnosis model Construct based on BP neural network, collect data sample sets f...
Embodiment 2
[0051] The difference between the embodiment and the first embodiment is that the construction method of the shown neural network fault diagnosis model is as follows,
[0052] Step 1: Determine the input and output vectors:
[0053] According to the construction principle of the Boolean matrix, it is defined that in the fault diagnosis, there are m characteristic parameters, that is, the input characteristic vector P=(s 1 ,s 2 ,...,s m ), there are n fault types to be identified, that is, the output feature vector Q=(r 1 ,r 2 ,...,r n );
[0054] Step 2: Select the number of network layers: use a three-layer BP neural network, which are input layer, hidden layer, and output layer; according to the input feature vector and output feature vector described in step 1, determine the number of neurons in the input layer as a , where a=m, the number of neurons in the output layer is b, where b=n;
[0055] Step 3: Calculate the number of neurons in the hidden layer: the number ...
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Abstract
The present invention relates to the technical field of operation and maintenance of numerical control devices, in particular to a neural network-based remote diagnosissystem for numerical control equipment, including a server, which includes the following modules: parameter acquisition module: used to obtain model parameters and operating parameters of numerical controlmachine tools; Preliminary diagnosis module: used for preliminary diagnosis of CNC machine tools based on operating parameters, analyzing whether the CNC machine tool is normal or faulty, and marking the operating parameters as faulty operating parameters when the CNC machine tool is initially diagnosed as faulty; in-depth diagnostic module: It is used to import the fault operation parameters into the established neural network fault diagnosis model for diagnosis; the solution screening module: used to find the solution technical solutions for the fault; the fault information feedback module: used to remotely send the detection results of the fault type and the technical solutions Send it to the on-site maintenance personnel of the machine tool. The invention solves the problems of long detection time and low maintenance efficiency of the numerical control machine tool.
Description
technical field [0001] The invention relates to the technical field of operation and maintenance of numerical control devices, in particular to a remote diagnosissystem for numerical control equipment based on a neural network. Background technique [0002] CNC machine tool is the abbreviation of numerical control machine tool, which is an automatic machine tool equipped with a program controlsystem. It has the advantages of high flexibility, high processing precision, stable and reliable processing quality, and high productivity. The many advantages also lead to the increasingly complex structure of CNC machine tools and the higher degree of automation, which makes the fault diagnosis of CNC machine tools more difficult. Due to the existence of many uncertain factors in the manufacturing site, various failures will inevitably occur during the operation of CNC machine tools. [0003] Fault diagnosis and maintenance of CNC machine tools is a very important part of the pro...
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