scholarly journals Error Analysis and Fault Diagnosis of CNC Machine Tools under Artificial Intelligence Technology

2021 ◽  
Vol 1881 (2) ◽  
pp. 022085
Author(s):  
Jun Wang
Keyword(s):  
Artificial Intelligence ◽  
Fault Diagnosis ◽  
Error Analysis ◽  
Machine Tools ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Artificial Intelligence Technology

CNC Machine Fault Diagnosis Strategy and Maintenance

2013 ◽  
Vol 722 ◽  
pp. 228-232 ◽  
Author(s):  
Gui Xing Fu
Keyword(s):  
Fault Diagnosis ◽  
Machine Tools ◽  
Statistical Data ◽  
Correct Diagnosis ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Control Logic ◽  
Cnc Lathe ◽  
Relationship Of ◽  
Logic Relationship

This paper introduces the Control logic relationship of CNC lathe, and combines with statistical data to discuss about how to scene forensics and failure analysis. And it uses fault diagnosis skills Maintenance examples to illustrate how to think when face with the failure of the CNC machine tools, which has guiding significance to the implementation of a correct diagnosis and maintenance of CNC machine tools.

Security System of CNC Machine Tools Based on Artificial Intelligence

2012 ◽  
Vol 271-272 ◽  
pp. 488-492
Author(s):  
Ji Ming Yan ◽  
Zhi Ping Guo ◽  
Hong Li Gao ◽  
Bei Bei Zheng ◽  
Yong Hong Dai ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Tool ◽  
Machine Tools ◽  
Fuzzy Neural Network ◽  
Security System ◽  
Cnc Machine Tools ◽  
Cnc Machine Tool ◽  
Cnc Machine ◽  
Key Technologies ◽  
Fuzzy Neural

This paper proposes to establish a CNC machine tool security system using artificial intelligence-based, and discusses the key technologies: the dynamic fuzzy neural network(DFNN), and based on this, describes an established security system of CNC machine tool.

Study on High-Grade CNC Machine Tool Wear Monitoring Methods and Experimental System

2012 ◽  
Vol 591-593 ◽  
pp. 1844-1848
Author(s):  
Min Huang ◽  
Xiu Li Liu ◽  
Le Yan
Keyword(s):  
Fault Diagnosis ◽  
Tool Wear ◽  
Machine Tools ◽  
High Speed ◽  
Experimental System ◽  
Milling Process ◽  
Test Method ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Monitoring Methods

Today, CNC machine tools are moving in the high-speed, high precision, heavy and complex processing of direction, leading to early failure in service due to machine performance, if not timely diagnosis and early warning, will result in waste increases, fluctuations in the quality, productivity decline.Therefore, to ensure reliable operation of CNC machine tools is very important.To build fault diagnosis of CNC machine tools and get test method as the goal, the tool wear experiments are carried out. Signals for cutting tool with different wear in milling process are detected，acquisited and analyzed through vibration sensors and acoustic emission sensors on the milling tools. To LabVIEW8.6 as development platform, a fault diagnosis experimental system of CNC machine tools is developed, including data acquisition module, signal analysis module, fault diagnosis module.

Research on Fault Diagnosis for Bearing of CNC Machine Tools

2012 ◽  
Vol 605-607 ◽  
pp. 713-717
Author(s):  
Bang Cheng Zhang ◽  
Xiao Jing Yin ◽  
Zhi Jie Zhou ◽  
Yu Ling Zhang
Keyword(s):  
Fault Diagnosis ◽  
Machine Tools ◽  
Cnc Machine Tools ◽  
Machining Efficiency ◽  
Bearing Failure ◽  
Analysis Method ◽  
Cnc Machine ◽  
Transmission Part ◽  
Machine Work ◽  
Reliable Basis

For the use of CNC machine tools is more and more extensive, its fault diagnosis research is becoming more and more important. Failure forms are diversified, and fault reasons are very complicated. Once bearing that is an important transmission part is in fault, the machining efficiency will decrease and affect process accuracy, even make the machine work abnormally. This paper presents a deep analysis of bearing failure mechanism using the wavelet analysis method identify its failure, specially the motor and transmission machine bearing, which provides reliable basis for fault diagnosis and forecast.

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