Fault Diagnosis Model Based on Multi-level Information Fusion for CNC Machine Tools

2016 ◽  
Vol 9 (8) ◽  
pp. 367-376
Author(s):  
Wen Yan ◽  
Tan Ji-wen ◽  
Zhan Hong ◽  
Sun Xian -bin
2013 ◽  
Vol 722 ◽  
pp. 228-232 ◽  
Author(s):  
Gui Xing Fu

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.


2012 ◽  
Vol 591-593 ◽  
pp. 1844-1848
Author(s):  
Min Huang ◽  
Xiu Li Liu ◽  
Le Yan

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.


2012 ◽  
Vol 605-607 ◽  
pp. 713-717
Author(s):  
Bang Cheng Zhang ◽  
Xiao Jing Yin ◽  
Zhi Jie Zhou ◽  
Yu Ling Zhang

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.


2013 ◽  
Vol 819 ◽  
pp. 136-139
Author(s):  
Lu Yang Jing ◽  
Tai Yong Wang ◽  
Dong Xiang Chen ◽  
Jing Xiang Fang

With the development of network technology and fault diagnosis technology, monitoring and diagnosis methods for the CNC machine tools had a great change. In this paper, an online monitoring and remote diagnosis system for CNC machine tools was built. The system was consisted of the multi-channel online acquisition system and remote fault diagnosis system. The online acquisition system achieved a real-time monitoring for CNC machine tools. The remote fault diagnosis system provided the management of devices and assistant for experts to analyze data which was uploaded from acquisition system. The system offered real-time state information of CNC machine tools and reduced downtime of machine effectively.


2017 ◽  
Vol 30 (5) ◽  
pp. 2193-2202 ◽  
Author(s):  
Yingzhi Zhang ◽  
Liming Mu ◽  
Guixiang Shen ◽  
Yang Yu ◽  
Chenyu Han

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