Research on remote state monitoring and intelligent maintenance system of CNC machine tools

Autor: Wensheng Qiao, Guoxin Wu, Yuhai Gu, Yunbo Zuo, Hongjun Wang
Rok vydání: 2019
Předmět:
business.product_category
Computer science
Reliability (computer networking)
0211 other engineering and technologies
Energy Engineering and Power Technology
020101 civil engineering
cnc machine tools
maintenance knowledge base
02 engineering and technology
Fault (power engineering)
Maintenance engineering
0201 civil engineering
intelligent maintenance level
remote state monitoring
machine tools
real-time state data
021103 operations research
business.industry
General Engineering
fault diagnosis
intelligent maintenance system
computerised numerical control
Reliability engineering
Machine tool
maintenance information
Knowledge base
lcsh:TA1-2040
high-grade computer numerical control machine tools
machine tool
Numerical control
Intelligent maintenance system
computerised monitoring
State (computer science)
maintenance engineering
dynamic monitoring data
lcsh:Engineering (General). Civil engineering (General)
business
Software
maintenance method
Zdroj: The Journal of Engineering (2019)
ISSN: 2051-3305
Popis: In order to improve the operation reliability of high-grade computer numerical control (CNC) machine tools and reduce the maintenance time of failures, the remote state monitoring and intelligent maintenance system for CNC machine tools was proposed. Through collecting the basic information of equipment, maintenance information, and the information of the vibration, temperature, main current and power of the machine tool based on soft-bus technology, the system analysed the real-time state data, got the reliability parameters, extracted the fault features and established the maintenance knowledge base. Combining the dynamic monitoring data and static data, the system evaluated the key parts of machine tools. By the fault knowledge base, the system analysed the reason for failure and recommended the maintenance method. With the function modules, the system can improve the intelligent maintenance level of CNC machine tools and improve the using efficiency of machine tools.
Databáze: OpenAIRE
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