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Chasing the Cut: A Measurement Approach for Machine Tool Condition Monitoring
被引:15
作者:
Huchel, Lukasz
[1
]
Krause, Thomas C.
[1
]
Lugowski, Tomasz
Leeb, Steven B.
[1
]
Helsen, Jan
[2
]
机构:
[1] MIT, Dept Elect Engn & Comp Sci, Cambridge, MA 02139 USA
[2] Vrije Univ Brussel, OWI Lab, B-1050 Brussels, Belgium
关键词:
Cyclostationarity;
diagnostics;
integrated electronic piezoelectric (IEPE);
Internet of things (IoT);
spectral coherence;
tool condition monitoring (TCM);
WiFi;
D O I:
10.1109/TIM.2020.3047939
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
Often, the condition of a machine tool is detected indirectly in the reduced quality of manufactured parts upon visual inspection. Reliable and efficient machine tool condition monitoring is indispensable for manufacturing. Furthermore, issues affecting machine tools are closely related to pathologies associated with many other industrial electromechanical systems. An instrumentation and measurement solution for tool condition monitoring is presented in this article. A signal processing algorithm and instrumentation hardware are proposed to avoid intrusive sensor installations or modifications of the machine under test. The cyclostationary properties of machine vibration signals drive fault-detection approaches in the proposed sensing hardware and signal processing chain. A sample of end mills from an industrial facility is used to validate the tool condition monitoring system.
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页数:10
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