Condition monitoring based on IoT for predictive maintenance of CNC machines
Author:
Funder
Universiti Malaysia Pahang
Publisher
Elsevier BV
Subject
General Medicine
Reference9 articles.
1. "Research on key technologies of fault diagnosis and early warning for high-end equipment based on intelligent manufacturing and Internet of Things,";Wang;The International Journal of Advanced Manufacturing Technology,2020
2. N. Ahmed, A. Day, J. Victory, L. Zeall, and B. Young, "Condition monitoring in the management of maintenance in a large scale precision CNC machining manufacturing facility," in 2012 IEEE International Conference on Condition Monitoring and Diagnosis, 2012: IEEE, pp. 842-845, doi: https://doi.org/10.1109/cmd.2012.6416281
3. S. Patil and J. Gaikwad, "Vibration analysis of electrical rotating machines using FFT: A method of predictive maintenance," in 2013 fourth international conference on computing, communications and networking technologies (ICCCNT), 2013: IEEE, pp. 1-6, doi: https://doi.org/10.1109/icccnt.2013.6726711
4. J. Dai, C.P. Chen, X.-Y. Xu, and P. Hu, "Condition monitoring on complex machinery for predictive maintenance and process control," in 2008 IEEE International Conference on Systems, Man and Cybernetics, 2008: IEEE, pp. 3595-3600, doi: https://doi.org/10.1109/icsmc.2008.4811856
5. "Predictive Condition Monitoring Of Rotating Machinery With Application To Gas Turbines And Compressors,";Li,2017
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