Integrating Servopress Acoustic Monitoring with Machine Learning for Enhanced Predictive Maintenance: Opportunities and Limitations
Author:
Affiliation:
1. University of Miskolc, Hatvany József Doctoral School,Miskolc,Hungary
2. University of Miskolc, Institute of Automation and Infocommunication,Miskolc,Hungary
3. HunReN Balaton Limnological, Research Institute,Tihany,Hungary
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10569138/10569149/10569593.pdf?arnumber=10569593
Reference20 articles.
1. Exploring predictive maintenance applications in industry
2. Intelligent predictive maintenance for fault diagnosis and prognosis in machine centers: Industry 4.0 scenario
3. Maintenance transformation through Industry 4.0 technologies: A systematic literature review
4. Predictive Maintenance and Intelligent Sensors in Smart Factory: Review
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