Abstract
2. Bielecki A, Wójcik M. Hybrid system of ART and RBF neural networks for online clustering. Applied Soft Computing. 2017;58:1-10. https://doi.org/10.1016/j.asoc.... CrossRef Google Scholar
Highlights
Rotary machines monitoring is a crucial part of their maintenance [6,8,10,14,15]
The automatic monitoring is based on various complex systems such as SCADA [5] or systems of artificial intelligence [2,3,4,7]
There is a need for extremely simple but effective rotary machinery monitoring systems that can be used as complementary to systems based on more complex algorithms
Summary
AND PROBLEM FORMULATIONRotary machines monitoring is a crucial part of their maintenance [6,8,10,14,15]. The automatic monitoring is based on various complex systems such as SCADA [5] or systems of artificial intelligence [2,3,4,7]. Systems of this type, apart from the obvious advantages, have some drawbacks, . There is a need for extremely simple but effective rotary machinery monitoring systems that can be used as complementary to systems based on more complex algorithms. In this paper such system is proposed
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
