Parsimonious network based on a fuzzy inference system (PANFIS) for time series feature prediction of low speed slew bearing prognosis

Parsimonious network based on a fuzzy inference system (PANFIS) for time series feature prediction of low speed slew bearing prognosis

In recent years, the utilization of rotating parts, e.g., bearings and gears, has been continuously supporting the manufacturing line to produce a consistent output quality. Due to their critical role, the breakdown of these components might significantly impact the production rate. Prognosis, which...

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Bibliographic Details
Main Authors: Caesarendra, Wahyu, Pratama, Mahardhika, Kosasih, Buyung, Tjahjowidodo, Tegoeh, Glowacz, Adam
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2023
Subjects:
Engineering::Computer science and engineering
Engineering::Mechanical engineering
Prognosis
Slew Bearing
Online Access:https://hdl.handle.net/10356/164885
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/164885

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