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

• المؤلفون الرئيسيون: Caesarendra, Wahyu, Pratama, Mahardhika, Kosasih, Buyung, Tjahjowidodo, Tegoeh, Glowacz, Adam
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Computer science and engineering; Engineering::Mechanical engineering; Prognosis; Slew Bearing
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/164885

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...