Integrated condition monitoring and prognosis method for incipient defect detection and remaining life prediction of low speed slew bearings

• Main Authors: Caesarendra, Wahyu, Tjahjowidodo, Tegoeh, Kosasih, Buyung, Tieu, Anh Kiet
• 其他作者: School of Mechanical and Aerospace Engineering
• 格式: Article
• 語言: English
• 出版: 2018
• 主題: DRNTU::Engineering::Mechanical engineering; Condition Monitoring; Kernel Regression
• 在線閱讀: https://hdl.handle.net/10356/88423; http://hdl.handle.net/10220/45773

This paper presents an application of multivariate state estimation technique (MSET), sequential probability ratio test (SPRT) and kernel regression for low speed slew bearing condition monitoring and prognosis. The method is applied in two steps. Step (1) is the detection of the incipient slew bear...