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
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2018
• Subjects: DRNTU::Engineering::Mechanical engineering; Condition Monitoring; Kernel Regression
• Online Access: https://hdl.handle.net/10356/88423; http://hdl.handle.net/10220/45773
• Institution: Nanyang Technological University

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...