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

• المؤلفون الرئيسيون: Caesarendra, Wahyu, Tjahjowidodo, Tegoeh, Kosasih, Buyung, Tieu, Anh Kiet
• مؤلفون آخرون: School of Mechanical and Aerospace Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2018
• الموضوعات: DRNTU::Engineering::Mechanical engineering; Condition Monitoring; Kernel Regression
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/88423; http://hdl.handle.net/10220/45773
• المؤسسة: 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...