Integrated Condition Monitoring and Prognosis Method for Incipient Defect Detection and Remaining Life Prediction of Low Speed Slew Bearings

Integrated Condition Monitoring and Prognosis Method for Incipient Defect Detection and Remaining Life Prediction of Low Speed Slew Bearings

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...

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Bibliographic Details
Main Authors: Wahyu Caesarendra, Tegoeh Tjahjowidodo, Buyung Kosasih, Anh Kiet Tieu
Format: Article
Language:English
Published: MDPI AG 2017-04-01
Series:Machines
Subjects:
condition monitoring
kernel regression
low speed slew bearing
multivariate state estimation technique
prognosis
sequential probability ratio test
Online Access:http://www.mdpi.com/2075-1702/5/2/11

Internet

http://www.mdpi.com/2075-1702/5/2/11

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