Published Papers


Skip Navigation


UOU Logo

Top Menu

Total Search


Home > Research > Research Outcome >Published Papers

Document Contents

Published Papers

Search :

Search

Data-driven prognostic scheme for rolling-element bearings using a new health index and variants of least-square support vector machines

Abstract
This paper presents a data-driven prognostic framework for rolling-element bearings (REBs). This framework infers a bearing’s health index by defining a degree-of-defectiveness (DD) metric in the frequency domain of bearing raw signal, named DD-based health index (DDHI). Then, we systematically apply least-square support vector machines (LSSVMs) in the forms of Bayesian inference-aided one-class LSSVM (Bayesian-OCLSSVM) for anomaly detection in order to define the time-to-start (TTS) point of RUL prediction and the recurrent least-square support vector regression (Recurrent-LSSVR) model for predicting future values of DDHI for calculating the RUL. In addition, this paper addresses several pertinent challenges, such as failure threshold determination during anomaly detection and RUL estimation, by developing adaptive thresholds. We conduct extensive experiments on publicly available two benchmark datasets using a run-to-failure experiment. The results demonstrate the efficacy of the proposed framework compared to state-of-the-art methods in terms of the accuracy and convergence of the RUL estimation of bearings.

The administrative responsibility of the content.

By cliking the email below, you can send an e-mail to the person in charge.

Last Modified : Apr 9, 2013
  • Office : UOU International
  • Phone : +82-52-220-5957
  • Staff in Charge : Sean Park

Contents Review

Review the content back to the main content of the current page provides links to allow access.


Contact menu

CONNECT WITH UOU

Address

93 Daehak-ro, Nam-gu,
Ulsan (44610), Korea

Tel

Phone: +82-52-220-5952(~5959)

Fax

Fax: +82-52-224-2061

Email

QUICK LINK

Sitemap menu

CONTENTS

Join us and keep up-to-date on what is happenting around University of Ulsan.

Sitemap


Footer menu

CopyRight

Copyright 2012 University of Ulsan, All Rights Reserved.


Review Navigation