Title: Bearings degradation monitoring indicators based on discarded projected space information and piecewise linear representation

Authors: Fei Huang; Alexandre Sava; Kondo H. Adjallah; Zhouhang Wang

Addresses: Laboratoire de Conception, Optimisation et Modélisation des Systèmes, LCOMS EA 7306, Université de Lorraine, Metz 57000, France; Huaiyin Institute of Technology, 1 Meicheng Rd, Huaian 223003, Jiangsu, China ' Laboratoire de Conception, Optimisation et Modélisation des Systèmes, LCOMS EA 7306, Université de Lorraine, Metz 57000, France ' Laboratoire de Conception, Optimisation et Modélisation des Systèmes, LCOMS EA 7306, Université de Lorraine, Metz 57000, France ' Laboratoire de Conception, Optimisation et Modélisation des Systèmes, LCOMS EA 7306, Université de Lorraine, Metz 57000, France

Abstract: Condition-based maintenance of rotating mechanics requests efficient bearings degradation monitoring. The accuracy of bearings degradation measure depends largely on degradation indicators. To extract efficient indicators, in this paper we propose a method based on the discarded projected space information and piecewise linear representation (PLR) to build three bearings degradation monitoring indicators which are named SDHT², VSDHT² and NVSDHT². The discarded projected space information is measured by the segmented discarded Hotelling T square we propose in this paper. For illustration, the IEEE PHM 2012 benchmark dataset is used in this paper. The results show that the three new indicators are all sensitive and monotonic during the bearings whole lifecycle. They describe the whole degradation process history and carry the real-time information of bearings degradation. And NVSDHT² is the generalised version of VSDHT², which is promising to monitor bearings degradation.

Keywords: bearings; degradation monitoring indicator; piecewise linear representation; discarded projected space information; segmented discarded Hotelling T square.

DOI: 10.1504/IJMA.2020.108185

International Journal of Mechatronics and Automation, 2020 Vol.7 No.1, pp.23 - 31

Received: 06 Oct 2018
Accepted: 06 Feb 2020
Published online: 05 Jul 2020 *

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