The University of Southampton
University of Southampton Institutional Repository

Electrostatic monitoring of wind turbine gearbox on oil-lubricated system

Electrostatic monitoring of wind turbine gearbox on oil-lubricated system
Electrostatic monitoring of wind turbine gearbox on oil-lubricated system
The electrostatic sensing technique has been verified to be a viable method for tribo-contact monitoring under laboratory conditions in previous investigations. This paper reports on the evolution of electrostatic monitoring on a real oil-lubricated wind turbine gearbox, using a modified oil-line sensor. In a nominal test and a ramp-up test, features were extracted and the presence of debris can be detected. The permutation entropy was further introduced in an accelerated life test. It can accurately reflect the wear condition of the gearboxes and detect early faults earlier than conventional techniques, which also has a better sensitivity and performance degradation trend than time-domain features.
0954-4062
1-16
Liu, Ruochen
6ff612ca-5a95-4208-9314-2f4764401db3
Zuo, Hongfu
ebe15548-5489-4d97-b9da-64df10df300b
Sun, Jianzhong
6e2412a7-9636-4a46-89b9-b9f65ba3b6f6
Wang, Ling
c50767b1-7474-4094-9b06-4fe64e9fe362
Liu, Ruochen
6ff612ca-5a95-4208-9314-2f4764401db3
Zuo, Hongfu
ebe15548-5489-4d97-b9da-64df10df300b
Sun, Jianzhong
6e2412a7-9636-4a46-89b9-b9f65ba3b6f6
Wang, Ling
c50767b1-7474-4094-9b06-4fe64e9fe362

Liu, Ruochen, Zuo, Hongfu, Sun, Jianzhong and Wang, Ling (2016) Electrostatic monitoring of wind turbine gearbox on oil-lubricated system. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 1-16. (doi:10.1177/0954406216648985).

Record type: Article

Abstract

The electrostatic sensing technique has been verified to be a viable method for tribo-contact monitoring under laboratory conditions in previous investigations. This paper reports on the evolution of electrostatic monitoring on a real oil-lubricated wind turbine gearbox, using a modified oil-line sensor. In a nominal test and a ramp-up test, features were extracted and the presence of debris can be detected. The permutation entropy was further introduced in an accelerated life test. It can accurately reflect the wear condition of the gearboxes and detect early faults earlier than conventional techniques, which also has a better sensitivity and performance degradation trend than time-domain features.

Text
__filestore.soton.ac.uk_users_gos1g13_mydesktop_Electrostatic monitoring of wind turbine gearbox on oil-lubricated system.pdf - Version of Record
Restricted to Repository staff only
Request a copy

More information

Accepted/In Press date: 19 April 2016
e-pub ahead of print date: 9 May 2016
Additional Information: submitted by non UoS authors and unable to receive a copy of the author’s manuscript from them
Organisations: Engineering Mats & Surface Engineerg Gp

Identifiers

Local EPrints ID: 397610
URI: http://eprints.soton.ac.uk/id/eprint/397610
ISSN: 0954-4062
PURE UUID: 1394f223-2d8e-482c-bb7d-9ac891a6ad35
ORCID for Ling Wang: ORCID iD orcid.org/0000-0002-2894-6784

Catalogue record

Date deposited: 04 Jul 2016 12:36
Last modified: 15 Mar 2024 03:12

Export record

Altmetrics

Contributors

Author: Ruochen Liu
Author: Hongfu Zuo
Author: Jianzhong Sun
Author: Ling Wang ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×