Standardisation of wind turbine SCADA data for gearbox fault detection

D Ferguson; A McDonald; J Carroll; H Lee

Standardisation of wind turbine SCADA data for gearbox fault detection

D Ferguson, A McDonald, J Carroll, H Lee

Research output: Contribution to conference › Paper › peer-review

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Abstract

This paper presents a method of anomaly detection within a gearbox by way of standardising temperature data. Assessing measured parameters in isolation is not sufficient to detect faults within a wind turbine. This technique uses temperature, rotational speed and generator torque to detect a bearing fault within the gearbox. Standardising data allows a parameter to be analysed which also takes into consideration the operating state of the wind turbine, therefore providing a more holistic view of the health of the wind turbine and component being monitored.

Original language	English
Number of pages	6
Publication status	Published - 28 Sept 2018
Event	The 7th International Conference on Renewable Power Generation : The 7th International Conference on Renewable Power Generation - DTU, Lyngby, Copenhagen, Denmark Duration: 26 Aug 2018 → 27 Sept 2018 Conference number: 7 https://events.theiet.org/rpg/index.cfm https://events.theiet.org/rpg/index.cfm?

Conference

Conference	The 7th International Conference on Renewable Power Generation
Abbreviated title	RPG2018
Country/Territory	Denmark
City	Copenhagen
Period	26/08/18 → 27/09/18
Internet address	https://events.theiet.org/rpg/index.cfm https://events.theiet.org/rpg/index.cfm?

Keywords

anomaly detection
gearbox
standardisation
monitoring

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Ferguson-etal-RPG-2018-Standardisation-of-Wind-Turbine-SCADA-DataFinal published version, 677 KB

Cite this

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title = "Standardisation of wind turbine SCADA data for gearbox fault detection",

abstract = "This paper presents a method of anomaly detection within a gearbox by way of standardising temperature data. Assessing measured parameters in isolation is not sufficient to detect faults within a wind turbine. This technique uses temperature, rotational speed and generator torque to detect a bearing fault within the gearbox. Standardising data allows a parameter to be analysed which also takes into consideration the operating state of the wind turbine, therefore providing a more holistic view of the health of the wind turbine and component being monitored.",

keywords = "anomaly detection, gearbox, standardisation, monitoring",

author = "D Ferguson and A McDonald and J Carroll and H Lee",

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note = "The 7th International Conference on Renewable Power Generation : The 7th International Conference on Renewable Power Generation, RPG2018 ; Conference date: 26-08-2018 Through 27-09-2018",

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T1 - Standardisation of wind turbine SCADA data for gearbox fault detection

AU - Ferguson, D

AU - McDonald, A

AU - Carroll, J

AU - Lee, H

N1 - Conference code: 7

PY - 2018/9/28

Y1 - 2018/9/28

N2 - This paper presents a method of anomaly detection within a gearbox by way of standardising temperature data. Assessing measured parameters in isolation is not sufficient to detect faults within a wind turbine. This technique uses temperature, rotational speed and generator torque to detect a bearing fault within the gearbox. Standardising data allows a parameter to be analysed which also takes into consideration the operating state of the wind turbine, therefore providing a more holistic view of the health of the wind turbine and component being monitored.

AB - This paper presents a method of anomaly detection within a gearbox by way of standardising temperature data. Assessing measured parameters in isolation is not sufficient to detect faults within a wind turbine. This technique uses temperature, rotational speed and generator torque to detect a bearing fault within the gearbox. Standardising data allows a parameter to be analysed which also takes into consideration the operating state of the wind turbine, therefore providing a more holistic view of the health of the wind turbine and component being monitored.

KW - anomaly detection

KW - gearbox

KW - standardisation

KW - monitoring

UR - https://events.theiet.org/rpg/programme.cfm

M3 - Paper

T2 - The 7th International Conference on Renewable Power Generation

Y2 - 26 August 2018 through 27 September 2018

ER -

Standardisation of wind turbine SCADA data for gearbox fault detection

Abstract

Conference

Keywords

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