Efficient diagnostic condition monitoring for industrial wind turbines

S. Hajiabady; S. Kerkyras; S. Hillmansen; P. Tricoli; M. Papaelias

doi:10.1049/cp.2014.0932

Efficient diagnostic condition monitoring for industrial wind turbines

S. Hajiabady, S. Kerkyras, S. Hillmansen, P. Tricoli, M. Papaelias

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

The drive-train and power electronics are critical for the operation of industrial wind turbines. Faults developing in these components can result in long downtime and expensive repair costs, particularly when offshore wind farms are concerned. Effective condition monitoring (CM) of these components can result in significant savings for wind farm operators and contribute to a substantial improvement of the operational reliability of wind turbines. This paper considers a novel modular CM system capable of diagnosing faults in the gearbox. The data analysis methodology and the key results arising from measurements on actual industrial wind turbines are also presented.

Original language	English
Title of host publication	IET Conference Publications
Publisher	Institution of Engineering and Technology
Volume	2014
Edition	CP651
DOIs	https://doi.org/10.1049/cp.2014.0932
Publication status	Published - 1 Jan 2014
Event	3rd Renewable Power Generation Conference, RPG 2014 - Naples, United Kingdom Duration: 24 Sept 2014 → 25 Sept 2014

Conference

Conference	3rd Renewable Power Generation Conference, RPG 2014
Country/Territory	United Kingdom
City	Naples
Period	24/09/14 → 25/09/14

Keywords

Condition monitoring
Diagnosis
Wind turbine

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1049/cp.2014.0932

Cite this

@inproceedings{f1f1cec6dac6404abce20a992bc0df06,

title = "Efficient diagnostic condition monitoring for industrial wind turbines",

abstract = "The drive-train and power electronics are critical for the operation of industrial wind turbines. Faults developing in these components can result in long downtime and expensive repair costs, particularly when offshore wind farms are concerned. Effective condition monitoring (CM) of these components can result in significant savings for wind farm operators and contribute to a substantial improvement of the operational reliability of wind turbines. This paper considers a novel modular CM system capable of diagnosing faults in the gearbox. The data analysis methodology and the key results arising from measurements on actual industrial wind turbines are also presented.",

keywords = "Condition monitoring, Diagnosis, Wind turbine",

author = "S. Hajiabady and S. Kerkyras and S. Hillmansen and P. Tricoli and M. Papaelias",

year = "2014",

month = jan,

day = "1",

doi = "10.1049/cp.2014.0932",

language = "English",

volume = "2014",

booktitle = "IET Conference Publications",

publisher = "Institution of Engineering and Technology",

address = "United Kingdom",

edition = "CP651",

note = "3rd Renewable Power Generation Conference, RPG 2014 ; Conference date: 24-09-2014 Through 25-09-2014",

}

TY - GEN

T1 - Efficient diagnostic condition monitoring for industrial wind turbines

AU - Hajiabady, S.

AU - Kerkyras, S.

AU - Hillmansen, S.

AU - Tricoli, P.

AU - Papaelias, M.

PY - 2014/1/1

Y1 - 2014/1/1

N2 - The drive-train and power electronics are critical for the operation of industrial wind turbines. Faults developing in these components can result in long downtime and expensive repair costs, particularly when offshore wind farms are concerned. Effective condition monitoring (CM) of these components can result in significant savings for wind farm operators and contribute to a substantial improvement of the operational reliability of wind turbines. This paper considers a novel modular CM system capable of diagnosing faults in the gearbox. The data analysis methodology and the key results arising from measurements on actual industrial wind turbines are also presented.

AB - The drive-train and power electronics are critical for the operation of industrial wind turbines. Faults developing in these components can result in long downtime and expensive repair costs, particularly when offshore wind farms are concerned. Effective condition monitoring (CM) of these components can result in significant savings for wind farm operators and contribute to a substantial improvement of the operational reliability of wind turbines. This paper considers a novel modular CM system capable of diagnosing faults in the gearbox. The data analysis methodology and the key results arising from measurements on actual industrial wind turbines are also presented.

KW - Condition monitoring

KW - Diagnosis

KW - Wind turbine

UR - http://www.scopus.com/inward/record.url?scp=84912124560&partnerID=8YFLogxK

U2 - 10.1049/cp.2014.0932

DO - 10.1049/cp.2014.0932

M3 - Conference contribution

AN - SCOPUS:84912124560

VL - 2014

BT - IET Conference Publications

PB - Institution of Engineering and Technology

T2 - 3rd Renewable Power Generation Conference, RPG 2014

Y2 - 24 September 2014 through 25 September 2014

ER -

Efficient diagnostic condition monitoring for industrial wind turbines

Abstract

Conference

Keywords

ASJC Scopus subject areas

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Cite this