Reliable wind turbine condition monitoring with the aid of a non-dimensional criterion

Wenxian Yang; Chong H. Ng; Paul McKeever

Reliable wind turbine condition monitoring with the aid of a non-dimensional criterion

Wenxian Yang, Chong H. Ng, Paul McKeever

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

Abstract

Increasing deployment of large wind turbines (WTs) offshore and in remote areas requires reliable and efficient condition monitoring (CM) techniques to ensure the high availability and the anticipated economic return from these giants. However, the WTs are subject to constantly varying loads, which bring significant negative influence on the reliability of CM results. To tackle this issue, an innovative load-independent CM technique is researched in this paper by taking advantage of non-dimensional criteria. Experiment has shown that the proposed technique is less dependent on the loads and the operational conditions of the WTs. It is efficient in detecting both the mechanical and electrical faults occurring in the WTs. Moreover, it provides a reliable indicator for determining the optimal time for conducting the maintenance of defective WT components and subassemblies.

Original language	English
Title of host publication	11th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM 2014/MFPT 2014)
Publisher	British Institute of Non-Destructive Testing
Pages	79-85
Number of pages	7
ISBN (Print)	9781634395052
Publication status	Published - 10 Jun 2014
Externally published	Yes
Event	11th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies - Manchester, United Kingdom Duration: 10 Jun 2014 → 12 Jun 2014 Conference number: 11

Conference

Conference	11th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies
Abbreviated title	CM / MFPT 2014
Country/Territory	United Kingdom
City	Manchester
Period	10/06/14 → 12/06/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Cite this

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title = "Reliable wind turbine condition monitoring with the aid of a non-dimensional criterion",

abstract = "Increasing deployment of large wind turbines (WTs) offshore and in remote areas requires reliable and efficient condition monitoring (CM) techniques to ensure the high availability and the anticipated economic return from these giants. However, the WTs are subject to constantly varying loads, which bring significant negative influence on the reliability of CM results. To tackle this issue, an innovative load-independent CM technique is researched in this paper by taking advantage of non-dimensional criteria. Experiment has shown that the proposed technique is less dependent on the loads and the operational conditions of the WTs. It is efficient in detecting both the mechanical and electrical faults occurring in the WTs. Moreover, it provides a reliable indicator for determining the optimal time for conducting the maintenance of defective WT components and subassemblies.",

keywords = "Wind turbine, Non-dimensional criterion, Condition monitoring",

author = "Wenxian Yang and Ng, \{Chong H.\} and Paul McKeever",

year = "2014",

month = jun,

day = "10",

language = "English",

isbn = "9781634395052",

pages = "79--85",

booktitle = "11th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM 2014/MFPT 2014)",

publisher = "British Institute of Non-Destructive Testing",

address = "United Kingdom",

note = "11th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM / MFPT 2014 ; Conference date: 10-06-2014 Through 12-06-2014",

}

Yang, W, Ng, CH & McKeever, P 2014, Reliable wind turbine condition monitoring with the aid of a non-dimensional criterion. in 11th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM 2014/MFPT 2014). British Institute of Non-Destructive Testing, pp. 79-85, 11th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, Manchester, United Kingdom, 10/06/14.

Reliable wind turbine condition monitoring with the aid of a non-dimensional criterion. / Yang, Wenxian; Ng, Chong H.; McKeever, Paul.
11th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM 2014/MFPT 2014). British Institute of Non-Destructive Testing, 2014. p. 79-85.

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

TY - GEN

T1 - Reliable wind turbine condition monitoring with the aid of a non-dimensional criterion

AU - Yang, Wenxian

AU - Ng, Chong H.

AU - McKeever, Paul

N1 - Conference code: 11

PY - 2014/6/10

Y1 - 2014/6/10

N2 - Increasing deployment of large wind turbines (WTs) offshore and in remote areas requires reliable and efficient condition monitoring (CM) techniques to ensure the high availability and the anticipated economic return from these giants. However, the WTs are subject to constantly varying loads, which bring significant negative influence on the reliability of CM results. To tackle this issue, an innovative load-independent CM technique is researched in this paper by taking advantage of non-dimensional criteria. Experiment has shown that the proposed technique is less dependent on the loads and the operational conditions of the WTs. It is efficient in detecting both the mechanical and electrical faults occurring in the WTs. Moreover, it provides a reliable indicator for determining the optimal time for conducting the maintenance of defective WT components and subassemblies.

AB - Increasing deployment of large wind turbines (WTs) offshore and in remote areas requires reliable and efficient condition monitoring (CM) techniques to ensure the high availability and the anticipated economic return from these giants. However, the WTs are subject to constantly varying loads, which bring significant negative influence on the reliability of CM results. To tackle this issue, an innovative load-independent CM technique is researched in this paper by taking advantage of non-dimensional criteria. Experiment has shown that the proposed technique is less dependent on the loads and the operational conditions of the WTs. It is efficient in detecting both the mechanical and electrical faults occurring in the WTs. Moreover, it provides a reliable indicator for determining the optimal time for conducting the maintenance of defective WT components and subassemblies.

KW - Wind turbine

KW - Non-dimensional criterion

KW - Condition monitoring

UR - https://www.scopus.com/pages/publications/84918585382

M3 - Conference contribution

AN - SCOPUS:84918585382

SN - 9781634395052

SP - 79

EP - 85

BT - 11th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM 2014/MFPT 2014)

PB - British Institute of Non-Destructive Testing

T2 - 11th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies

Y2 - 10 June 2014 through 12 June 2014

ER -

Reliable wind turbine condition monitoring with the aid of a non-dimensional criterion

Abstract

Conference

UN SDGs

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Cite this