New higher order spectra for wind turbines shaft misalignment diagnosis

Len Gelman, Mikołaj Kiełczyński

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The purpose of this paper is to show that the higher order chirp Fourier bicoherence that combine with the shaft speed of wind turbine is an efficient method for shaft misalignment detection in wind turbines.

LanguageEnglish
Title of host publication13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM 2016/MFPT 2016
PublisherBritish Institute of Non-Destructive Testing
Publication statusPublished - 2016
Externally publishedYes
Event13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies - Paris, France
Duration: 10 Oct 201612 Oct 2016

Conference

Conference13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies
Abbreviated titleCM & MFPT 2016
CountryFrance
CityParis
Period10/10/1612/10/16

Fingerprint

Wind turbines

Cite this

Gelman, L., & Kiełczyński, M. (2016). New higher order spectra for wind turbines shaft misalignment diagnosis. In 13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM 2016/MFPT 2016 British Institute of Non-Destructive Testing.
Gelman, Len ; Kiełczyński, Mikołaj. / New higher order spectra for wind turbines shaft misalignment diagnosis. 13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM 2016/MFPT 2016. British Institute of Non-Destructive Testing, 2016.
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title = "New higher order spectra for wind turbines shaft misalignment diagnosis",
abstract = "The purpose of this paper is to show that the higher order chirp Fourier bicoherence that combine with the shaft speed of wind turbine is an efficient method for shaft misalignment detection in wind turbines.",
keywords = "Bicoherence, Higher order spectral, Misalignment diagnosis, Non-stationary signal, Short time chirp Fourier transform, Wind turbines",
author = "Len Gelman and Mikołaj Kiełczyński",
year = "2016",
language = "English",
booktitle = "13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM 2016/MFPT 2016",
publisher = "British Institute of Non-Destructive Testing",

}

Gelman, L & Kiełczyński, M 2016, New higher order spectra for wind turbines shaft misalignment diagnosis. in 13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM 2016/MFPT 2016. British Institute of Non-Destructive Testing, 13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, Paris, France, 10/10/16.

New higher order spectra for wind turbines shaft misalignment diagnosis. / Gelman, Len; Kiełczyński, Mikołaj.

13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM 2016/MFPT 2016. British Institute of Non-Destructive Testing, 2016.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - New higher order spectra for wind turbines shaft misalignment diagnosis

AU - Gelman, Len

AU - Kiełczyński, Mikołaj

PY - 2016

Y1 - 2016

N2 - The purpose of this paper is to show that the higher order chirp Fourier bicoherence that combine with the shaft speed of wind turbine is an efficient method for shaft misalignment detection in wind turbines.

AB - The purpose of this paper is to show that the higher order chirp Fourier bicoherence that combine with the shaft speed of wind turbine is an efficient method for shaft misalignment detection in wind turbines.

KW - Bicoherence

KW - Higher order spectral

KW - Misalignment diagnosis

KW - Non-stationary signal

KW - Short time chirp Fourier transform

KW - Wind turbines

UR - http://www.scopus.com/inward/record.url?scp=85002563039&partnerID=8YFLogxK

M3 - Conference contribution

BT - 13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM 2016/MFPT 2016

PB - British Institute of Non-Destructive Testing

ER -

Gelman L, Kiełczyński M. New higher order spectra for wind turbines shaft misalignment diagnosis. In 13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM 2016/MFPT 2016. British Institute of Non-Destructive Testing. 2016