New higher order spectra for wind turbines shaft misalignment diagnosis

Len Gelman; Mikołaj Kiełczyński

New higher order spectra for wind turbines shaft misalignment diagnosis

Len Gelman, Mikołaj Kiełczyński

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

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.

Original language	English
Title of host publication	13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM 2016/MFPT 2016
Publisher	British Institute of Non-Destructive Testing
Publication status	Published - 2016
Externally published	Yes
Event	13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies - Paris, France Duration: 10 Oct 2016 → 12 Oct 2016

Conference

Conference	13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies
Abbreviated title	CM & MFPT 2016
Country/Territory	France
City	Paris
Period	10/10/16 → 12/10/16

Cite this

@inproceedings{b0b2adf2008341ebb78dfef4ee49c889,

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 Miko{\l}aj Kie{\l}czy{\'n}ski",

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",

address = "United Kingdom",

note = "13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM & MFPT 2016 ; Conference date: 10-10-2016 Through 12-10-2016",

}

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 proceeding › Conference contribution › peer-review

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

AN - SCOPUS:85002563039

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

PB - British Institute of Non-Destructive Testing

T2 - 13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies

Y2 - 10 October 2016 through 12 October 2016

ER -

New higher order spectra for wind turbines shaft misalignment diagnosis

Abstract

Conference

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