Novel vibration diagnosis technology for industrial gearboxes

Len Gelman; Harish N. Chandra; Mahesh Patel; David Manning-Ohren

Novel vibration diagnosis technology for industrial gearboxes

Len Gelman, Harish N. Chandra, Mahesh Patel, David Manning-Ohren

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

Abstract

Misalignment is a common source of vibrations in rotating machinery such as gearboxes. In this paper novel short-time higher order chirp-Fourier transform (STHOCFT) is applied for misalignment detection of multi-stage gearboxes. STHOCFT is an adaptive technique and is capable of handling non-linear polynomial variation of instantaneous frequency in time. The proposed technique is suitable for both constant and variable speeds of the gearbox. The technology for the misalignment detection is based on the analysis of magnitudes of the bicoherence components based on STHOCFT involving low shaft orders. Separation between the features corresponding to normal and misalignment condition are quantified by Fisher Criterion. Using the Weighted Majority Rule based decision making technique; the estimate of the total probability of correct diagnosis is 100% for the estimated features.

Original language	English
Title of host publication	24th International Congress on Sound and Vibration, ICSV 2017
Publisher	International Institute of Acoustics and Vibration, IIAV
Pages	2709-2714
Number of pages	6
Volume	4 of 9
ISBN (Print)	9781510845855
Publication status	Published - 2017
Externally published	Yes
Event	24th International Congress on Sound and Vibration - Park Plaza Westminster Bridge Hotel, London, United Kingdom Duration: 23 Jul 2017 → 27 Jul 2017 Conference number: 24 http://www.icsv24.org/ (Link to Congress Website)

Conference

Conference	24th International Congress on Sound and Vibration
Abbreviated title	ICSV24
Country/Territory	United Kingdom
City	London
Period	23/07/17 → 27/07/17
Internet address	http://www.icsv24.org/ (Link to Congress Website)

UN SDGs

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

Cite this

@inproceedings{11aff35c8abc4cbbb51a30fb3e75ccde,

title = "Novel vibration diagnosis technology for industrial gearboxes",

abstract = "Misalignment is a common source of vibrations in rotating machinery such as gearboxes. In this paper novel short-time higher order chirp-Fourier transform (STHOCFT) is applied for misalignment detection of multi-stage gearboxes. STHOCFT is an adaptive technique and is capable of handling non-linear polynomial variation of instantaneous frequency in time. The proposed technique is suitable for both constant and variable speeds of the gearbox. The technology for the misalignment detection is based on the analysis of magnitudes of the bicoherence components based on STHOCFT involving low shaft orders. Separation between the features corresponding to normal and misalignment condition are quantified by Fisher Criterion. Using the Weighted Majority Rule based decision making technique; the estimate of the total probability of correct diagnosis is 100% for the estimated features.",

keywords = "Bicoherence, Fisher Criterion, Gearbox, Misalignment, STHOCFT",

author = "Len Gelman and Chandra, {Harish N.} and Mahesh Patel and David Manning-Ohren",

year = "2017",

language = "English",

isbn = "9781510845855",

volume = "4 of 9",

pages = "2709--2714",

booktitle = "24th International Congress on Sound and Vibration, ICSV 2017",

publisher = "International Institute of Acoustics and Vibration, IIAV",

address = "Poland",

note = "24th International Congress on Sound and Vibration, ICSV24 ; Conference date: 23-07-2017 Through 27-07-2017",

url = "http://www.icsv24.org/",

}

Novel vibration diagnosis technology for industrial gearboxes. / Gelman, Len; Chandra, Harish N.; Patel, Mahesh et al.

24th International Congress on Sound and Vibration, ICSV 2017. Vol. 4 of 9 International Institute of Acoustics and Vibration, IIAV, 2017. p. 2709-2714.

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

TY - GEN

T1 - Novel vibration diagnosis technology for industrial gearboxes

AU - Gelman, Len

AU - Chandra, Harish N.

AU - Patel, Mahesh

AU - Manning-Ohren, David

N1 - Conference code: 24

PY - 2017

Y1 - 2017

N2 - Misalignment is a common source of vibrations in rotating machinery such as gearboxes. In this paper novel short-time higher order chirp-Fourier transform (STHOCFT) is applied for misalignment detection of multi-stage gearboxes. STHOCFT is an adaptive technique and is capable of handling non-linear polynomial variation of instantaneous frequency in time. The proposed technique is suitable for both constant and variable speeds of the gearbox. The technology for the misalignment detection is based on the analysis of magnitudes of the bicoherence components based on STHOCFT involving low shaft orders. Separation between the features corresponding to normal and misalignment condition are quantified by Fisher Criterion. Using the Weighted Majority Rule based decision making technique; the estimate of the total probability of correct diagnosis is 100% for the estimated features.

AB - Misalignment is a common source of vibrations in rotating machinery such as gearboxes. In this paper novel short-time higher order chirp-Fourier transform (STHOCFT) is applied for misalignment detection of multi-stage gearboxes. STHOCFT is an adaptive technique and is capable of handling non-linear polynomial variation of instantaneous frequency in time. The proposed technique is suitable for both constant and variable speeds of the gearbox. The technology for the misalignment detection is based on the analysis of magnitudes of the bicoherence components based on STHOCFT involving low shaft orders. Separation between the features corresponding to normal and misalignment condition are quantified by Fisher Criterion. Using the Weighted Majority Rule based decision making technique; the estimate of the total probability of correct diagnosis is 100% for the estimated features.

KW - Bicoherence

KW - Fisher Criterion

KW - Gearbox

KW - Misalignment

KW - STHOCFT

UR - http://www.scopus.com/inward/record.url?scp=85029459606&partnerID=8YFLogxK

UR - https://www.proceedings.com/35564.html

M3 - Conference contribution

AN - SCOPUS:85029459606

SN - 9781510845855

VL - 4 of 9

SP - 2709

EP - 2714

BT - 24th International Congress on Sound and Vibration, ICSV 2017

PB - International Institute of Acoustics and Vibration, IIAV

T2 - 24th International Congress on Sound and Vibration

Y2 - 23 July 2017 through 27 July 2017

ER -

Novel vibration diagnosis technology for industrial gearboxes

Abstract

Conference

UN SDGs

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Cite this