Detection of gear deterioration under varying load conditions by using the instantaneous power spectrum

N. Baydar, A. Ball

Research output: Contribution to journalArticle

82 Citations (Scopus)

Abstract

It has already been proven that time-frequency distributions such as the Wigner-Ville and wavelet transforms can be applied to the description of machine condition and may be used as an effective method in machinery fault diagnosis. This paper considers the use of another time-frequency distribution called the instantaneous power spectrum (IPS) in the detection of local faults in helical gears. The paper begins with a fundamental description of the IPS and then examines the capability of the technique in extracting condition indicating information from gear vibration signals and also in assessing the fault severity. The paper then further examines the ability of the IPS to detect faults under varying load conditions. It is shown that the IPS can be used to detect local faults not only under the same dynamic conditions (constant speed and load), but it can also indicate the progression of faults under varying load conditions.

LanguageEnglish
Pages907-921
Number of pages15
JournalMechanical Systems and Signal Processing
Volume14
Issue number6
DOIs
Publication statusPublished - 1 Nov 2000
Externally publishedYes
EventSociety of Automotive Engineers World Congress - Detroit, United States
Duration: 6 Mar 20009 Mar 2000

Fingerprint

Power spectrum
Deterioration
Gears
Helical gears
Wavelet transforms
Failure analysis
Machinery

Cite this

@article{80e7a507b97542b7af04b2c48d3962ae,
title = "Detection of gear deterioration under varying load conditions by using the instantaneous power spectrum",
abstract = "It has already been proven that time-frequency distributions such as the Wigner-Ville and wavelet transforms can be applied to the description of machine condition and may be used as an effective method in machinery fault diagnosis. This paper considers the use of another time-frequency distribution called the instantaneous power spectrum (IPS) in the detection of local faults in helical gears. The paper begins with a fundamental description of the IPS and then examines the capability of the technique in extracting condition indicating information from gear vibration signals and also in assessing the fault severity. The paper then further examines the ability of the IPS to detect faults under varying load conditions. It is shown that the IPS can be used to detect local faults not only under the same dynamic conditions (constant speed and load), but it can also indicate the progression of faults under varying load conditions.",
author = "N. Baydar and A. Ball",
year = "2000",
month = "11",
day = "1",
doi = "10.1006/mssp.1999.1281",
language = "English",
volume = "14",
pages = "907--921",
journal = "Mechanical Systems and Signal Processing",
issn = "0888-3270",
publisher = "Academic Press Inc.",
number = "6",

}

Detection of gear deterioration under varying load conditions by using the instantaneous power spectrum. / Baydar, N.; Ball, A.

In: Mechanical Systems and Signal Processing, Vol. 14, No. 6, 01.11.2000, p. 907-921.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Detection of gear deterioration under varying load conditions by using the instantaneous power spectrum

AU - Baydar, N.

AU - Ball, A.

PY - 2000/11/1

Y1 - 2000/11/1

N2 - It has already been proven that time-frequency distributions such as the Wigner-Ville and wavelet transforms can be applied to the description of machine condition and may be used as an effective method in machinery fault diagnosis. This paper considers the use of another time-frequency distribution called the instantaneous power spectrum (IPS) in the detection of local faults in helical gears. The paper begins with a fundamental description of the IPS and then examines the capability of the technique in extracting condition indicating information from gear vibration signals and also in assessing the fault severity. The paper then further examines the ability of the IPS to detect faults under varying load conditions. It is shown that the IPS can be used to detect local faults not only under the same dynamic conditions (constant speed and load), but it can also indicate the progression of faults under varying load conditions.

AB - It has already been proven that time-frequency distributions such as the Wigner-Ville and wavelet transforms can be applied to the description of machine condition and may be used as an effective method in machinery fault diagnosis. This paper considers the use of another time-frequency distribution called the instantaneous power spectrum (IPS) in the detection of local faults in helical gears. The paper begins with a fundamental description of the IPS and then examines the capability of the technique in extracting condition indicating information from gear vibration signals and also in assessing the fault severity. The paper then further examines the ability of the IPS to detect faults under varying load conditions. It is shown that the IPS can be used to detect local faults not only under the same dynamic conditions (constant speed and load), but it can also indicate the progression of faults under varying load conditions.

UR - http://www.scopus.com/inward/record.url?scp=0034317808&partnerID=8YFLogxK

U2 - 10.1006/mssp.1999.1281

DO - 10.1006/mssp.1999.1281

M3 - Article

VL - 14

SP - 907

EP - 921

JO - Mechanical Systems and Signal Processing

T2 - Mechanical Systems and Signal Processing

JF - Mechanical Systems and Signal Processing

SN - 0888-3270

IS - 6

ER -