Gear transmission fault diagnosis based on the bispectrum analysis of induction motor current signatures

Zhi Chen, Tie Wang, Fengshou Gu, Mansaf Haram, Andrew Ball

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

Motor current signal analysis has been an effective way for many years to monitor electrical machines. However, little research work has been reported in using this technique for monitoring their downstream equipment. The research investigating the characteristics of electrical current signals measured from an induction motor for monitoring faults from a downstream gear transmission system by a novel modulation signal (MS) bispectrum method. Both analytic analysis and experimental study are conducted based on a motor drive system and have found that the increase of bispectral peaks can be the basis of mechanical fault diagnosis. Particularly, a fault on a gear will causes a larger increase of the bispectral peak at both the gear shaft frequency and accompany with a smaller increase in the relating shaft frequency. However, a shaft misalignment only leads to a bispectrum peak increase at the shaft bifrequency along.

Original languageEnglish
Pages (from-to)84-90
Number of pages7
JournalJixie Gongcheng Xuebao/Journal of Mechanical Engineering
Volume48
Issue number21
Publication statusPublished - 5 Nov 2012

Fingerprint

Bispectrum
Induction Motor
Fault Diagnosis
Induction motors
Failure analysis
Gears
Signature
Fault
Monitoring
Electrical Machines
Signal Analysis
Misalignment
Signal analysis
Experimental Study
Monitor
Modulation

Cite this

@article{9960dd7dd77643b081819f0e14b453f1,
title = "Gear transmission fault diagnosis based on the bispectrum analysis of induction motor current signatures",
abstract = "Motor current signal analysis has been an effective way for many years to monitor electrical machines. However, little research work has been reported in using this technique for monitoring their downstream equipment. The research investigating the characteristics of electrical current signals measured from an induction motor for monitoring faults from a downstream gear transmission system by a novel modulation signal (MS) bispectrum method. Both analytic analysis and experimental study are conducted based on a motor drive system and have found that the increase of bispectral peaks can be the basis of mechanical fault diagnosis. Particularly, a fault on a gear will causes a larger increase of the bispectral peak at both the gear shaft frequency and accompany with a smaller increase in the relating shaft frequency. However, a shaft misalignment only leads to a bispectrum peak increase at the shaft bifrequency along.",
keywords = "Fault diagnosis, Gear transmission, Modulated signal biopspectrum, Motor current signature",
author = "Zhi Chen and Tie Wang and Fengshou Gu and Mansaf Haram and Andrew Ball",
year = "2012",
month = "11",
day = "5",
language = "English",
volume = "48",
pages = "84--90",
journal = "Jixie Gongcheng Xuebao/Chinese Journal of Mechanical Engineering",
issn = "0577-6686",
publisher = "Editorial Office of Chinese Journal of Mechanical Engineering",
number = "21",

}

Gear transmission fault diagnosis based on the bispectrum analysis of induction motor current signatures. / Chen, Zhi; Wang, Tie; Gu, Fengshou; Haram, Mansaf; Ball, Andrew.

In: Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, Vol. 48, No. 21, 05.11.2012, p. 84-90.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Gear transmission fault diagnosis based on the bispectrum analysis of induction motor current signatures

AU - Chen, Zhi

AU - Wang, Tie

AU - Gu, Fengshou

AU - Haram, Mansaf

AU - Ball, Andrew

PY - 2012/11/5

Y1 - 2012/11/5

N2 - Motor current signal analysis has been an effective way for many years to monitor electrical machines. However, little research work has been reported in using this technique for monitoring their downstream equipment. The research investigating the characteristics of electrical current signals measured from an induction motor for monitoring faults from a downstream gear transmission system by a novel modulation signal (MS) bispectrum method. Both analytic analysis and experimental study are conducted based on a motor drive system and have found that the increase of bispectral peaks can be the basis of mechanical fault diagnosis. Particularly, a fault on a gear will causes a larger increase of the bispectral peak at both the gear shaft frequency and accompany with a smaller increase in the relating shaft frequency. However, a shaft misalignment only leads to a bispectrum peak increase at the shaft bifrequency along.

AB - Motor current signal analysis has been an effective way for many years to monitor electrical machines. However, little research work has been reported in using this technique for monitoring their downstream equipment. The research investigating the characteristics of electrical current signals measured from an induction motor for monitoring faults from a downstream gear transmission system by a novel modulation signal (MS) bispectrum method. Both analytic analysis and experimental study are conducted based on a motor drive system and have found that the increase of bispectral peaks can be the basis of mechanical fault diagnosis. Particularly, a fault on a gear will causes a larger increase of the bispectral peak at both the gear shaft frequency and accompany with a smaller increase in the relating shaft frequency. However, a shaft misalignment only leads to a bispectrum peak increase at the shaft bifrequency along.

KW - Fault diagnosis

KW - Gear transmission

KW - Modulated signal biopspectrum

KW - Motor current signature

UR - http://www.scopus.com/inward/record.url?scp=84871176479&partnerID=8YFLogxK

M3 - Article

VL - 48

SP - 84

EP - 90

JO - Jixie Gongcheng Xuebao/Chinese Journal of Mechanical Engineering

JF - Jixie Gongcheng Xuebao/Chinese Journal of Mechanical Engineering

SN - 0577-6686

IS - 21

ER -