A Sparse Modulation Signal Bispectrum Analysis Method for Rolling Element Bearing Diagnosis

Guangbin Wang, Fengshou Gu, Ibraham Rehab, Andrew Ball, Long Li

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Modulation signal bispectrum (MSB) analysis is an effective method to obtain the fault frequency for rolling bearing, but harmonics make fault frequency dense and even frequency aliasing. Carrier frequency of bearing is generally determined by its structure and inherent characteristics and changes with the increase of the damage degree, so it is hard to be accurately found. To solve these problems, this paper proposes a sparse modulation signal bispectrum analysis method. Firstly the vibration signal is demodulated by MSB analysis and its bispectrum is obtained. After the frequency domain filtering, the carrier frequency is computed based on the characteristics of energy concentration at the carrier frequency on MSB. By shift-frequency MSB (SF-MSB), the carrier frequency is moved to the coordinate origin, the entire MSB is shifted for the same distance, and SF-MSB is obtained. At last, the bispectrum is shifted to the frequency zero point and diagonal slices are performed to obtain a sparse representation of MSB. Experimental results show that sparse MSB (S-MSB) method can not only eliminate the interference of harmonic frequency, but also make the extracted characteristic frequency of fault more obvious.

Original languageEnglish
Article number2954094
Number of pages12
JournalMathematical Problems in Engineering
Volume2018
DOIs
Publication statusPublished - 19 Dec 2018

Fingerprint

Bearings (structural)
Bispectrum
Signal analysis
Modulation
Fault
Frequency modulation
Harmonic
Rolling Bearing
Vibration Signal
Zero Point
Frequency Modulation
Sparse Representation
Aliasing
Slice
Frequency Domain

Cite this

@article{eb5f48bd5ede44ceaf4bf339d73c4674,
title = "A Sparse Modulation Signal Bispectrum Analysis Method for Rolling Element Bearing Diagnosis",
abstract = "Modulation signal bispectrum (MSB) analysis is an effective method to obtain the fault frequency for rolling bearing, but harmonics make fault frequency dense and even frequency aliasing. Carrier frequency of bearing is generally determined by its structure and inherent characteristics and changes with the increase of the damage degree, so it is hard to be accurately found. To solve these problems, this paper proposes a sparse modulation signal bispectrum analysis method. Firstly the vibration signal is demodulated by MSB analysis and its bispectrum is obtained. After the frequency domain filtering, the carrier frequency is computed based on the characteristics of energy concentration at the carrier frequency on MSB. By shift-frequency MSB (SF-MSB), the carrier frequency is moved to the coordinate origin, the entire MSB is shifted for the same distance, and SF-MSB is obtained. At last, the bispectrum is shifted to the frequency zero point and diagonal slices are performed to obtain a sparse representation of MSB. Experimental results show that sparse MSB (S-MSB) method can not only eliminate the interference of harmonic frequency, but also make the extracted characteristic frequency of fault more obvious.",
author = "Guangbin Wang and Fengshou Gu and Ibraham Rehab and Andrew Ball and Long Li",
year = "2018",
month = "12",
day = "19",
doi = "10.1155/2018/2954094",
language = "English",
volume = "2018",
journal = "Mathematical Problems in Engineering",
issn = "1024-123X",
publisher = "Hindawi Publishing Corporation",

}

A Sparse Modulation Signal Bispectrum Analysis Method for Rolling Element Bearing Diagnosis. / Wang, Guangbin; Gu, Fengshou; Rehab, Ibraham; Ball, Andrew; Li, Long.

In: Mathematical Problems in Engineering, Vol. 2018, 2954094, 19.12.2018.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A Sparse Modulation Signal Bispectrum Analysis Method for Rolling Element Bearing Diagnosis

AU - Wang, Guangbin

AU - Gu, Fengshou

AU - Rehab, Ibraham

AU - Ball, Andrew

AU - Li, Long

PY - 2018/12/19

Y1 - 2018/12/19

N2 - Modulation signal bispectrum (MSB) analysis is an effective method to obtain the fault frequency for rolling bearing, but harmonics make fault frequency dense and even frequency aliasing. Carrier frequency of bearing is generally determined by its structure and inherent characteristics and changes with the increase of the damage degree, so it is hard to be accurately found. To solve these problems, this paper proposes a sparse modulation signal bispectrum analysis method. Firstly the vibration signal is demodulated by MSB analysis and its bispectrum is obtained. After the frequency domain filtering, the carrier frequency is computed based on the characteristics of energy concentration at the carrier frequency on MSB. By shift-frequency MSB (SF-MSB), the carrier frequency is moved to the coordinate origin, the entire MSB is shifted for the same distance, and SF-MSB is obtained. At last, the bispectrum is shifted to the frequency zero point and diagonal slices are performed to obtain a sparse representation of MSB. Experimental results show that sparse MSB (S-MSB) method can not only eliminate the interference of harmonic frequency, but also make the extracted characteristic frequency of fault more obvious.

AB - Modulation signal bispectrum (MSB) analysis is an effective method to obtain the fault frequency for rolling bearing, but harmonics make fault frequency dense and even frequency aliasing. Carrier frequency of bearing is generally determined by its structure and inherent characteristics and changes with the increase of the damage degree, so it is hard to be accurately found. To solve these problems, this paper proposes a sparse modulation signal bispectrum analysis method. Firstly the vibration signal is demodulated by MSB analysis and its bispectrum is obtained. After the frequency domain filtering, the carrier frequency is computed based on the characteristics of energy concentration at the carrier frequency on MSB. By shift-frequency MSB (SF-MSB), the carrier frequency is moved to the coordinate origin, the entire MSB is shifted for the same distance, and SF-MSB is obtained. At last, the bispectrum is shifted to the frequency zero point and diagonal slices are performed to obtain a sparse representation of MSB. Experimental results show that sparse MSB (S-MSB) method can not only eliminate the interference of harmonic frequency, but also make the extracted characteristic frequency of fault more obvious.

UR - http://www.scopus.com/inward/record.url?scp=84876555465&partnerID=8YFLogxK

U2 - 10.1155/2018/2954094

DO - 10.1155/2018/2954094

M3 - Article

VL - 2018

JO - Mathematical Problems in Engineering

JF - Mathematical Problems in Engineering

SN - 1024-123X

M1 - 2954094

ER -