Hybrid wavelet analysis of vibration signal singularity for condition monitoring and fault prognosis

Zhengjia He; Hongkai Jiang; Yanyang Zi; Peng Chen

Hybrid wavelet analysis of vibration signal singularity for condition monitoring and fault prognosis

Zhengjia He
, Hongkai Jiang
, Yanyang Zi
, Peng Chen

School of Mechanical Engineering

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

Abstract

In this paper, a new approach of hybrid wavelet analysis is proposed, in which the advantages of complex Hermitian wavelet (CHW) and redundant second generation wavelet (RSGW) are synthesized. CHW transform is suitable for detecting signal singularities caused by mechanical fault. RSGW transform can yield enough information from signal decomposition that data number of approximation signal or detail signal at all levels remains the same as the original data number. These excellent performances can be integrated for mechanical condition monitoring and fault prognosis. A successful application for mechanical impact fault in large air compressor gearbox has been achieved.

Original language	English
Title of host publication	WMSCI 2005 - The 9th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings
Pages	85-90
Number of pages	6
State	Published - 2005
Event	9th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2005 - Orlando, FL, United States Duration: 10 Jul 2005 → 13 Jul 2005

Publication series

Name	WMSCI 2005 - The 9th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings
Volume	6

Conference

Conference	9th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2005
Country/Territory	United States
City	Orlando, FL
Period	10/07/05 → 13/07/05

Keywords

Complex Hermitian wavelet
Condition monitoring and fault prognosis
Hybrid wavelet analysis
Redundant second generation wavelet
Singularity detection

Cite this

He, Z., Jiang, H., Zi, Y., & Chen, P. (2005). Hybrid wavelet analysis of vibration signal singularity for condition monitoring and fault prognosis. In WMSCI 2005 - The 9th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings (pp. 85-90). (WMSCI 2005 - The 9th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings; Vol. 6).

He, Zhengjia ; Jiang, Hongkai ; Zi, Yanyang et al. / Hybrid wavelet analysis of vibration signal singularity for condition monitoring and fault prognosis. WMSCI 2005 - The 9th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings. 2005. pp. 85-90 (WMSCI 2005 - The 9th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings).

@inproceedings{5b531491b39c415c99368e4b65b41c7b,

title = "Hybrid wavelet analysis of vibration signal singularity for condition monitoring and fault prognosis",

abstract = "In this paper, a new approach of hybrid wavelet analysis is proposed, in which the advantages of complex Hermitian wavelet (CHW) and redundant second generation wavelet (RSGW) are synthesized. CHW transform is suitable for detecting signal singularities caused by mechanical fault. RSGW transform can yield enough information from signal decomposition that data number of approximation signal or detail signal at all levels remains the same as the original data number. These excellent performances can be integrated for mechanical condition monitoring and fault prognosis. A successful application for mechanical impact fault in large air compressor gearbox has been achieved.",

keywords = "Complex Hermitian wavelet, Condition monitoring and fault prognosis, Hybrid wavelet analysis, Redundant second generation wavelet, Singularity detection",

author = "Zhengjia He and Hongkai Jiang and Yanyang Zi and Peng Chen",

year = "2005",

language = "英语",

isbn = "9806560582",

series = "WMSCI 2005 - The 9th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings",

pages = "85--90",

booktitle = "WMSCI 2005 - The 9th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings",

note = "9th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2005 ; Conference date: 10-07-2005 Through 13-07-2005",

}

He, Z, Jiang, H, Zi, Y & Chen, P 2005, Hybrid wavelet analysis of vibration signal singularity for condition monitoring and fault prognosis. in WMSCI 2005 - The 9th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings. WMSCI 2005 - The 9th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings, vol. 6, pp. 85-90, 9th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2005, Orlando, FL, United States, 10/07/05.

Hybrid wavelet analysis of vibration signal singularity for condition monitoring and fault prognosis. / He, Zhengjia; Jiang, Hongkai; Zi, Yanyang et al.
WMSCI 2005 - The 9th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings. 2005. p. 85-90 (WMSCI 2005 - The 9th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings; Vol. 6).

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

TY - GEN

T1 - Hybrid wavelet analysis of vibration signal singularity for condition monitoring and fault prognosis

AU - He, Zhengjia

AU - Jiang, Hongkai

AU - Zi, Yanyang

AU - Chen, Peng

PY - 2005

Y1 - 2005

N2 - In this paper, a new approach of hybrid wavelet analysis is proposed, in which the advantages of complex Hermitian wavelet (CHW) and redundant second generation wavelet (RSGW) are synthesized. CHW transform is suitable for detecting signal singularities caused by mechanical fault. RSGW transform can yield enough information from signal decomposition that data number of approximation signal or detail signal at all levels remains the same as the original data number. These excellent performances can be integrated for mechanical condition monitoring and fault prognosis. A successful application for mechanical impact fault in large air compressor gearbox has been achieved.

AB - In this paper, a new approach of hybrid wavelet analysis is proposed, in which the advantages of complex Hermitian wavelet (CHW) and redundant second generation wavelet (RSGW) are synthesized. CHW transform is suitable for detecting signal singularities caused by mechanical fault. RSGW transform can yield enough information from signal decomposition that data number of approximation signal or detail signal at all levels remains the same as the original data number. These excellent performances can be integrated for mechanical condition monitoring and fault prognosis. A successful application for mechanical impact fault in large air compressor gearbox has been achieved.

KW - Complex Hermitian wavelet

KW - Condition monitoring and fault prognosis

KW - Hybrid wavelet analysis

KW - Redundant second generation wavelet

KW - Singularity detection

UR - https://www.scopus.com/pages/publications/84867367698

M3 - 会议稿件

AN - SCOPUS:84867367698

SN - 9806560582

SN - 9789806560581

T3 - WMSCI 2005 - The 9th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings

SP - 85

EP - 90

BT - WMSCI 2005 - The 9th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings

T2 - 9th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2005

Y2 - 10 July 2005 through 13 July 2005

ER -

Hybrid wavelet analysis of vibration signal singularity for condition monitoring and fault prognosis

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Keywords

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