Propeller Shaft Frequency Extraction Based on the Improved Cyclic Modulation Spectrum

Xingyue Zhou; Kunde Yang; Chunlong Huang; Yunchao Zhu; Yukun Zhang

doi:10.1109/OCEANSE.2019.8866878

Propeller Shaft Frequency Extraction Based on the Improved Cyclic Modulation Spectrum

Xingyue Zhou, Kunde Yang, Chunlong Huang, Yunchao Zhu, Yukun Zhang

Ocean Institute

Northwestern Polytechnical University Xian

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

3 Scopus citations

Abstract

Propeller noise is one of the main radiation sources of underwater targets. It contains substantial physical information for feature extraction and recognition. Most of the extraction methods of propeller shaft frequency based on the Detection of Envelope Modulation on Noise (DEMON), which have the disadvantages of large computation cost and low reliability, some even require the prior information of target. In this paper, we propose to combine wavelet and Hilbert-Huang transform (HHT) to suppress background noise, and a shaft frequency method based on Multiple Signal Classification (MUSIC) is used to reduce the computation of Cyclic Modulation Spectrum (CMS). Here, we have two contributions: firstly, HHT-based improved envelope is exploited for more thorough filtering of low-band continuum noise. Secondly, the searching method of shaft frequency and harmonics improve the searching accuracy in both multi-target and single-target detection.

Original language	English
Title of host publication	OCEANS 2019 - Marseille, OCEANS Marseille 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728114507
DOIs	https://doi.org/10.1109/OCEANSE.2019.8866878
State	Published - Jun 2019
Event	2019 OCEANS - Marseille, OCEANS Marseille 2019 - Marseille, France Duration: 17 Jun 2019 → 20 Jun 2019

Publication series

Name	OCEANS 2019 - Marseille, OCEANS Marseille 2019
Volume	2019-June

Conference

Conference	2019 OCEANS - Marseille, OCEANS Marseille 2019
Country/Territory	France
City	Marseille
Period	17/06/19 → 20/06/19

Keywords

CMS
HHT
MUSIC
Propeller noise
Shaft frequency

Access to Document

10.1109/OCEANSE.2019.8866878

Cite this

Zhou, X., Yang, K., Huang, C., Zhu, Y., & Zhang, Y. (2019). Propeller Shaft Frequency Extraction Based on the Improved Cyclic Modulation Spectrum. In OCEANS 2019 - Marseille, OCEANS Marseille 2019 Article 8866878 (OCEANS 2019 - Marseille, OCEANS Marseille 2019; Vol. 2019-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/OCEANSE.2019.8866878

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title = "Propeller Shaft Frequency Extraction Based on the Improved Cyclic Modulation Spectrum",

abstract = "Propeller noise is one of the main radiation sources of underwater targets. It contains substantial physical information for feature extraction and recognition. Most of the extraction methods of propeller shaft frequency based on the Detection of Envelope Modulation on Noise (DEMON), which have the disadvantages of large computation cost and low reliability, some even require the prior information of target. In this paper, we propose to combine wavelet and Hilbert-Huang transform (HHT) to suppress background noise, and a shaft frequency method based on Multiple Signal Classification (MUSIC) is used to reduce the computation of Cyclic Modulation Spectrum (CMS). Here, we have two contributions: firstly, HHT-based improved envelope is exploited for more thorough filtering of low-band continuum noise. Secondly, the searching method of shaft frequency and harmonics improve the searching accuracy in both multi-target and single-target detection.",

keywords = "CMS, HHT, MUSIC, Propeller noise, Shaft frequency",

author = "Xingyue Zhou and Kunde Yang and Chunlong Huang and Yunchao Zhu and Yukun Zhang",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 OCEANS - Marseille, OCEANS Marseille 2019 ; Conference date: 17-06-2019 Through 20-06-2019",

year = "2019",

month = jun,

doi = "10.1109/OCEANSE.2019.8866878",

language = "英语",

series = "OCEANS 2019 - Marseille, OCEANS Marseille 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "OCEANS 2019 - Marseille, OCEANS Marseille 2019",

}

Zhou, X, Yang, K, Huang, C, Zhu, Y & Zhang, Y 2019, Propeller Shaft Frequency Extraction Based on the Improved Cyclic Modulation Spectrum. in OCEANS 2019 - Marseille, OCEANS Marseille 2019., 8866878, OCEANS 2019 - Marseille, OCEANS Marseille 2019, vol. 2019-June, Institute of Electrical and Electronics Engineers Inc., 2019 OCEANS - Marseille, OCEANS Marseille 2019, Marseille, France, 17/06/19. https://doi.org/10.1109/OCEANSE.2019.8866878

Propeller Shaft Frequency Extraction Based on the Improved Cyclic Modulation Spectrum. / Zhou, Xingyue; Yang, Kunde; Huang, Chunlong et al.
OCEANS 2019 - Marseille, OCEANS Marseille 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8866878 (OCEANS 2019 - Marseille, OCEANS Marseille 2019; Vol. 2019-June).

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

TY - GEN

T1 - Propeller Shaft Frequency Extraction Based on the Improved Cyclic Modulation Spectrum

AU - Zhou, Xingyue

AU - Yang, Kunde

AU - Huang, Chunlong

AU - Zhu, Yunchao

AU - Zhang, Yukun

PY - 2019/6

Y1 - 2019/6

N2 - Propeller noise is one of the main radiation sources of underwater targets. It contains substantial physical information for feature extraction and recognition. Most of the extraction methods of propeller shaft frequency based on the Detection of Envelope Modulation on Noise (DEMON), which have the disadvantages of large computation cost and low reliability, some even require the prior information of target. In this paper, we propose to combine wavelet and Hilbert-Huang transform (HHT) to suppress background noise, and a shaft frequency method based on Multiple Signal Classification (MUSIC) is used to reduce the computation of Cyclic Modulation Spectrum (CMS). Here, we have two contributions: firstly, HHT-based improved envelope is exploited for more thorough filtering of low-band continuum noise. Secondly, the searching method of shaft frequency and harmonics improve the searching accuracy in both multi-target and single-target detection.

AB - Propeller noise is one of the main radiation sources of underwater targets. It contains substantial physical information for feature extraction and recognition. Most of the extraction methods of propeller shaft frequency based on the Detection of Envelope Modulation on Noise (DEMON), which have the disadvantages of large computation cost and low reliability, some even require the prior information of target. In this paper, we propose to combine wavelet and Hilbert-Huang transform (HHT) to suppress background noise, and a shaft frequency method based on Multiple Signal Classification (MUSIC) is used to reduce the computation of Cyclic Modulation Spectrum (CMS). Here, we have two contributions: firstly, HHT-based improved envelope is exploited for more thorough filtering of low-band continuum noise. Secondly, the searching method of shaft frequency and harmonics improve the searching accuracy in both multi-target and single-target detection.

KW - CMS

KW - HHT

KW - MUSIC

KW - Propeller noise

KW - Shaft frequency

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Y2 - 17 June 2019 through 20 June 2019

ER -

Propeller Shaft Frequency Extraction Based on the Improved Cyclic Modulation Spectrum

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Keywords

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