High Frequency Data Compression for Diesel Engine Monitoring

Liyuan Cai; Hao Luo; Chen Yao; Lianfang Wang; Liyong Ma

doi:10.1109/CCET52649.2021.9544376

High Frequency Data Compression for Diesel Engine Monitoring

Liyuan Cai
, Hao Luo
, Chen Yao
, Lianfang Wang
, Liyong Ma

Shanghai Marine Diesel Engine Research Institute
School of Information Science and Engineering, Harbin Institute of Technology Weihai

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

1 Scopus citations

Abstract

In Marine diesel engine vibration monitoring system, a large number of high frequency data can be detected by high frequency sensors. Using data compression technology can effectively reduce the amount of data monitored by the ship vibration monitoring system and improve the communication efficiency of the system. In this paper, a lossless compression method combining variational mode decomposition (VMD) and run length encoding (RLE) for marine diesel high-frequency data is proposed. First, the signal is decomposed by VMD, and then the decomposed sub-signals and residual signals are encoded. In order to obtain better compression ratio, the compression method of RLE and Lempel-Ziv-Welch (LZW) is adopted. Experimental results show that this method can compress data effectively for high frequency signal of diesel engine morning and save network bandwidth.

Original language	English
Title of host publication	2021 IEEE 4th International Conference on Computer and Communication Engineering Technology, CCET 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	443-446
Number of pages	4
ISBN (Electronic)	9781665438902
DOIs	https://doi.org/10.1109/CCET52649.2021.9544376
State	Published - 13 Aug 2021
Externally published	Yes
Event	4th IEEE International Conference on Computer and Communication Engineering Technology, CCET 2021 - Virtual, Beijing, China Duration: 13 Aug 2021 → 15 Aug 2021

Publication series

Name	2021 IEEE 4th International Conference on Computer and Communication Engineering Technology, CCET 2021

Conference

Conference	4th IEEE International Conference on Computer and Communication Engineering Technology, CCET 2021
Country/Territory	China
City	Virtual, Beijing
Period	13/08/21 → 15/08/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 14 Life Below Water

Keywords

Marine diesel engine
data compression
run length encoding (RLE)
variational mode decomposition (VMD)

Access to Document

10.1109/CCET52649.2021.9544376

Cite this

Cai, L., Luo, H., Yao, C., Wang, L., & Ma, L. (2021). High Frequency Data Compression for Diesel Engine Monitoring. In 2021 IEEE 4th International Conference on Computer and Communication Engineering Technology, CCET 2021 (pp. 443-446). (2021 IEEE 4th International Conference on Computer and Communication Engineering Technology, CCET 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCET52649.2021.9544376

Cai, Liyuan ; Luo, Hao ; Yao, Chen et al. / High Frequency Data Compression for Diesel Engine Monitoring. 2021 IEEE 4th International Conference on Computer and Communication Engineering Technology, CCET 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 443-446 (2021 IEEE 4th International Conference on Computer and Communication Engineering Technology, CCET 2021).

@inproceedings{95c842180343409384c9169a633fef40,

title = "High Frequency Data Compression for Diesel Engine Monitoring",

abstract = "In Marine diesel engine vibration monitoring system, a large number of high frequency data can be detected by high frequency sensors. Using data compression technology can effectively reduce the amount of data monitored by the ship vibration monitoring system and improve the communication efficiency of the system. In this paper, a lossless compression method combining variational mode decomposition (VMD) and run length encoding (RLE) for marine diesel high-frequency data is proposed. First, the signal is decomposed by VMD, and then the decomposed sub-signals and residual signals are encoded. In order to obtain better compression ratio, the compression method of RLE and Lempel-Ziv-Welch (LZW) is adopted. Experimental results show that this method can compress data effectively for high frequency signal of diesel engine morning and save network bandwidth.",

keywords = "Marine diesel engine, data compression, run length encoding (RLE), variational mode decomposition (VMD)",

author = "Liyuan Cai and Hao Luo and Chen Yao and Lianfang Wang and Liyong Ma",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 4th IEEE International Conference on Computer and Communication Engineering Technology, CCET 2021 ; Conference date: 13-08-2021 Through 15-08-2021",

year = "2021",

month = aug,

day = "13",

doi = "10.1109/CCET52649.2021.9544376",

language = "英语",

series = "2021 IEEE 4th International Conference on Computer and Communication Engineering Technology, CCET 2021",

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

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booktitle = "2021 IEEE 4th International Conference on Computer and Communication Engineering Technology, CCET 2021",

address = "美国",

}

Cai, L, Luo, H, Yao, C, Wang, L & Ma, L 2021, High Frequency Data Compression for Diesel Engine Monitoring. in 2021 IEEE 4th International Conference on Computer and Communication Engineering Technology, CCET 2021. 2021 IEEE 4th International Conference on Computer and Communication Engineering Technology, CCET 2021, Institute of Electrical and Electronics Engineers Inc., pp. 443-446, 4th IEEE International Conference on Computer and Communication Engineering Technology, CCET 2021, Virtual, Beijing, China, 13/08/21. https://doi.org/10.1109/CCET52649.2021.9544376

High Frequency Data Compression for Diesel Engine Monitoring. / Cai, Liyuan; Luo, Hao; Yao, Chen et al.
2021 IEEE 4th International Conference on Computer and Communication Engineering Technology, CCET 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 443-446 (2021 IEEE 4th International Conference on Computer and Communication Engineering Technology, CCET 2021).

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

TY - GEN

T1 - High Frequency Data Compression for Diesel Engine Monitoring

AU - Cai, Liyuan

AU - Luo, Hao

AU - Yao, Chen

AU - Wang, Lianfang

AU - Ma, Liyong

PY - 2021/8/13

Y1 - 2021/8/13

N2 - In Marine diesel engine vibration monitoring system, a large number of high frequency data can be detected by high frequency sensors. Using data compression technology can effectively reduce the amount of data monitored by the ship vibration monitoring system and improve the communication efficiency of the system. In this paper, a lossless compression method combining variational mode decomposition (VMD) and run length encoding (RLE) for marine diesel high-frequency data is proposed. First, the signal is decomposed by VMD, and then the decomposed sub-signals and residual signals are encoded. In order to obtain better compression ratio, the compression method of RLE and Lempel-Ziv-Welch (LZW) is adopted. Experimental results show that this method can compress data effectively for high frequency signal of diesel engine morning and save network bandwidth.

AB - In Marine diesel engine vibration monitoring system, a large number of high frequency data can be detected by high frequency sensors. Using data compression technology can effectively reduce the amount of data monitored by the ship vibration monitoring system and improve the communication efficiency of the system. In this paper, a lossless compression method combining variational mode decomposition (VMD) and run length encoding (RLE) for marine diesel high-frequency data is proposed. First, the signal is decomposed by VMD, and then the decomposed sub-signals and residual signals are encoded. In order to obtain better compression ratio, the compression method of RLE and Lempel-Ziv-Welch (LZW) is adopted. Experimental results show that this method can compress data effectively for high frequency signal of diesel engine morning and save network bandwidth.

KW - Marine diesel engine

KW - data compression

KW - run length encoding (RLE)

KW - variational mode decomposition (VMD)

UR - https://www.scopus.com/pages/publications/85116719515

U2 - 10.1109/CCET52649.2021.9544376

DO - 10.1109/CCET52649.2021.9544376

M3 - 会议稿件

AN - SCOPUS:85116719515

T3 - 2021 IEEE 4th International Conference on Computer and Communication Engineering Technology, CCET 2021

SP - 443

EP - 446

BT - 2021 IEEE 4th International Conference on Computer and Communication Engineering Technology, CCET 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th IEEE International Conference on Computer and Communication Engineering Technology, CCET 2021

Y2 - 13 August 2021 through 15 August 2021

ER -

Cai L, Luo H, Yao C, Wang L, Ma L. High Frequency Data Compression for Diesel Engine Monitoring. In 2021 IEEE 4th International Conference on Computer and Communication Engineering Technology, CCET 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 443-446. (2021 IEEE 4th International Conference on Computer and Communication Engineering Technology, CCET 2021). doi: 10.1109/CCET52649.2021.9544376

High Frequency Data Compression for Diesel Engine Monitoring

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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