Investigating into Minimum Detectable Displacement Signal in Image-Based Vibration Measurement

Miaoshuo Li; Guojin Feng; Fengshou Gu; Andrew Ball

doi:10.1007/978-3-030-75793-9_82

Investigating into Minimum Detectable Displacement Signal in Image-Based Vibration Measurement

Miaoshuo Li, Guojin Feng, Fengshou Gu, Andrew Ball

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

1 Citation (Scopus)

Abstract

Image-based vibration measurement is becoming more and more popular due to its critical advantages of non-contact and full-field measurement. However, the minimum detectable displacement of a measurement system still lacks a theoretical study and experimental verification. When measuring vibration displacement of micron scale, it becomes difficult to distinguish the signal from noises. Therefore, this paper puts forward an explicit equation to calculate the minimum detectable signal (MDS) of displacement in vibration measurement using high-speed camera. The influence factors including blurring, color depth, image noise, and resolution are all included in the equation, which presents how these factors impact on the MDS. A simulation test is conducted on synthetic image and results show a great agreement with theoretical prediction. Furthermore, the equation of MDS is validated by an experimental study on modal analysis.

Original language	English
Title of host publication	Proceedings of IncoME-V & CEPE Net-2020
Subtitle of host publication	Condition Monitoring, Plant Maintenance and Reliability
Editors	Dong Zhen, Dong Wang, Tianyang Wang, Hongjun Wang, Baoshan Huang, Jyoti K. Sinha, Andrew David Ball
Place of Publication	Cham
Publisher	Springer Nature Switzerland AG
Pages	882-894
Number of pages	13
Volume	105
Edition	1st
ISBN (Electronic)	9783030757939
ISBN (Print)	9783030757922
DOIs	https://doi.org/10.1007/978-3-030-75793-9_82
Publication status	Published - 16 May 2021
Event	5th International Conference on Maintenance Engineering and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network - Zhuhai, China Duration: 23 Oct 2020 → 25 Oct 2020 Conference number: 5 https://link.springer.com/book/10.1007/978-3-030-75793-9#about

Publication series

Name	Mechanisms and Machine Science
Volume	105
ISSN (Print)	2211-0984
ISSN (Electronic)	2211-0992

Conference

Conference	5th International Conference on Maintenance Engineering and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network
Abbreviated title	IncoME-V and CEPE Net-2020
Country/Territory	China
City	Zhuhai
Period	23/10/20 → 25/10/20
Internet address	https://link.springer.com/book/10.1007/978-3-030-75793-9#about

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Li, M., Feng, G., Gu, F., & Ball, A. (2021). Investigating into Minimum Detectable Displacement Signal in Image-Based Vibration Measurement. In D. Zhen, D. Wang, T. Wang, H. Wang, B. Huang, J. K. Sinha, & A. D. Ball (Eds.), Proceedings of IncoME-V & CEPE Net-2020: Condition Monitoring, Plant Maintenance and Reliability (1st ed., Vol. 105, pp. 882-894). (Mechanisms and Machine Science; Vol. 105). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-030-75793-9_82

Li, Miaoshuo ; Feng, Guojin ; Gu, Fengshou et al. / Investigating into Minimum Detectable Displacement Signal in Image-Based Vibration Measurement. Proceedings of IncoME-V & CEPE Net-2020: Condition Monitoring, Plant Maintenance and Reliability. editor / Dong Zhen ; Dong Wang ; Tianyang Wang ; Hongjun Wang ; Baoshan Huang ; Jyoti K. Sinha ; Andrew David Ball. Vol. 105 1st. ed. Cham : Springer Nature Switzerland AG, 2021. pp. 882-894 (Mechanisms and Machine Science).

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title = "Investigating into Minimum Detectable Displacement Signal in Image-Based Vibration Measurement",

abstract = "Image-based vibration measurement is becoming more and more popular due to its critical advantages of non-contact and full-field measurement. However, the minimum detectable displacement of a measurement system still lacks a theoretical study and experimental verification. When measuring vibration displacement of micron scale, it becomes difficult to distinguish the signal from noises. Therefore, this paper puts forward an explicit equation to calculate the minimum detectable signal (MDS) of displacement in vibration measurement using high-speed camera. The influence factors including blurring, color depth, image noise, and resolution are all included in the equation, which presents how these factors impact on the MDS. A simulation test is conducted on synthetic image and results show a great agreement with theoretical prediction. Furthermore, the equation of MDS is validated by an experimental study on modal analysis.",

keywords = "Image-based vibration measurement, Minimum detectable signal, Modal analysis, Quantization error, Signal-to-noise and distortion ratio",

author = "Miaoshuo Li and Guojin Feng and Fengshou Gu and Andrew Ball",

note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 5th International Conference on Maintenance Engineering and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network, IncoME-V and CEPE Net-2020 ; Conference date: 23-10-2020 Through 25-10-2020",

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Li, M, Feng, G, Gu, F & Ball, A 2021, Investigating into Minimum Detectable Displacement Signal in Image-Based Vibration Measurement. in D Zhen, D Wang, T Wang, H Wang, B Huang, JK Sinha & AD Ball (eds), Proceedings of IncoME-V & CEPE Net-2020: Condition Monitoring, Plant Maintenance and Reliability. 1st edn, vol. 105, Mechanisms and Machine Science, vol. 105, Springer Nature Switzerland AG, Cham, pp. 882-894, 5th International Conference on Maintenance Engineering and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network, Zhuhai, China, 23/10/20. https://doi.org/10.1007/978-3-030-75793-9_82

Investigating into Minimum Detectable Displacement Signal in Image-Based Vibration Measurement. / Li, Miaoshuo; Feng, Guojin; Gu, Fengshou et al.

Proceedings of IncoME-V & CEPE Net-2020: Condition Monitoring, Plant Maintenance and Reliability. ed. / Dong Zhen; Dong Wang; Tianyang Wang; Hongjun Wang; Baoshan Huang; Jyoti K. Sinha; Andrew David Ball. Vol. 105 1st. ed. Cham : Springer Nature Switzerland AG, 2021. p. 882-894 (Mechanisms and Machine Science; Vol. 105).

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

TY - GEN

T1 - Investigating into Minimum Detectable Displacement Signal in Image-Based Vibration Measurement

AU - Li, Miaoshuo

AU - Feng, Guojin

AU - Gu, Fengshou

AU - Ball, Andrew

N1 - Conference code: 5

PY - 2021/5/16

Y1 - 2021/5/16

N2 - Image-based vibration measurement is becoming more and more popular due to its critical advantages of non-contact and full-field measurement. However, the minimum detectable displacement of a measurement system still lacks a theoretical study and experimental verification. When measuring vibration displacement of micron scale, it becomes difficult to distinguish the signal from noises. Therefore, this paper puts forward an explicit equation to calculate the minimum detectable signal (MDS) of displacement in vibration measurement using high-speed camera. The influence factors including blurring, color depth, image noise, and resolution are all included in the equation, which presents how these factors impact on the MDS. A simulation test is conducted on synthetic image and results show a great agreement with theoretical prediction. Furthermore, the equation of MDS is validated by an experimental study on modal analysis.

AB - Image-based vibration measurement is becoming more and more popular due to its critical advantages of non-contact and full-field measurement. However, the minimum detectable displacement of a measurement system still lacks a theoretical study and experimental verification. When measuring vibration displacement of micron scale, it becomes difficult to distinguish the signal from noises. Therefore, this paper puts forward an explicit equation to calculate the minimum detectable signal (MDS) of displacement in vibration measurement using high-speed camera. The influence factors including blurring, color depth, image noise, and resolution are all included in the equation, which presents how these factors impact on the MDS. A simulation test is conducted on synthetic image and results show a great agreement with theoretical prediction. Furthermore, the equation of MDS is validated by an experimental study on modal analysis.

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A2 - Wang, Tianyang

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A2 - Ball, Andrew David

PB - Springer Nature Switzerland AG

CY - Cham

T2 - 5th International Conference on Maintenance Engineering and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network

Y2 - 23 October 2020 through 25 October 2020

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Li M, Feng G, Gu F , Ball A. Investigating into Minimum Detectable Displacement Signal in Image-Based Vibration Measurement. In Zhen D, Wang D, Wang T, Wang H, Huang B, Sinha JK, Ball AD, editors, Proceedings of IncoME-V & CEPE Net-2020: Condition Monitoring, Plant Maintenance and Reliability. 1st ed. Vol. 105. Cham: Springer Nature Switzerland AG. 2021. p. 882-894. (Mechanisms and Machine Science). Epub 2021 May 16. doi: 10.1007/978-3-030-75793-9_82

Investigating into Minimum Detectable Displacement Signal in Image-Based Vibration Measurement

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