Experimental Investigation on the Propeller Imbalance Detection via On-Rotor Sensing Vibration for Industrial Drone

Yubin Lin; Chun Li; Shiqing Huang; Dawei Shi; Rongfeng Deng; Guojin Feng; Fengshou Gu

doi:10.1007/978-3-031-26193-0_94

Experimental Investigation on the Propeller Imbalance Detection via On-Rotor Sensing Vibration for Industrial Drone

Yubin Lin, Chun Li, Shiqing Huang, Dawei Shi, Rongfeng Deng, Guojin Feng, Fengshou Gu

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

2 Citations (Scopus)

Abstract

Reliability and condition monitoring of mechanical components of industrial drones are crucial for their safe operation. The propeller-motor system is the most critical part of the industrial drone. Among that, detecting the imbalance fault of the propeller is challenging. However, it seriously affects the operation performance by additional vibration due to the imbalance fault and even causes a catastrophic accident. This paper proposes an On-Rotor Sensing (ORS) monitoring method for propeller imbalance fault detection, which uses a cost-efficient MEMS accelerometer mounted in the center of the motor-propeller system to obtain the vibration signal directly for analysis. The experimental results show that this method can identify the slight imbalance fault by approximately 0.25% of the propeller weight. This monitoring method has an economy and robustness for large industrial drones. It also has the potential to detect the other early faults of industrial drones.

Original language	English
Title of host publication	Proceedings of TEPEN 2022
Subtitle of host publication	Efficiency and Performance Engineering Network
Editors	Hao Zhang, Yongjian Ji, Tongtong Liu, Xiuquan Sun, Andrew David Ball
Publisher	Springer, Cham
Pages	1079-1087
Number of pages	9
Volume	129
ISBN (Electronic)	9783031261930
ISBN (Print)	9783031261923, 9783031261954
DOIs	https://doi.org/10.1007/978-3-031-26193-0_94
Publication status	Published - 4 Mar 2023
Event	International Conference of The Efficiency and Performance Engineering Network 2022 - Baotou, China Duration: 18 Aug 2022 → 21 Aug 2022 https://tepen.net/ https://tepen.net/conference/tepen2022/

Publication series

Name	Mechanisms and Machine Science
Publisher	Springer
Volume	129 MMS
ISSN (Print)	2211-0984
ISSN (Electronic)	2211-0992

Conference

Conference	International Conference of The Efficiency and Performance Engineering Network 2022
Abbreviated title	TEPEN 2022
Country/Territory	China
City	Baotou
Period	18/08/22 → 21/08/22
Internet address	https://tepen.net/ https://tepen.net/conference/tepen2022/

UN SDGs

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

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10.1007/978-3-031-26193-0_94Licence: Unspecified

Cite this

Lin, Y., Li, C., Huang, S., Shi, D., Deng, R., Feng, G., & Gu, F. (2023). Experimental Investigation on the Propeller Imbalance Detection via On-Rotor Sensing Vibration for Industrial Drone. In H. Zhang, Y. Ji, T. Liu, X. Sun, & A. D. Ball (Eds.), Proceedings of TEPEN 2022 : Efficiency and Performance Engineering Network (Vol. 129, pp. 1079-1087). (Mechanisms and Machine Science; Vol. 129 MMS). Springer, Cham. https://doi.org/10.1007/978-3-031-26193-0_94

Lin, Yubin ; Li, Chun ; Huang, Shiqing et al. / Experimental Investigation on the Propeller Imbalance Detection via On-Rotor Sensing Vibration for Industrial Drone. Proceedings of TEPEN 2022 : Efficiency and Performance Engineering Network. editor / Hao Zhang ; Yongjian Ji ; Tongtong Liu ; Xiuquan Sun ; Andrew David Ball. Vol. 129 Springer, Cham, 2023. pp. 1079-1087 (Mechanisms and Machine Science).

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title = "Experimental Investigation on the Propeller Imbalance Detection via On-Rotor Sensing Vibration for Industrial Drone",

abstract = "Reliability and condition monitoring of mechanical components of industrial drones are crucial for their safe operation. The propeller-motor system is the most critical part of the industrial drone. Among that, detecting the imbalance fault of the propeller is challenging. However, it seriously affects the operation performance by additional vibration due to the imbalance fault and even causes a catastrophic accident. This paper proposes an On-Rotor Sensing (ORS) monitoring method for propeller imbalance fault detection, which uses a cost-efficient MEMS accelerometer mounted in the center of the motor-propeller system to obtain the vibration signal directly for analysis. The experimental results show that this method can identify the slight imbalance fault by approximately 0.25% of the propeller weight. This monitoring method has an economy and robustness for large industrial drones. It also has the potential to detect the other early faults of industrial drones.",

keywords = "Condition monitoring, Fault detection, Industrial drone, On-Rotor Sensing vibration, Propeller imbalance",

author = "Yubin Lin and Chun Li and Shiqing Huang and Dawei Shi and Rongfeng Deng and Guojin Feng and Fengshou Gu",

note = "Funding Information: Acknowledgement. This work was supported by the Special Projects in Key Areas of the Guangdong Provincial Education Department (NO. 2022ZDZX3044), the Special Innovation Project of Guangdong Provincial Education Department (NO. 2022KTSCX199), and the Young Innovative Talents Project of Guangdong Provincial Education Department (NO. 2022KQNCX154). Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference of The Efficiency and Performance Engineering Network 2022, TEPEN 2022 ; Conference date: 18-08-2022 Through 21-08-2022",

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Lin, Y, Li, C, Huang, S, Shi, D, Deng, R, Feng, G & Gu, F 2023, Experimental Investigation on the Propeller Imbalance Detection via On-Rotor Sensing Vibration for Industrial Drone. in H Zhang, Y Ji, T Liu, X Sun & AD Ball (eds), Proceedings of TEPEN 2022 : Efficiency and Performance Engineering Network. vol. 129, Mechanisms and Machine Science, vol. 129 MMS, Springer, Cham, pp. 1079-1087, International Conference of The Efficiency and Performance Engineering Network 2022, Baotou, China, 18/08/22. https://doi.org/10.1007/978-3-031-26193-0_94

Experimental Investigation on the Propeller Imbalance Detection via On-Rotor Sensing Vibration for Industrial Drone. / Lin, Yubin; Li, Chun; Huang, Shiqing et al.

Proceedings of TEPEN 2022 : Efficiency and Performance Engineering Network. ed. / Hao Zhang; Yongjian Ji; Tongtong Liu; Xiuquan Sun; Andrew David Ball. Vol. 129 Springer, Cham, 2023. p. 1079-1087 (Mechanisms and Machine Science; Vol. 129 MMS).

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

TY - GEN

T1 - Experimental Investigation on the Propeller Imbalance Detection via On-Rotor Sensing Vibration for Industrial Drone

AU - Lin, Yubin

AU - Li, Chun

AU - Huang, Shiqing

AU - Shi, Dawei

AU - Deng, Rongfeng

AU - Feng, Guojin

AU - Gu, Fengshou

N1 - Funding Information: Acknowledgement. This work was supported by the Special Projects in Key Areas of the Guangdong Provincial Education Department (NO. 2022ZDZX3044), the Special Innovation Project of Guangdong Provincial Education Department (NO. 2022KTSCX199), and the Young Innovative Talents Project of Guangdong Provincial Education Department (NO. 2022KQNCX154). Publisher Copyright: © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

PY - 2023/3/4

Y1 - 2023/3/4

N2 - Reliability and condition monitoring of mechanical components of industrial drones are crucial for their safe operation. The propeller-motor system is the most critical part of the industrial drone. Among that, detecting the imbalance fault of the propeller is challenging. However, it seriously affects the operation performance by additional vibration due to the imbalance fault and even causes a catastrophic accident. This paper proposes an On-Rotor Sensing (ORS) monitoring method for propeller imbalance fault detection, which uses a cost-efficient MEMS accelerometer mounted in the center of the motor-propeller system to obtain the vibration signal directly for analysis. The experimental results show that this method can identify the slight imbalance fault by approximately 0.25% of the propeller weight. This monitoring method has an economy and robustness for large industrial drones. It also has the potential to detect the other early faults of industrial drones.

AB - Reliability and condition monitoring of mechanical components of industrial drones are crucial for their safe operation. The propeller-motor system is the most critical part of the industrial drone. Among that, detecting the imbalance fault of the propeller is challenging. However, it seriously affects the operation performance by additional vibration due to the imbalance fault and even causes a catastrophic accident. This paper proposes an On-Rotor Sensing (ORS) monitoring method for propeller imbalance fault detection, which uses a cost-efficient MEMS accelerometer mounted in the center of the motor-propeller system to obtain the vibration signal directly for analysis. The experimental results show that this method can identify the slight imbalance fault by approximately 0.25% of the propeller weight. This monitoring method has an economy and robustness for large industrial drones. It also has the potential to detect the other early faults of industrial drones.

KW - Condition monitoring

KW - Fault detection

KW - Industrial drone

KW - On-Rotor Sensing vibration

KW - Propeller imbalance

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U2 - 10.1007/978-3-031-26193-0_94

DO - 10.1007/978-3-031-26193-0_94

M3 - Conference contribution

AN - SCOPUS:85151151679

SN - 9783031261923

SN - 9783031261954

VL - 129

T3 - Mechanisms and Machine Science

SP - 1079

EP - 1087

BT - Proceedings of TEPEN 2022

A2 - Zhang, Hao

A2 - Ji, Yongjian

A2 - Liu, Tongtong

A2 - Sun, Xiuquan

A2 - Ball, Andrew David

PB - Springer, Cham

T2 - International Conference of The Efficiency and Performance Engineering Network 2022

Y2 - 18 August 2022 through 21 August 2022

ER -

Lin Y, Li C, Huang S, Shi D, Deng R, Feng G et al. Experimental Investigation on the Propeller Imbalance Detection via On-Rotor Sensing Vibration for Industrial Drone. In Zhang H, Ji Y, Liu T, Sun X, Ball AD, editors, Proceedings of TEPEN 2022 : Efficiency and Performance Engineering Network. Vol. 129. Springer, Cham. 2023. p. 1079-1087. (Mechanisms and Machine Science). Epub 2023 Mar 3. doi: 10.1007/978-3-031-26193-0_94

Experimental Investigation on the Propeller Imbalance Detection via On-Rotor Sensing Vibration for Industrial Drone

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