Power Consumption Analysis of an On-Rotor Sensing Sensor Node for Motor Vibration Monitoring

Dawei Shi; Yinghang He; Baoshan Huang; Guojin Feng; Chun Li; Wei Wang; Fengshou Gu; Andrew D. Ball

doi:10.1007/978-3-031-49421-5_67

Power Consumption Analysis of an On-Rotor Sensing Sensor Node for Motor Vibration Monitoring

Dawei Shi, Yinghang He, Baoshan Huang, Guojin Feng, Chun Li, Wei Wang, Fengshou Gu, Andrew D. Ball

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

Abstract

With the increasing application of various motors in modern industry, monitoring the motor bearing condition has become crucial for ensuring their reliable operation. In this regard, self-powered On-Rotor Sensing (ORS) technology has emerged as a promising solution for long-term bearings conditional monitoring. However, the power consumption of the wireless ORS sensor node is a critical factor to consider for its effective implementation. In this study, a power consumption analysis of a wireless data acquisition system for motor vibration monitoring, with a focus on the ORS sensor node, has been conducted. We measured the power consumption of each module under different operating conditions, such as sampling rate, transmission interval, and power modes. The analysis revealed that the data collection and transmission module consumed the highest amount (80%) of power among all the modules. Based on our findings, the minimum power supply required for the ORS sensor node to function effectively has been calculated. Additionally, the power consumption trend of the battery, which is a crucial factor to consider for the long-term operation of the ORS sensor node, has been measured.

Original language	English
Title of host publication	Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 2
Editors	Andrew D. Ball, Huajiang Ouyang, Jyoti K. Sinha, Zuolu Wang
Publisher	Springer, Cham
Pages	819-831
Number of pages	13
Volume	152
ISBN (Electronic)	9783031494215
ISBN (Print)	9783031494208, 9783031494239
DOIs	https://doi.org/10.1007/978-3-031-49421-5_67
Publication status	Published - 29 May 2024
Event	The UNIfied Conference of DAMAS, InCoME and TEPEN Conferences - Huddersfield, United Kingdom, Huddersfield, United Kingdom Duration: 29 Aug 2023 → 1 Sept 2023 https://unified2023.org/

Publication series

Name	Mechanisms and Machine Science
Publisher	Springer
Volume	152 MMS
ISSN (Print)	2211-0984
ISSN (Electronic)	2211-0992

Conference

Conference	The UNIfied Conference of DAMAS, InCoME and TEPEN Conferences
Abbreviated title	UNIfied 2023
Country/Territory	United Kingdom
City	Huddersfield
Period	29/08/23 → 1/09/23
Internet address	https://unified2023.org/

UN SDGs

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

Access to Document

10.1007/978-3-031-49421-5_67Licence: Unspecified

Cite this

Shi, D., He, Y., Huang, B., Feng, G., Li, C., Wang, W., Gu, F., & Ball, A. D. (2024). Power Consumption Analysis of an On-Rotor Sensing Sensor Node for Motor Vibration Monitoring. In A. D. Ball, H. Ouyang, J. K. Sinha, & Z. Wang (Eds.), Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 2 (Vol. 152, pp. 819-831). (Mechanisms and Machine Science; Vol. 152 MMS). Springer, Cham. https://doi.org/10.1007/978-3-031-49421-5_67

Shi, Dawei ; He, Yinghang ; Huang, Baoshan et al. / Power Consumption Analysis of an On-Rotor Sensing Sensor Node for Motor Vibration Monitoring. Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 2. editor / Andrew D. Ball ; Huajiang Ouyang ; Jyoti K. Sinha ; Zuolu Wang. Vol. 152 Springer, Cham, 2024. pp. 819-831 (Mechanisms and Machine Science).

@inproceedings{a74a4a5a06694ab5928b146932c4b15b,

title = "Power Consumption Analysis of an On-Rotor Sensing Sensor Node for Motor Vibration Monitoring",

abstract = "With the increasing application of various motors in modern industry, monitoring the motor bearing condition has become crucial for ensuring their reliable operation. In this regard, self-powered On-Rotor Sensing (ORS) technology has emerged as a promising solution for long-term bearings conditional monitoring. However, the power consumption of the wireless ORS sensor node is a critical factor to consider for its effective implementation. In this study, a power consumption analysis of a wireless data acquisition system for motor vibration monitoring, with a focus on the ORS sensor node, has been conducted. We measured the power consumption of each module under different operating conditions, such as sampling rate, transmission interval, and power modes. The analysis revealed that the data collection and transmission module consumed the highest amount (80\%) of power among all the modules. Based on our findings, the minimum power supply required for the ORS sensor node to function effectively has been calculated. Additionally, the power consumption trend of the battery, which is a crucial factor to consider for the long-term operation of the ORS sensor node, has been measured.",

keywords = "BLE5.0, Condition monitoring, On-Rotor Sensing (ORS), Power consumption",

author = "Dawei Shi and Yinghang He and Baoshan Huang and Guojin Feng and Chun Li and Wei Wang and Fengshou Gu and Ball, \{Andrew D.\}",

note = "Funding Information: This work has been supported by the National Natural Science Foundation of China (Grant No. 52275102), the Special Projects in Key Areas of the Education Department of Guangdong Province (Grant No. 2021ZDZX1072) and the 2023 Guangdong Province Science and Technology Innovation Strategy (Climbing Plan Project) Special Fund (No. pdjh2023a0609). Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; The UNIfied Conference of DAMAS, InCoME and TEPEN Conferences, UNIfied 2023 ; Conference date: 29-08-2023 Through 01-09-2023",

year = "2024",

month = may,

day = "29",

doi = "10.1007/978-3-031-49421-5\_67",

language = "English",

isbn = "9783031494208",

volume = "152",

series = "Mechanisms and Machine Science",

publisher = "Springer, Cham",

pages = "819--831",

editor = "Ball, \{Andrew D.\} and Huajiang Ouyang and Sinha, \{Jyoti K.\} and Zuolu Wang",

booktitle = "Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 2",

address = "Switzerland",

url = "https://unified2023.org/",

}

Shi, D, He, Y, Huang, B, Feng, G, Li, C, Wang, W, Gu, F & Ball, AD 2024, Power Consumption Analysis of an On-Rotor Sensing Sensor Node for Motor Vibration Monitoring. in AD Ball, H Ouyang, JK Sinha & Z Wang (eds), Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 2. vol. 152, Mechanisms and Machine Science, vol. 152 MMS, Springer, Cham, pp. 819-831, The UNIfied Conference of DAMAS, InCoME and TEPEN Conferences, Huddersfield, United Kingdom, 29/08/23. https://doi.org/10.1007/978-3-031-49421-5_67

Power Consumption Analysis of an On-Rotor Sensing Sensor Node for Motor Vibration Monitoring. / Shi, Dawei; He, Yinghang; Huang, Baoshan et al.
Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 2. ed. / Andrew D. Ball; Huajiang Ouyang; Jyoti K. Sinha; Zuolu Wang. Vol. 152 Springer, Cham, 2024. p. 819-831 (Mechanisms and Machine Science; Vol. 152 MMS).

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

TY - GEN

T1 - Power Consumption Analysis of an On-Rotor Sensing Sensor Node for Motor Vibration Monitoring

AU - Shi, Dawei

AU - He, Yinghang

AU - Huang, Baoshan

AU - Feng, Guojin

AU - Li, Chun

AU - Wang, Wei

AU - Gu, Fengshou

AU - Ball, Andrew D.

N1 - Funding Information: This work has been supported by the National Natural Science Foundation of China (Grant No. 52275102), the Special Projects in Key Areas of the Education Department of Guangdong Province (Grant No. 2021ZDZX1072) and the 2023 Guangdong Province Science and Technology Innovation Strategy (Climbing Plan Project) Special Fund (No. pdjh2023a0609). Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024/5/29

Y1 - 2024/5/29

N2 - With the increasing application of various motors in modern industry, monitoring the motor bearing condition has become crucial for ensuring their reliable operation. In this regard, self-powered On-Rotor Sensing (ORS) technology has emerged as a promising solution for long-term bearings conditional monitoring. However, the power consumption of the wireless ORS sensor node is a critical factor to consider for its effective implementation. In this study, a power consumption analysis of a wireless data acquisition system for motor vibration monitoring, with a focus on the ORS sensor node, has been conducted. We measured the power consumption of each module under different operating conditions, such as sampling rate, transmission interval, and power modes. The analysis revealed that the data collection and transmission module consumed the highest amount (80%) of power among all the modules. Based on our findings, the minimum power supply required for the ORS sensor node to function effectively has been calculated. Additionally, the power consumption trend of the battery, which is a crucial factor to consider for the long-term operation of the ORS sensor node, has been measured.

AB - With the increasing application of various motors in modern industry, monitoring the motor bearing condition has become crucial for ensuring their reliable operation. In this regard, self-powered On-Rotor Sensing (ORS) technology has emerged as a promising solution for long-term bearings conditional monitoring. However, the power consumption of the wireless ORS sensor node is a critical factor to consider for its effective implementation. In this study, a power consumption analysis of a wireless data acquisition system for motor vibration monitoring, with a focus on the ORS sensor node, has been conducted. We measured the power consumption of each module under different operating conditions, such as sampling rate, transmission interval, and power modes. The analysis revealed that the data collection and transmission module consumed the highest amount (80%) of power among all the modules. Based on our findings, the minimum power supply required for the ORS sensor node to function effectively has been calculated. Additionally, the power consumption trend of the battery, which is a crucial factor to consider for the long-term operation of the ORS sensor node, has been measured.

KW - BLE5.0

KW - Condition monitoring

KW - On-Rotor Sensing (ORS)

KW - Power consumption

UR - https://www.scopus.com/pages/publications/85195549914

UR - https://doi.org/10.1007/978-3-031-49421-5

U2 - 10.1007/978-3-031-49421-5_67

DO - 10.1007/978-3-031-49421-5_67

M3 - Conference contribution

AN - SCOPUS:85195549914

SN - 9783031494208

SN - 9783031494239

VL - 152

T3 - Mechanisms and Machine Science

SP - 819

EP - 831

BT - Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 2

A2 - Ball, Andrew D.

A2 - Ouyang, Huajiang

A2 - Sinha, Jyoti K.

A2 - Wang, Zuolu

PB - Springer, Cham

T2 - The UNIfied Conference of DAMAS, InCoME and TEPEN Conferences

Y2 - 29 August 2023 through 1 September 2023

ER -

Shi D, He Y, Huang B, Feng G, Li C, Wang W et al. Power Consumption Analysis of an On-Rotor Sensing Sensor Node for Motor Vibration Monitoring. In Ball AD, Ouyang H, Sinha JK, Wang Z, editors, Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 2. Vol. 152. Springer, Cham. 2024. p. 819-831. (Mechanisms and Machine Science). Epub 2024 May 28. doi: 10.1007/978-3-031-49421-5_67

Power Consumption Analysis of an On-Rotor Sensing Sensor Node for Motor Vibration Monitoring

Abstract

Publication series

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint