Development of a mobile APP for the operation monitoring and health management system of a steam turbine

Chuan Chen; Qihong Liu; Chunbao Wang; Quanquan Liu; Lihong Duan; Tongyang Sun; Qing Shi; Yajing Shen; Wanfeng Shang; Weiguang Li; Zhengzhi Wu

doi:10.1109/ICARM.2017.8273193

Development of a mobile APP for the operation monitoring and health management system of a steam turbine

Chuan Chen, Qihong Liu, Chunbao Wang^*, Quanquan Liu, Lihong Duan, Tongyang Sun, Qing Shi, Yajing Shen, Wanfeng Shang, Weiguang Li, Zhengzhi Wu

^*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

1 Citation (Scopus)

Abstract

In order to realize the real-time monitoring of the operation state and predict the possible faults of a steam turbine, a mobile APP based on the steam turbine operation monitoring and health management system is proposed in this paper. Firstly, some common faults which will be encountered in the operation of steam turbine are analyzed and the mechanism and characteristics of the faults are studied. Secondly, the hardware and software platform on the PC are built to diagnose the fault and analyze the trend by combining the methods of wavelet packet decomposition and BP neural network. Finally, the APP on the mobile terminal for the real-time operation monitoring of the steam turbine is developed. Furthermore, the test results of the mobile APP demonstrate that the developed mobile APP can effectively diagnose the fault and predict the trend. It also proved that the developed mobile APP can make the operation monitoring and health management system of the steam turbine run stably and meet the practical application requirements.

Original language	English
Title of host publication	2017 2nd International Conference on Advanced Robotics and Mechatronics, ICARM 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	386-390
Number of pages	5
ISBN (Electronic)	9781538632604
DOIs	https://doi.org/10.1109/ICARM.2017.8273193
Publication status	Published - 2 Jul 2017
Externally published	Yes
Event	2nd International Conference on Advanced Robotics and Mechatronics, ICARM 2017 - Hefei and Tai'an, China Duration: 27 Aug 2017 → 31 Aug 2017

Publication series

Name	2017 2nd International Conference on Advanced Robotics and Mechatronics, ICARM 2017
Volume	2018-January

Conference

Conference	2nd International Conference on Advanced Robotics and Mechatronics, ICARM 2017
Country/Territory	China
City	Hefei and Tai'an
Period	27/08/17 → 31/08/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

Fault Diagnosis
Mobile APP
Operation Monitoring
Steam Turbine
Trend Analysis

Access to Document

10.1109/ICARM.2017.8273193

Cite this

Chen, C., Liu, Q., Wang, C., Liu, Q., Duan, L., Sun, T., Shi, Q., Shen, Y., Shang, W., Li, W., & Wu, Z. (2017). Development of a mobile APP for the operation monitoring and health management system of a steam turbine. In 2017 2nd International Conference on Advanced Robotics and Mechatronics, ICARM 2017 (pp. 386-390). (2017 2nd International Conference on Advanced Robotics and Mechatronics, ICARM 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICARM.2017.8273193

Chen, Chuan ; Liu, Qihong ; Wang, Chunbao et al. / Development of a mobile APP for the operation monitoring and health management system of a steam turbine. 2017 2nd International Conference on Advanced Robotics and Mechatronics, ICARM 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 386-390 (2017 2nd International Conference on Advanced Robotics and Mechatronics, ICARM 2017).

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title = "Development of a mobile APP for the operation monitoring and health management system of a steam turbine",

abstract = "In order to realize the real-time monitoring of the operation state and predict the possible faults of a steam turbine, a mobile APP based on the steam turbine operation monitoring and health management system is proposed in this paper. Firstly, some common faults which will be encountered in the operation of steam turbine are analyzed and the mechanism and characteristics of the faults are studied. Secondly, the hardware and software platform on the PC are built to diagnose the fault and analyze the trend by combining the methods of wavelet packet decomposition and BP neural network. Finally, the APP on the mobile terminal for the real-time operation monitoring of the steam turbine is developed. Furthermore, the test results of the mobile APP demonstrate that the developed mobile APP can effectively diagnose the fault and predict the trend. It also proved that the developed mobile APP can make the operation monitoring and health management system of the steam turbine run stably and meet the practical application requirements.",

keywords = "Fault Diagnosis, Mobile APP, Operation Monitoring, Steam Turbine, Trend Analysis",

author = "Chuan Chen and Qihong Liu and Chunbao Wang and Quanquan Liu and Lihong Duan and Tongyang Sun and Qing Shi and Yajing Shen and Wanfeng Shang and Weiguang Li and Zhengzhi Wu",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2nd International Conference on Advanced Robotics and Mechatronics, ICARM 2017 ; Conference date: 27-08-2017 Through 31-08-2017",

year = "2017",

month = jul,

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doi = "10.1109/ICARM.2017.8273193",

language = "English",

series = "2017 2nd International Conference on Advanced Robotics and Mechatronics, ICARM 2017",

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Chen, C, Liu, Q, Wang, C, Liu, Q, Duan, L, Sun, T, Shi, Q, Shen, Y, Shang, W, Li, W & Wu, Z 2017, Development of a mobile APP for the operation monitoring and health management system of a steam turbine. in 2017 2nd International Conference on Advanced Robotics and Mechatronics, ICARM 2017. 2017 2nd International Conference on Advanced Robotics and Mechatronics, ICARM 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 386-390, 2nd International Conference on Advanced Robotics and Mechatronics, ICARM 2017, Hefei and Tai'an, China, 27/08/17. https://doi.org/10.1109/ICARM.2017.8273193

Development of a mobile APP for the operation monitoring and health management system of a steam turbine. / Chen, Chuan; Liu, Qihong; Wang, Chunbao et al.
2017 2nd International Conference on Advanced Robotics and Mechatronics, ICARM 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 386-390 (2017 2nd International Conference on Advanced Robotics and Mechatronics, ICARM 2017; Vol. 2018-January).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

TY - GEN

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AU - Chen, Chuan

AU - Liu, Qihong

AU - Wang, Chunbao

AU - Liu, Quanquan

AU - Duan, Lihong

AU - Sun, Tongyang

AU - Shi, Qing

AU - Shen, Yajing

AU - Shang, Wanfeng

AU - Li, Weiguang

AU - Wu, Zhengzhi

PY - 2017/7/2

Y1 - 2017/7/2

N2 - In order to realize the real-time monitoring of the operation state and predict the possible faults of a steam turbine, a mobile APP based on the steam turbine operation monitoring and health management system is proposed in this paper. Firstly, some common faults which will be encountered in the operation of steam turbine are analyzed and the mechanism and characteristics of the faults are studied. Secondly, the hardware and software platform on the PC are built to diagnose the fault and analyze the trend by combining the methods of wavelet packet decomposition and BP neural network. Finally, the APP on the mobile terminal for the real-time operation monitoring of the steam turbine is developed. Furthermore, the test results of the mobile APP demonstrate that the developed mobile APP can effectively diagnose the fault and predict the trend. It also proved that the developed mobile APP can make the operation monitoring and health management system of the steam turbine run stably and meet the practical application requirements.

AB - In order to realize the real-time monitoring of the operation state and predict the possible faults of a steam turbine, a mobile APP based on the steam turbine operation monitoring and health management system is proposed in this paper. Firstly, some common faults which will be encountered in the operation of steam turbine are analyzed and the mechanism and characteristics of the faults are studied. Secondly, the hardware and software platform on the PC are built to diagnose the fault and analyze the trend by combining the methods of wavelet packet decomposition and BP neural network. Finally, the APP on the mobile terminal for the real-time operation monitoring of the steam turbine is developed. Furthermore, the test results of the mobile APP demonstrate that the developed mobile APP can effectively diagnose the fault and predict the trend. It also proved that the developed mobile APP can make the operation monitoring and health management system of the steam turbine run stably and meet the practical application requirements.

KW - Fault Diagnosis

KW - Mobile APP

KW - Operation Monitoring

KW - Steam Turbine

KW - Trend Analysis

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M3 - Conference Paper published in a book

T3 - 2017 2nd International Conference on Advanced Robotics and Mechatronics, ICARM 2017

SP - 386

EP - 390

BT - 2017 2nd International Conference on Advanced Robotics and Mechatronics, ICARM 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd International Conference on Advanced Robotics and Mechatronics, ICARM 2017

Y2 - 27 August 2017 through 31 August 2017

ER -

Chen C, Liu Q, Wang C, Liu Q, Duan L, Sun T et al. Development of a mobile APP for the operation monitoring and health management system of a steam turbine. In 2017 2nd International Conference on Advanced Robotics and Mechatronics, ICARM 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 386-390. (2017 2nd International Conference on Advanced Robotics and Mechatronics, ICARM 2017). doi: 10.1109/ICARM.2017.8273193

Development of a mobile APP for the operation monitoring and health management system of a steam turbine

Abstract

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Bibliographical note

Keywords

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