Proceedings of the 2024 2nd International Conference on Management Innovation and Economy Development (MIED 2024)

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Fault Prediction and Health Management Based on Big Data and Its Application in Guide Vanes of Hydropower Units

Authors
Dong Chen1, *
1Gongzui Hydro Power Plant, Guoneng Dadu River Basin Hydropower Development Co., Ltd., Leshan, China
*Corresponding author. Email: 12011065@ceic.com
Corresponding Author
Dong Chen
Available Online 15 October 2024.
DOI
10.2991/978-94-6463-542-3_24How to use a DOI?
Keywords
Big data; GCDEG; Anomaly detection; Fault detection; Health management
Abstract

The development and application of a new generation of artificial intelligence technology equipment has accumulated a large amount of data, driving the fault prediction and health management (PHM) into the industrial big data era. Combined with the functional role, structural composition and working characteristics of the equipment, it is urgent to analyze the equipment big data and realize the condition monitoring, abnormality warning, fault diagnosis, life prediction and intelligent maintenance of the equipment. The abnormal data detection model of GCDEG is proposed. While analyzing the technical connotation, development status and application of the proposed algorithm, the characteristics of big data in equipment industry, analysis methods and the difficulties and doubts in its work are discussed. Taking the guide vane, a key equipment of hydropower unit, as an example, the anomaly detection technology is discussed from the perspective of industrial big data. This could help to provide certain reference for researchers in related fields.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 2nd International Conference on Management Innovation and Economy Development (MIED 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
15 October 2024
ISBN
978-94-6463-542-3
ISSN
2352-5428
DOI
10.2991/978-94-6463-542-3_24How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Dong Chen
PY  - 2024
DA  - 2024/10/15
TI  - Fault Prediction and Health Management Based on Big Data and Its Application in Guide Vanes of Hydropower Units
BT  - Proceedings of the 2024 2nd International Conference on Management Innovation and Economy Development (MIED 2024)
PB  - Atlantis Press
SP  - 176
EP  - 182
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-542-3_24
DO  - 10.2991/978-94-6463-542-3_24
ID  - Chen2024
ER  -