Acoustic Vibration Approach for Detecting Faults in Hydroelectric Units: A Review

被引:19
作者
Dao, Fang [1 ]
Zeng, Yun [1 ]
Zou, Yidong [1 ]
Li, Xiang [1 ]
Qian, Jing [1 ]
机构
[1] Kunming Univ Sci & Technol, Fac Met & Energy Engn, Kunming 650031, Yunnan, Peoples R China
关键词
hydroelectric generator; acoustic vibration signal; fault detection; crack; de-noising; INDEPENDENT COMPONENT ANALYSIS; HYDRAULIC-TURBINES; EMISSION SIGNALS; RUNNER BLADE; CRACK; LOCALIZATION; PROPAGATION; REJECTION; DIAGNOSIS; SYSTEM;
D O I
10.3390/en14237840
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The health of the hydroelectric generator determines the safe, stable, and reliable operation of the hydropower station. In order to keep the hydroelectric generator in a better state of health and avoid accidents, it is crucial to detect its faults. In recent years, fault detection methods based on sound and vibration signals have gradually become research hotspots due to their high sensitivity, achievable continuous dynamic monitoring, and easy adaptation to complex environments. Therefore, this paper is a supplement to the existing state monitoring and fault diagnosis system of the hydroelectric generator; it divides the hydroelectric generator into two significant parts: hydro-generator and hydro-turbine, and summarizes the research and application of fault detect technology based on sound signal vibration in hydroelectric generator and introduces some new technology developments in recent years, and puts forward the existing problems in the current research and future development directions, and it is expected to provides some reference for the research on fault diagnosis of the hydroelectric generator.
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收藏
页数:16
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共 76 条
  • [1] Wavelet base selection for de-noising and extraction of partial discharge pulses in noisy environment
    Altay, Ozkan
    Kalenderli, Ozcan
    [J]. IET SCIENCE MEASUREMENT & TECHNOLOGY, 2015, 9 (03) : 276 - 284
  • [2] Novel Features and PRPD Image Denoising Method for Improved Single-Source Partial Discharges Classification in On-Line Hydro-Generators
    Araujo, Ramon C. F.
    de Oliveira, Rodrigo M. S.
    Brasil, Fernando S.
    Barros, Fabricio J. B.
    [J]. ENERGIES, 2021, 14 (11)
  • [3] Prediction of cavitation and its mitigation techniques in hydraulic turbines-A review
    Brijkishore
    Khare, Ruchi
    Prasad, Vishnu
    [J]. OCEAN ENGINEERING, 2021, 221 (221)
  • [4] Short Review of the Use of Acoustic Emissions for Detection and Monitoring of Cracks
    Carrasco, Alvaro
    Mendez, Franco
    Leaman, Felix
    Molina Vicuna, Cristian
    [J]. ACOUSTICS AUSTRALIA, 2021, 49 (02) : 273 - 280
  • [5] Identification of partial discharges immersed in noise in large hydro-generators based on improved wavelet selection methods
    Carvalho, Andre T.
    Lima, Antonio C. S.
    Cunha, Caio F. F. C.
    Petraglia, Mariane
    [J]. MEASUREMENT, 2015, 75 : 122 - 133
  • [6] Chan JC, 2012, AUSTR UNIV POWER ENG
  • [7] Acoustic vibration technology: Toward a promising fruit quality detection method
    Ding, Chengqiao
    Feng, Zhe
    Wang, Dachen
    Cui, Di
    Li, Weihao
    [J]. COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY, 2021, 20 (02) : 1655 - 1680
  • [8] Impact of Real Air-Gap Nonuniformity on the Electromagnetic Forces of a Large Hydro-Generator
    Dirani, Hind C.
    Merkhouf, Arezki
    Giroux, Anne-Marie
    Kedjar, Bachir
    Al-Haddad, Kamal
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2018, 65 (11) : 8464 - 8475
  • [9] DE-NOISING BY SOFT-THRESHOLDING
    DONOHO, DL
    [J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 1995, 41 (03) : 613 - 627
  • [10] Hydraulic turbines - basic principles and state-of-the-art computational fluid dynamics applications
    Drtina, P
    Sallaberger, M
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 1999, 213 (01) : 85 - 102