Magnetostriction and its Relation to the No-Load Noise of Power Transformers

被引:0
作者
Tanzer, Thomas [1 ]
Pregartner, Helmut [1 ]
Labinsky, Robert [1 ]
Witlatschil, Michael [1 ]
Muetze, Annette [2 ]
Krischan, Klaus [2 ]
机构
[1] Siemens AG Austria, Transformers Weiz, Weiz, Austria
[2] Univ Technol, Elect Drives & Machines Inst, Graz, Austria
来源
2017 IEEE INTERNATIONAL ELECTRIC MACHINES AND DRIVES CONFERENCE (IEMDC) | 2017年
关键词
acceleration transducers; core noise; grain-oriented electrical steel; magnetostriction; magnetostrictive properties; no-load noise; power transformers; steel coil; vibration velocity;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this study, the magnetostrictive properties of grain-oriented electrical steel (GOES) are evaluated and their effect on the model transformers' core noise is presented. One main source of a power transformer's (PT) no-load noise is the magnetostrictive vibration of the magnetic core built with stacked GOES sheets. With an in-house coil measurement system (CMS), the magnetostrictive properties of GOES coils up to six tons were determined. The investigation resulted in the identification of GOES material with very low magnetostriction. Compared to a common low noise material, proved with transformer noise measurements, the newly identified material had an even better magnetostrictive performance. Out of two GOES coils, with different magnetostrictive properties, in total eight model transformers were manufactured. An analysis of the measured magnetostrictive properties of the selected GOES coils is provided with a focus on their relation to the no-load noise of PTs. The correlation between the GOES coils magnetostrictive properties and the model transformers sound pressure levels is evaluated. Performances of the measured magnetostrictive properties of the selected GOES coils are compared and a first relation to the emitted sound pressure levels of the manufactured model transformers is confirmed.
引用
收藏
页数:6
相关论文
共 34 条
  • [21] CS-RVM and its application in fault diagnosis of power transformers
    Yin, J. (yinjinliang2007@126.com), 1600, Electric Power Automation Equipment Press (34): : 111 - 115
  • [22] Numerical analysis and experimental research of vibration and noise characteristics of oil-immersed power transformers
    Miao, Xuhong
    Jiang, Pei
    Pang, Fuzhen
    Tang, Yang
    Li, Haichao
    Qu, Guanglei
    Li, Jun
    APPLIED ACOUSTICS, 2023, 203
  • [23] Contributions to Differences Between On-Site and Factory-Measured Noise Levels of Power Transformers
    Girgis, R.
    Bernesjoe, M.
    IEEE TRANSACTIONS ON POWER DELIVERY, 2015, 30 (01) : 82 - 96
  • [24] Reliability of Parallel Connected Power Transformers with Failure Correlation and its Preventive Maintenance
    Yang, Bo
    2014 17TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS), 2014, : 1044 - 1047
  • [25] Reduction of Power Transformer Core Noise Generation Due to Magnetostriction-Induced Deformations Using Fully Coupled Finite-Element Modeling Optimization Procedures
    Liu, Mingyong
    Hubert, Olivier
    Mininger, Xavier
    Bouillault, Frederic
    Bernard, Laurent
    Waeckerle, Thierry
    IEEE TRANSACTIONS ON MAGNETICS, 2017, 53 (08)
  • [26] Prognostication of Failures Using Signal-to-Noise Ratio to Determine Partial Discharges Activities in Power Transformers
    Aslam, Muhammad
    Rehan, Muhammad Saad
    Albogamy, Fahad R.
    Murawwat, Sadia
    Basit, Abdul
    Hafeez, Ghulam
    IEEE ACCESS, 2022, 10 : 87500 - 87507
  • [27] Impact of Geomagnetically Induced Currents on High Voltage Transformers in Malaysian Power Network and Its Mitigation
    Khurshid, Z. M.
    Ab Aziz, N. F.
    Rhazali, Z. A.
    Ab Kadir, M. Z. A.
    IEEE ACCESS, 2021, 9 : 167204 - 167217
  • [28] Two-Stage Short-Term Load Forecasting for Power Transformers Under Different Substation Operating Conditions
    Liu, Hang
    Wang, Youyuan
    Wei, Chao
    Li, Jiansheng
    Lin, Yuandi
    IEEE ACCESS, 2019, 7 : 161424 - 161436
  • [29] Investigation of the origin of load-controlled vibration of large power transformers by coupled 3D-FEM analysis
    Ertl, Michael
    Probst, Werner
    2006 INTERNATIONAL CONFERENCE ON POWER SYSTEMS TECHNOLOGY: POWERCON, VOLS 1- 6, 2006, : 2729 - +
  • [30] Maximum Fourier spectrum cyclostationarity blind deconvolution and its application in structural health monitoring of power transformers
    He, Wen
    Qin, Limu
    Lu, Yazhong
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2025, 36 (01)