Computational Intelligence Algorithm based Condition Monitoring System for Power Transformer

被引：0
作者：
Ballal, Makarand Sudhakar [1 ]
Suryawanshi, Hiralal Murlidhar [1 ]
Ballal, Deepali Makarand [2 ]
Choudhari, Bhupesh Nemichand [3 ]
机构：
[1] Visvesvaraya Natl Inst Technol, Dept Elect Engn, Nagpur, Maharashtra, India
[2] Maharashtra State Elect Transmiss Co Ltd, Nagpur, Maharashtra, India
[3] PES Coll Engn, Dept Elect Engn, Aurangabad, Maharashtra, India
来源：
2013 IEEE 1ST INTERNATIONAL CONFERENCE ON CONDITION ASSESSMENT TECHNIQUES IN ELECTRICAL SYSTEMS (CATCON) | 2013年
关键词：
Computational Intelligence Algorithm (CIA); Condition Monitoring System (CMS); Normal Operating Region (NOR) and Abnormal Operating Region (AOR); FREQUENCY-RESPONSE ANALYSIS; INSULATION;
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：
This paper presents Computational Intelligence Algorithm (CIA) based Condition Monitoring System (CMS) for Power Transformer. The online as well as offline data is used for making the decision. The mechanism is developed for real time application using the analogue to digital interfacing system for data transmission. Performance is tested for 132/33 kV, 25 MVA Power Transformer connected in power system and its results are found satisfactory.
引用
收藏
页码：154 / 159
页数：6
相关论文
共 50 条
  • [41] Recurrence Plot-Aided Deep Learning Framework for Condition Monitoring of Transformer Insulation Using Fourier Transform Infrared Spectroscopy
    Das, Suchandan
    Paramane, Ashish
    Chatterjee, Soumya
    Mishra, Palash
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2024, 60 (06) : 8393 - 8402
  • [42] Modeling of a power transformer winding for deformation detection based on frequency response analysis
    Almas, Shintemirov
    Tang, Wenhu
    Wu, Q. H.
    PROCEEDINGS OF THE 26TH CHINESE CONTROL CONFERENCE, VOL 5, 2007, : 506 - +
  • [43] S-Taper Fiber Based Moisture Sensing in Power Transformer Oil
    Jiang, Jun
    Wu, Ruihan
    Liu, Jinfeng
    Wu, Xuerui
    Wu, Qiang
    Ranjan, Prem
    Zhang, Xiaoqin
    Liu, Jun
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 72
  • [44] The Method for On-Line Monitoring of tanδ of Transformer Bushing Based on Conductor Temperature Distribution
    Yang, Zhifei
    Ruan, Jiangjun
    Du, Zhiye
    Qiu, Zhibin
    Zhou, Taotao
    Tang, Liezheng
    Zhang, Bihui
    JOURNAL OF NANOELECTRONICS AND OPTOELECTRONICS, 2019, 14 (08) : 1168 - 1176
  • [45] Detection of Structure Deformation and Insulation Condition for Transformer Windings Based on High-Voltage Oscillating Wave
    Wu, Zhenyu
    Tao, Jianxiong
    Liu, Yongbin
    He, Tao
    Lu, Siliang
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2025, 74
  • [46] Condition Assessment of Power Transformer Insulation Using Short-Duration Time-Domain Dielectric Spectroscopy Measurement Data
    Mishra, Deepak
    Baral, Arijit
    Haque, Nasirul
    Chakravorti, Sivaji
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 69 (07) : 4404 - 4411
  • [47] Artificial Neural Network Based Identification of Deviation in Frequency Response of Power Transformer Windings
    Gandhi, Ketan R.
    Badgujar, Ketan P.
    2014 ANNUAL INTERNATIONAL CONFERENCE ON EMERGING RESEARCH AREAS: MAGNETICS, MACHINES AND DRIVES (AICERA/ICMMD), 2014,
  • [48] Six Sigma-Based Frequency Response Analysis for Power Transformer Winding Deformation
    Thango, Bonginkosi A.
    Applied Sciences (Switzerland), 2025, 15 (07):
  • [49] Real-time transformer oil monitoring using planar frequency-based sensor
    Srivastava, Rajat
    Kumar, Yogesh
    Banerjee, Shaibal
    Kale, S. N.
    SENSORS AND ACTUATORS A-PHYSICAL, 2022, 347
  • [50] Power transformers monitoring based on electrical measurements: state of the art
    Meira, Matias
    Ruschetti, Cristian R.
    Alvarez, Raul E.
    Verucchi, Carlos J.
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2018, 12 (12) : 2805 - 2815
12345