IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v8y2015i2p837-858d45182.html
   My bibliography  Save this article

Contamination Grades Recognition of Ceramic Insulators Using Fused Features of Infrared and Ultraviolet Images

Author

Listed:
  • Lijun Jin

    (School of Electronics and Information Engineering, Tongji University, Shanghai 201804, China
    State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Xi'an 710049, China)

  • Da Zhang

    (School of Electronics and Information Engineering, Tongji University, Shanghai 201804, China)

Abstract

In order to realize the non-contact measurement of ceramic insulator contamination severity, a method based on feature level fusion of infrared (IR) and ultraviolet (UV) image information is proposed in this paper. IR and UV images of artificially polluted insulators were obtained from high voltage experiments at 80%, 85% and 90% RH. After the preprocessing of images, IR and UV features were calculated, respectively. Then, feature selection based on Fisher criterion was adopted to gain features, which have the ability to distinguish different contamination grades effectively. In feature level fusion section, kernel principal component analysis (KPCA) was applied to the dimensionality reduction fusion of IR and UV features and obtain three-dimensional fused features. A particle swarm optimized back propagation neural network (PSO-BPNN) classifier was constructed and trained to recognize the contamination grades. Experimental results indicate that the feature level fusion of IR and UV information based on KPCA has capability to characterize the contamination grades comprehensively. Compared with recognition using IR or UV features separately, recognition based on the feature level fusion is more accurate and effective. This study provides a new methodology for the measurement of insulator contamination severity at working condition.

Suggested Citation

  • Lijun Jin & Da Zhang, 2015. "Contamination Grades Recognition of Ceramic Insulators Using Fused Features of Infrared and Ultraviolet Images," Energies, MDPI, vol. 8(2), pages 1-22, January.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:2:p:837-858:d:45182
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/8/2/837/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/8/2/837/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Weigen Chen & Wanping Wang & Qing Xia & Bing Luo & Licheng Li, 2012. "Insulator Contamination Forecasting Based on Fractal Analysis of Leakage Current," Energies, MDPI, vol. 5(7), pages 1-14, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Irfan Ullah & Rehan Ullah Khan & Fan Yang & Lunchakorn Wuttisittikulkij, 2020. "Deep Learning Image-Based Defect Detection in High Voltage Electrical Equipment," Energies, MDPI, vol. 13(2), pages 1-17, January.
    2. Saiful Mohammad Iezham Suhaimi & Nouruddeen Bashir & Nor Asiah Muhamad & Nurun Najah Abdul Rahim & Noor Azlinda Ahmad & Mohd Nazri Abdul Rahman, 2019. "Surface Discharge Analysis of High Voltage Glass Insulators Using Ultraviolet Pulse Voltage," Energies, MDPI, vol. 12(2), pages 1-26, January.
    3. Luqman Maraaba & Khaled Al-Soufi & Twaha Ssennoga & Azhar M. Memon & Muhammed Y. Worku & Luai M. Alhems, 2022. "Contamination Level Monitoring Techniques for High-Voltage Insulators: A Review," Energies, MDPI, vol. 15(20), pages 1-32, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nurul A. A. Latiff & Hazlee A. Illias & Ab H. A. Bakar & Sameh Z. A. Dabbak, 2018. "Measurement and Modelling of Leakage Current Behaviour in ZnO Surge Arresters under Various Applied Voltage Amplitudes and Pollution Conditions," Energies, MDPI, vol. 11(4), pages 1-16, April.
    2. Xiangxin Li & Ming Zhou & Yazhou Luo & Gang Wang & Lin Jia, 2018. "Effect of Ice Shedding on Discharge Characteristics of an Ice-Covered Insulator String during AC Flashover," Energies, MDPI, vol. 11(9), pages 1-11, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:8:y:2015:i:2:p:837-858:d:45182. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.