http://iet.metastore.ingenta.com
1887

access icon openaccess Pre-processing approach for de-noising on-line oil chromatography data based on self-adapting wavelet analysis

Loading full text...

Full text loading...

/deliver/fulltext/joe/2019/16/JOE.2018.8362.html;jsessionid=i4bsk9w3idep.x-iet-live-01?itemId=%2fcontent%2fjournals%2f10.1049%2fjoe.2018.8362&mimeType=html&fmt=ahah

References

    1. 1)
      • 1. Sun, C.: ‘Present situation and development of condition on-line monitoring and diagnosetechnology for power transmission and transformation equipment’, Electr. Power, 2005, 38, (2), pp. 17.
    2. 2)
      • 2. Liu, L., He, W., Liu, Y., et al: ‘Analysis software design of on-line monitoring and fault dianose system for power transmission equipmnent’, Cmput. Syst. Appl., 2011, 8, (8), pp. 2732.
    3. 3)
      • 3. Liazg, Y., Cao, Y.: ‘Application of transformer oil chromatographic analysis technology to equipmentcondition maintenance’, Transformer, 2011, 12, (12), pp. 6771.
    4. 4)
      • 4. Guan, G., He, J.: ‘On-line insulation monitoring techniques and condition maintenance of electric equipment’, Transformer, 2004, 39, (z1), pp. 4650.
    5. 5)
      • 5. Zhang, H., Zhu, S., Zhang, Y., et al: ‘Research and implementation of condition-based maintencance technology system for power transmission and distribution equipment’, Power Syst. Techonol., 2009, 33, (1), pp. 7073.
    6. 6)
      • 6. Guo, B., Yang, X.: ‘Analysis on development and application of monitoring technique for electric power devices in chin’, Power Syst. Techonol., 2004, 23, (8), pp. 6568.
http://iet.metastore.ingenta.com/content/journals/10.1049/joe.2018.8362
Loading

Related content

content/journals/10.1049/joe.2018.8362
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address