A novel temporal convolutional network via enhancing feature extraction for the chiller fault diagnosis

Authors:
  • CLChengdong Li
    Chengdong Li
  • CSCunxiao Shen
    Cunxiao Shen
  • HZHanyuan Zhang
    Hanyuan Zhang
  • HSHongchang Sun
    Hongchang Sun
  • SMSongping Meng
    Songping Meng

Abstract
No abstract available
Funding Information
  • Taishan Scholar Project of Shandong Province (TSQN201812092, 2019JZZY010115, 2019KJN005, 61903226, 62003191, 62076150, ZR2020QF072)
  • Key Technology Research and Development Program of Shandong Province (TSQN201812092, 2019JZZY010115, 2019KJN005, 61903226, 62003191, 62076150, ZR2020QF072)
  • Youth Innovation Technology Project of Higher School in Shandong Province (TSQN201812092, 2019JZZY010115, 2019KJN005, 61903226, 62003191, 62076150, ZR2020QF072)
  • National Natural Science Foundation of China (TSQN201812092, 2019JZZY010115, 2019KJN005, 61903226, 62003191, 62076150, ZR2020QF072)
  • Natural Science Foundation of Shandong Province (TSQN201812092, 2019JZZY010115, 2019KJN005, 61903226, 62003191, 62076150, ZR2020QF072)

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