A novel temporal convolutional network via enhancing feature extraction for the chiller fault diagnosis
Authors:
- Chengdong LiCLChengdong Li
- Cunxiao ShenCSCunxiao Shen
- Hanyuan ZhangHZHanyuan Zhang
- Hongchang SunHSHongchang Sun
- Songping MengSMSongping Meng
- 1 October 2021
- journal article
- research article
- Published by Elsevier in Journal of Building Engineering
- Vol. 42
Abstract
No abstract availableKeywords
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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