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  1. .gitattributes +5 -0
  2. Data/XJTU-SY_Bearing_Datasets.part01.rar +3 -0
  3. Data/XJTU-SY_Bearing_Datasets.part02.rar +3 -0
  4. Data/XJTU-SY_Bearing_Datasets.part03.rar +3 -0
  5. Data/XJTU-SY_Bearing_Datasets.part04.rar +3 -0
  6. Data/XJTU-SY_Bearing_Datasets.part05.rar +3 -0
  7. Data/XJTU-SY_Bearing_Datasets.part06.rar +3 -0
  8. Data/【Note】Please download all files and unzip them using WinRAR.txt +6 -0
  9. Data/【Note】请下载所有文件，然后放在一起解压.txt +7 -0
  10. Download_Links_20190306.txt +21 -0
  11. Important References/A hybrid prognostics approach for estimating remaining useful life of rolling element bearings.pdf +3 -0
  12. Important References/Deep separable convolutional network for remaining useful life prediction of machinery.pdf +3 -0
  13. Important References/Multi-Scale Convolutional Attention Network for Predicting Remaining Useful Life of Machinery.pdf +3 -0
  14. Important References/Recurrent convolutional neural network A new framework for remaining useful life prediction of machinery.pdf +3 -0
  15. Important References/XJTU-SY滚动轴承加速寿命试验数据集解读.pdf +3 -0
  16. Photographs/Failure Bearing Photographs.rar +3 -0
  17. Photographs/Normal Bearing Photograph.rar +3 -0
  18. Photographs/Testbed Photographs.rar +3 -0
  19. ReadMe.txt +18 -0
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  # Video files - compressed
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+ Important[[:space:]]References/Multi-Scale[[:space:]]Convolutional[[:space:]]Attention[[:space:]]Network[[:space:]]for[[:space:]]Predicting[[:space:]]Remaining[[:space:]]Useful[[:space:]]Life[[:space:]]of[[:space:]]Machinery.pdf filter=lfs diff=lfs merge=lfs -text
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+ Important[[:space:]]References/Deep[[:space:]]separable[[:space:]]convolutional[[:space:]]network[[:space:]]for[[:space:]]remaining[[:space:]]useful[[:space:]]life[[:space:]]prediction[[:space:]]of[[:space:]]machinery.pdf filter=lfs diff=lfs merge=lfs -text
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+ Important[[:space:]]References/A[[:space:]]hybrid[[:space:]]prognostics[[:space:]]approach[[:space:]]for[[:space:]]estimating[[:space:]]remaining[[:space:]]useful[[:space:]]life[[:space:]]of[[:space:]]rolling[[:space:]]element[[:space:]]bearings.pdf filter=lfs diff=lfs merge=lfs -text
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+ Important[[:space:]]References/XJTU-SY滚动轴承加速寿命试验数据集解读.pdf filter=lfs diff=lfs merge=lfs -text
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+ Important[[:space:]]References/Recurrent[[:space:]]convolutional[[:space:]]neural[[:space:]]network[[:space:]]A[[:space:]]new[[:space:]]framework[[:space:]]for[[:space:]]remaining[[:space:]]useful[[:space:]]life[[:space:]]prediction[[:space:]]of[[:space:]]machinery.pdf filter=lfs diff=lfs merge=lfs -text
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+ Please download all RAR files, and then unzip them using WinRAR software.
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+
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+ If you have any questions, pleases send email to me: wangbiaoxjtu@outlook.com
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+
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+ Biao Wang
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+ 2019.8.25
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+ �������⣬�������ϵ���ˣ����䣺wangbiaoxjtu@outlook.com
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+ 2019.8.25
Download_Links_20190306.txt ADDED
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+ XJTU-SY bearing datasets can be downloaded by the following links:
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+
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+ 1) Google Drive: https://drive.google.com/open?id=1_ycmG46PARiykt82ShfnFfyQsaXv3_VK
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+
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+ 2) Dropbox: https://www.dropbox.com/sh/qka3b73wuvn5l7a/AADr6oXKbafhOlrBLCNgonzua?dl=0
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+
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+ 3) MediaFire: http://www.mediafire.com/folder/m3sij67rizpb4/XJTU-SY_Bearing_Datasets
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+
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+ 4) MEGA: https://mega.nz/#F!H7pnGKBK!PR8qUShaLlJjwrPf3SlBjw
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+
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+ 5) Baidu Netdisk: https://pan.baidu.com/s/1OaY82azTXHBwjiCjA_jRcw
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+
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+ 6) Tencent weiyun: https://share.weiyun.com/5zLCgBL
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+
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+ If you have any questions or suggestions, please contact me:
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+
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+ Biao Wang
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+ Email: wangbiaoxjtu@outlook.com
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+ Website: biaowang.tech
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+
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+
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+ NOTE: Please download all folders��
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+ "Data" folder contains all bearing datasets.
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+ "Important References" folder contains some research papers that are related to XJTU-SY bearing datasets.
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+ "Photographs" folder contains the photographs of bearing testbed and failure bearings.
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+
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+ NOTE: All zip files are made by WinRAR software. If you cannot unzip them, please email to me: wangbiaoxjtu@outlook.com.
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+
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+ In addition, sometimes one of these download links may not work. So, I will update the disabled link in time on my website (biaowang.tech).
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+
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+ If you find the disabled link is not updated in time, please send email to me (wangbiaoxjtu@outlook.com).
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+ Besides, if you use Dropbox to download the datasets, you should
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+ 1) save all files to your Dropbox;
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+ 2) download them in your account.
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+
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+ Thanks,
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+
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+ Biao Wang