1.State Key Laboratory of Mechanical Transmission,Chongqing University
2.College of Mechanical and Vehicle Engineering,Chongqing University
Online:2023-01-31
Published:2023-02-15
Supported by:
Project supported by the National Natural Science Foundation,China(No.51975075),and the Chongqing Municipal Technology Innovation and Application Program,China(No.cstc2018jszx-cyzdX0146).
ZHANG You, LI Congbo, LIN Lihong, QIAN Jing, YI Qian. Centrifugal blower fault trend prediction method based on Informer with incomplete data[J]. Computer Integrated Manufacturing System, 2023, 29(1): 133-145.