HIGHLIGHTS
- who: Shu Wang and collaborators from the College of Information Science and Engineering, Northeastern University, Shenyang, China have published the research: Fault Monitoring Based on the VLSW-MADF Test and DLPPCA for Multimodal Processes, in the Journal: Sensors 2023, 987 of /2023/
- what: The main contributions of this paper are as follows: first, an offline mode identification method based on the variable-length sliding window-mean augmented Dickey-Fuller (VLSW-MADF) test is proposed. Compared with other multimodal classification methods, the proposed method in this paper is more intuitive, and the starting position of transition . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.