The confusion matrix of the proposed model under different SNR conditions on the test dataset of MFPT. (a) 0 dB; (b) –2 dB; (c) –4 dB; (d) –6 dB; (e) –8 dB; (f) –10 dB.

The confusion matrix of the proposed model under different SNR conditions on the test dataset of MFPT. (a) 0 dB; (b) –2 dB; (c) –4 dB; (d) –6 dB; (e) –8 dB; (f) –10 dB.

<p>The confusion matrix of the proposed model under different SNR conditions on the test dataset of MFPT. (a) 0 dB; (b) –2 dB; (c) –4 dB; (d) –6 dB; (e) –8 dB; (f) –10 dB.</p>

Saved in:

Bibliographic Details
Main Author:	Weilin Cao (10122932) (author)
Other Authors:	Liqiang Zhang (2163640) (author)
Published:	2025
Subjects:	Biological Sciences not elsewhere classified wind power gearboxes still perform well scale rotating machinery reduce maintenance costs improve production efficiency domain attention mechanism core transmission components bearing fault signals bearing fault signal aware loss function different signal domains extreme noise environment fault diagnosis accuracies domain information fusion substantial noise interference model extracts high noise interference conduction model multiple domains frequency domains excessive noise stable operation paper proposes original characteristics new idea flexibly integrate experimental results effective monitoring dynamic inter dimensional features diagnostic results diagnostic reliability deep learning aviation engines 10 db &# 8211
Tags:	Add Tag No Tags, Be the first to tag this record!

Cannot write session to /tmp/vufind_sessions/sess_im28gda4sgpg6ah151rjfrac1i