| [1] |
XING Haibo, LI Jie.
Research on weakly labeled rolling bearing fault diagnosis based on time-frequency self-supervised learning
[J]. Modern Manufacturing Engineering, 2025, 532(1): 148-155.
|
| [2] |
GUO Kang, WANG Zhigang, XU Zengbing.
Fault diagnosis of small sample bearings based on the AFF-Stablenet model
[J]. Modern Manufacturing Engineering, 2024, 528(9): 144-151.
|
| [3] |
REN Jiongli, SU Bing, LIU Fengbo, ZHANG Guangtao, LIU Peng, ZHANG Wenhu.
Experimental study on friction characteristics of cryogenic rolling bearing materials
[J]. Modern Manufacturing Engineering, 2024, 522(3): 156-160.
|
| [4] |
JI Jingsheng, ZHOU Li, MA Xiangyang.
VMD combined with wavelet packet information entropy and GJO-SVM for motor bearing fault diagnosis
[J]. Modern Manufacturing Engineering, 2024, 521(2): 128-136.
|
| [5] |
.
[J]. Modern Manufacturing Engineering, 2023, 515(8): 148-154.
|
| [6] |
.
[J]. Modern Manufacturing Engineering, 2023, 513(6): 71-77.
|
| [7] |
.
[J]. Modern Manufacturing Engineering, 2023, 512(5): 127-134.
|
| [8] |
.
[J]. Modern Manufacturing Engineering, 2023, 512(5): 135-142.
|
| [9] |
.
[J]. Modern Manufacturing Engineering, 2023, 511(4): 130-135.
|
| [10] |
.
[J]. Modern Manufacturing Engineering, 2022, 507(12): 117-124.
|
| [11] |
.
[J]. Modern Manufacturing Engineering, 2022, 506(11): 130-136.
|
| [12] |
.
[J]. Modern Manufacturing Engineering, 2022, 506(11): 137-143.
|
| [13] |
.
[J]. Modern Manufacturing Engineering, 2022, 498(3): 122-126.
|
| [14] |
.
[J]. Modern Manufacturing Engineering, 2022, 496(1): 143-147.
|
| [15] |
.
[J]. Modern Manufacturing Engineering, 2022, 496(1): 148-153.
|
