Name
Title | ||
|---|---|---|
Probabilistic Transfer Factor Analysis for Machinery Autonomous Diagnosis Cross Various Operating Conditions |
Abstract | ||
|---|---|---|
The variability of machinery fault signatures causes the data samples to follow different distributions under various operating conditions, which poses significant challenges on autonomous diagnosis based on machine learning techniques. This article presents a new transfer learning method for cross-domain feature learning by mitigating the domain difference caused by various operating conditions f... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TIM.2019.2963731 | IEEE Transactions on Instrumentation and Measurement |
Keywords | DocType | Volume |
Testing,Training,Data models,Probabilistic logic,Machinery,Learning systems,Fault diagnosis | Journal | 69 |
Issue | ISSN | Citations |
8 | 0018-9456 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| jinjiang wang | 1 | 89 | 7.64 |
| Rui Zhao | 2 | 0 | 0.34 |
| Robert X. Gao | 3 | 387 | 39.94 |