Entropy-Optimized Fault Diagnosis Based on Unsupervised Domain Adaptation
In practice, the cross-domain transfer of data distribution and the sample imbalance of fault status are inevitable, but one or both are often ignored, which restricts the adaptability and classification accuracy of the generated fault diagnosis (FD) model. Accordingly, an entropy-optimized method i...
Main Authors: | Fuqiang Liu, Yandan Chen, Wenlong Deng, Mingliang Zhou |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-04-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/11/9/2110 |
Similar Items
-
Normalization-Guided and Gradient-Weighted Unsupervised Domain Adaptation Network for Transfer Diagnosis of Rolling Bearing Faults Under Class Imbalance
by: Hao Luo, et al.
Published: (2025-01-01) -
Improved Conditional Domain Adversarial Networks for Intelligent Transfer Fault Diagnosis
by: Haihua Qin, et al.
Published: (2024-02-01) -
A Novel Domain Adaptation-Based Intelligent Fault Diagnosis Model to Handle Sample Class Imbalanced Problem
by: Zhongwei Zhang, et al.
Published: (2021-05-01) -
A Simple but Effective Way to Handle Rotating Machine Fault Diagnosis With Imbalanced-Class Data: Repetitive Learning Using an Advanced Domain Adaptation Model
by: Donghwi Yoo, et al.
Published: (2024-01-01) -
Unsupervised Domain Adaptive 1D-CNN for Fault Diagnosis of Bearing
by: Xiaorui Shao, et al.
Published: (2022-05-01)