智慧电网数字协同技术实验室
智慧电网数字协同技术安徽省联合共建学科重点实验室，由合肥大多数信息科技有限公司牵头与安徽大学联合共建。
智慧电网
数字协同技术实验室
智慧电网数字协同技术安徽省联合共建学科重点实验室，由合肥大多数信息科技有限公司牵头与安徽大学联合共建。
实验室近三年重要论文
|
序号 |
论文名称 |
作者姓名（固定人员）及排序 |
发表年份 |
|
1 |
Attention-augmented recalibrated and compensatory network for machine remaining useful life prediction |
刘永斌，序6 |
2023 |
|
2 |
Degradation Indicator Construction Using Dual-Class Component Feature Fusion Recalibration for Bearing Performance Evaluation |
汪航，序2 |
2023 |
|
3 |
Spatial-temporal attention and information reinforcement network for machine remaining useful life prediction |
汪航，序3 |
2023 |
|
4 |
Fault Signal Simulation and Service Condition Monitoring of Cracked Gear System |
刘永斌，序4 |
2023 |
|
5 |
Fault diagnosis of rotating machinery based on the improved multidimensional normalization ResNet |
贺长波，序1 |
2023 |
|
6 |
Remaining useful life prediction based on multiscale features extraction and ensemble LSTM network |
汪航，序2 |
2023 |
|
7 |
Feature extraction approach for bearing fault diagnosis based on multiscale improved envelope spectrum entropy |
汪航，序2 |
2023 |
|
8 |
A novel hard attention-based network for machine remaining useful life prediction |
刘永斌，序3 |
2023 |
|
9 |
Effect of Different Winding Connection Schemes and Charging Positions on the Oscillating wave method |
吴振宇，序1 |
2023 |
|
10 |
Feature Analysis of Oscillating Wave Signatures Polar Plots for Transformers |
吴振宇，序1 |
2023 |
|
11 |
Research on the Influence of Inductively Coupled Wiring Methods on Oscillating Waves |
吴振宇，序1 |
2023 |
|
12 |
深度神经网络的电力数据异常检测研究 |
杨奚诚，序5 |
2023 |
|
13 |
长短期记忆循环神经网络在自动语音识别中的应用 |
杨奚诚，序5 |
2023 |
|
14 |
基于零序电压特性的无刷直流电机匝间短路在线检测 |
吴振宇，序1 |
2024 |
|
15 |
基于多路漏磁信号阵列的无刷直流电机匝间短路故障诊断研究 |
吴振宇，序1 |
2024 |
|
16 |
Diagnosis of Interturn Short Circuit Fault in BLDCM Based on Coupled High Frequency Signal Injection |
汪航，序1 |
2024 |
|
17 |
Feature Extraction Using Refined Composite Hierarchical Fuzzy Dispersion Entropy and Its Applications to Bearing Fault Diagnosis |
周远远，序1 |
2024 |
|
18 |
Intelligent Fault Diagnosis of Bearing Using Multiwavelet Perception Kernel Convolutional Neural Network |
周远远，序1 |
2024 |
|
19 |
In Situ Inversion of Lithium-Ion Battery Pack Unbalanced Current for Inconsistency Detection Using Magnetic Field Imaging |
汪航，序1 |
2024 |
|
20 |
A Baseline Similarity Attention Based Dual Channel Feature Fusion Network for Machine Remaining Useful Life Prediction |
汪航，序3 |
2024 |
|
21 |
A multi-scenario prototype contrast federal transfer learning diagnosis method for rolling bearing |
周远远，序2 |
2024 |
|
22 |
Analysis of Vibration Characteristics of Gear System with Spatial Cracks |
汪航，序4 |
2024 |
|
23 |
Remining Useful Life Prediction Using Graph Neural Networks for Rolling Bearing |
周远远，序2 |
2024 |
|
24 |
Surface wear prediction and dynamic characteristicsof gear pair considering friction and wear |
刘永斌，序6 |
2024 |
|
25 |
A comparison of charging voltage image coding methods for lithium-ion battery state of health estimation |
汪航，序1 |
2024 |
|
26 |
Feature Information Fusion Enhanced Representation Network for Rotating Machinery Remaining Useful Life Prediction |
周远远，序1 |
2025 |
|
27 |
An Interpretable Intelligent Bearing Fault |
刘永斌，序5 |
2025 |
|
28 |
Interaction between gear wear and dynamic behavior considering interface characteristics |
刘永斌，序3 |
2025 |
|
29 |
Dynamic characteristics of pitted gearwith variation of tooth surfacetopography |
刘永斌，序4 |
2025 |
|
30 |
Detection of Structure Deformation and Insulation Condition for Transformer Windings Based on High-voltage Oscillating Wave |
吴振宇，序1 |
2025 |
|
31 |
Diagnosing Power Transformer Winding Faults Using a Feature Fusion Method for Multidimensional Oscillating Wave Signals |
吴振宇，序1 |
2025 |
|
32 |
Improved Measurement Method for Locating Winding Faults in On-board Transformers in High-Speed Trains |
吴振宇，序1 |
2025 |
|
33 |
计及铁心梯级结构的三相变压器频变参数自适应优化建模方法研究 |
吴振宇，序1 |
2025 |
|
34 |
基于电磁多维时空特性的永磁同步电机高阻故障智能诊断研究 |
吴振宇，序1 |
2025 |
|
35 |
基于电磁场特征蒸馏的无刷直流电机匝间短路智能辨识 |
吴振宇，序1 |
2025 |
|
36 |
A closed-form continuous-depth neural-based hybrid difference features re-representation network for RUL prediction |
汪航，序3 |
2025 |
|
37 |
Remaining useful life prediction for machinery using multimodal interactive attention spatial–temporal networks with deep ensembles |
汪航，序2 |
2025年 |
|
38 |
Hidden Markov Model-Based Weighted Graph Representation for Bearing Fault Diagnosis with |
汪航，序2 |
2025年 |