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Xianze Li

North China Electric Power University

H指数:5

被引数:135

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Vibration and acoustic signal consistent feature fusion network for intelligent bearing fault diagnosis

振动与声学信号一致性特征融合网络用于智能轴承故障诊断

ENGINEERING RESEARCH EXPRESS

IF1.6

2025-09-301

PRE

A multi-scale gated spatial attention network for rotor fault diagnosis under various conditions and equipment

一种多尺度门控空间注意力网络，用于各种条件和设备下的转子故障诊断

Nondestructive Testing and Evaluation

IF4.2

2025-07-230

PRE

Memory-augmented prototypical meta-learning method for bearing fault identification under few-sample conditions

基于内存增强的原型元学习方法用于少样本条件下的轴承故障识别

IF6.5

2025-06-010

PRE

A frequency channel-attention based vision Transformer method for bearing fault identification across different working conditions

EXPERT SYSTEMS WITH APPLICATIONS

IF7.5

2025-03-011

PRE

A meta-learning method based on meta-feature enhancement for bearing fault identification under few-sample conditions

一种基于元特征增强的元学习方法，用于少样本条件下的轴承故障识别

MECHANICAL SYSTEMS AND SIGNAL PROCESSING

IF8.9

2025-03-010

PRE

A Novel Transfer Learning Framework Based on Deep Contrastive Convolution for Wind Turbine Bearing Fault Localization

IEEE Transactions on Reliability

IF5.7

2025-01-010

PRE

Transformer-based meta learning method for bearing fault identification under multiple small sample conditions

MECHANICAL SYSTEMS AND SIGNAL PROCESSING

IF8.9

2024-02-0114

PRE