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Shijiazhuang Tiedao University

H指数:0

被引数:799

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ENAS–SCMNet: A novel efficient neural architecture search–driven blind deconvolution network based on statistical complexity measure for railway bearing fault diagnosis

ENAS–SCMNet：一种基于统计复杂度测量的新型高效神经架构搜索驱动的盲去卷积网络，用于铁路轴承故障诊断

Engineering Failure Analysis

IF5.7

2025-11-250

PRE

Acoustic bearing fault diagnosis based on LCMV beamformer and MGIgram via an MEMS microphone array

基于LCMV波束形成器和MGIgram的声学轴承故障诊断方法，通过MEMS麦克风阵列实现

TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL

IF1.9

2025-09-010

PRE

Adaptive maximum statistical complexity deconvolution and its application for train axle box bearing fault diagnosis

自适应最大统计复杂度反卷积及其在列车轴箱轴承故障诊断中的应用

MECHANICAL SYSTEMS AND SIGNAL PROCESSING

IF8.9

2025-05-011

PRE

You can be more trustworthy: A feature fusion reinforcement network for credible anti-noise fault diagnosis

ADVANCED ENGINEERING INFORMATICS

IF9.9

2025-03-010

PRE

Unsupervised Feature-Preserving CycleGAN for Fault Diagnosis of Rolling Bearings Using Unbalanced Infrared Thermal Imaging Sample

IF3.6

2024-01-013

OA

Fatigue life prediction of high-speed train bearings based on the generalized linear cumulative damage theory

FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES

IF3.2

2023-03-0710

PRE

A Novel Data Augmentation and Composite Multiscale Network for Mechanical Fault Diagnosis

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

IF5.9

2023-01-018

PRE

A Balanced Deep Transfer Network for Bearing Fault Diagnosis

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

IF5.9

2023-01-0111

PRE

Adaptive correlated Kurtogram and its applications in wheelset-bearing system fault diagnosis

MECHANICAL SYSTEMS AND SIGNAL PROCESSING

IF8.9

2021-06-0153

PREAI

Multi-objective Informative Frequency Band Selection Based on Negentropy-induced Grey-Wolf Optimizer for Fault Diagnosis of Rolling Element Bearings

IF3.5

2020-03-2617

OAAI