L. Song

G. Bin, Huaqing Wang, Tianjiao Lin, 2022, 2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD).

Automatic Patrol and Inspection Method for Machinery Diagnosis Robot—Sound Signal-Based Fuzzy Search Approach

Peng Chen, Huaqing Wang, Liuyang Song, 2020, IEEE Sensors Journal.

A Recursive Sparse Representation Strategy for Bearing Fault Diagnosis

Huaqing Wang, Pengxin Wang, C. Han, 2021, Measurement.

A Sparsity-Promoted Decomposition for Compressed Fault Diagnosis of Roller Bearings

Huaqing Wang, Peng Chen, Gang Tang, 2016, Sensors.

An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network

Lingli Cui, Huaqing Wang, Liuyang Song, 2020, IEEE Transactions on Instrumentation and Measurement.

Multitask Learning-Based Self-Attention Encoding Atrous Convolutional Neural Network for Remaining Useful Life Prediction

Huaqing Wang, Tianjiao Lin, Lingli Cui, 2022, IEEE Transactions on Instrumentation and Measurement.

A novel convolutional neural network based fault recognition method via image fusion of multi-vibration-signals

Shi Li, Huaqing Wang, Lingli Cui, 2019, Comput. Ind..

Cross-Domain Open Set Fault Diagnosis Based on Weighted Domain Adaptation with Double Classifiers

Huaqing Wang, Xingwei Tong, L. Song, 2023, Sensors.

Step-by-Step Fuzzy Diagnosis Method for Equipment Based on Symptom Extraction and Trivalent Logic Fuzzy Diagnosis Theory

Peng Chen, Huaqing Wang, Liuyang Song, 2018, IEEE Transactions on Fuzzy Systems.

An adaptive data fusion strategy for fault diagnosis based on the convolutional neural network

Lingli Cui, Huaqing Wang, Liuyang Song, 2020 .

A Novel Feature Enhancement Method Based on Improved Constraint Model of Online Dictionary Learning

Huaqing Wang, Lingli Cui, Bangyue Ren, 2019, IEEE Access.

A Novel Signal Separation Method Based on Improved Sparse Non-Negative Matrix Factorization

Huaqing Wang, Junlin Li, Yansong Hao, 2019, Entropy.

Grouping sparse filtering: a novel down-sampling approach toward rotating machine intelligent diagnosis in 1D-convolutional neural networks

Huaqing Wang, Xudong Guo, Pengxin Wang, 2022, Measurement Science and Technology.

Intelligent diagnosis method for machinery by sequential auto-reorganization of histogram.

Peng Chen, Huaqing Wang, Liuyang Song, 2019, ISA transactions.

An open set compound fault diagnosis method for gearboxes based on weighted domain adaptation

Huaqing Wang, Xingwei Tong, L. Song, 2022, 2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD).

Machinery Fault Diagnosis Methods Based on Deep Learning

Liuyang Song, Ho Jinyama, Haihong Tang, 2021 .

Diagnosis of Compound Fault Using Sparsity Promoted-Based Sparse Component Analysis

Huaqing Wang, Peng Chen, Yansong Hao, 2017, Sensors.

Fault feature enhancement for roller bearing using a sparsity-promoted method

Huaqing Wang, Bangyue Ren, Liuyang Song, 2017, 2017 Prognostics and System Health Management Conference (PHM-Harbin).

A Novel Weighted Sparse Representation Classification Strategy Based on Dictionary Learning for Rotating Machinery

Lingli Cui, Bangyue Ren, Liuyang Song, 2020, IEEE Transactions on Instrumentation and Measurement.

Automatic Fault Detection and Isolation Method for Roller Bearing Using Hybrid-GA and Sequential Fuzzy Inference †

Liuyang Song, Yusuke Kobayashi, Peng Chen, 2019, Sensors.

Underdetermined Source Separation of Bearing Faults Based on Optimized Intrinsic Characteristic-Scale Decomposition and Local Non-Negative Matrix Factorization

Huaqing Wang, Lingli Cui, Yansong Hao, 2019, IEEE Access.

A Sparsity-Promoted Method Based on Majorization-Minimization for Weak Fault Feature Enhancement

Huaqing Wang, Gang Tang, Hongfang Yuan, 2018, Sensors.

Intelligent Condition Diagnosis Method for Rotating Machinery Based on Probability Density and Discriminant Analyses

Huaqing Wang, Peng Chen, Liuyang Song, 2016, IEEE Signal Processing Letters.

Remaining Useful Life Prediction Method Based on the Spatiotemporal Graph and GCN Nested Parallel Route Model

Tianjiao Lin, L. Song, Ye Jin, 2024, IEEE Transactions on Instrumentation and Measurement.

A bearing fault diagnosis method with an improved residual Unet diffusion model under extreme data imbalance

Changkun Han, L. Song, Huaqing Wang, 2024, Measurement Science and Technology.

ConvNeXt-CNN Based Intelligent Fault Diagnosis Method for Rotating Equipment

Huaqing Wang, Tianjiao Lin, L. Song, 2022, 2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD).