Shuilong He
Orcid: 0000-0003-0139-0461
According to our database1,
Shuilong He
authored at least 35 papers
between 2017 and 2024.
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Bibliography
2024
An unsupervised spatiotemporal fusion network augmented with random mask and time-relative information modulation for anomaly detection of machines with multiple measuring points.
Expert Syst. Appl., March, 2024
2023
Image Vis. Comput., August, 2023
An asymmetrical graph Siamese network for one-classanomaly detection of engine equipment with multi-source fusion.
Reliab. Eng. Syst. Saf., July, 2023
Globally Localized Multisource Domain Adaptation for Cross-Domain Fault Diagnosis With Category Shift.
IEEE Trans. Neural Networks Learn. Syst., June, 2023
A Position-Free Signal Transformer via Multiband Inner Relationship Extraction for Understanding Information Flow of Machinery Diagnosis.
IEEE Trans. Instrum. Meas., 2023
Intelligent Fault Quantitative Identification via the Improved Deep Deterministic Policy Gradient (DDPG) Algorithm Accompanied With Imbalanced Sample.
IEEE Trans. Instrum. Meas., 2023
2022
Toward Small Sample Challenge in Intelligent Fault Diagnosis: Attention-Weighted Multidepth Feature Fusion Net With Signals Augmentation.
IEEE Trans. Instrum. Meas., 2022
A Dual-Guided Adaptive Decomposition Method of Fault Information and Fault Sensitivity for Multi-Component Fault Diagnosis Under Varying Speeds.
IEEE Trans. Instrum. Meas., 2022
Similarity Metric-Based Metalearning Network Combining Prior Metatraining Strategy for Intelligent Fault Detection Under Small Samples Prerequisite.
IEEE Trans. Instrum. Meas., 2022
Prior Knowledge-Augmented Self-Supervised Feature Learning for Few-Shot Intelligent Fault Diagnosis of Machines.
IEEE Trans. Ind. Electron., 2022
A multi-module generative adversarial network augmented with adaptive decoupling strategy for intelligent fault diagnosis of machines with small sample.
Knowl. Based Syst., 2022
Cross-domain intelligent bearing fault diagnosis under class imbalanced samples via transfer residual network augmented with explicit weight self-assignment strategy based on meta data.
Knowl. Based Syst., 2022
High-temperature augmented neighborhood metric learning for cross-domain fault diagnosis with imbalanced data.
Knowl. Based Syst., 2022
Temporal convolution-based sorting feature repeat-explore network combining with multi-band information for remaining useful life estimation of equipment.
Knowl. Based Syst., 2022
Intelligent Fault Quantitative Identification for Industrial Internet of Things (IIoT) via a Novel Deep Dual Reinforcement Learning Model Accompanied With Insufficient Samples.
IEEE Internet Things J., 2022
Prototype augmented network with metric-mixed under limited samples for mechanical intelligent fault recognition.
Appl. Soft Comput., 2022
2021
QSCGAN: An Un-Supervised Quick Self-Attention Convolutional GAN for LRE Bearing Fault Diagnosis Under Limited Label-Lacked Data.
IEEE Trans. Instrum. Meas., 2021
Layer Regeneration Network With Parameter Transfer and Knowledge Distillation for Intelligent Fault Diagnosis of Bearing Using Class Unbalanced Sample.
IEEE Trans. Instrum. Meas., 2021
Deep Feature Generating Network: A New Method for Intelligent Fault Detection of Mechanical Systems Under Class Imbalance.
IEEE Trans. Ind. Informatics, 2021
A Small Sample Focused Intelligent Fault Diagnosis Scheme of Machines via Multimodules Learning With Gradient Penalized Generative Adversarial Networks.
IEEE Trans. Ind. Electron., 2021
Sci. Program., 2021
Intelligent fault diagnosis under small sample size conditions via Bidirectional InfoMax GAN with unsupervised representation learning.
Knowl. Based Syst., 2021
Similarity-based meta-learning network with adversarial domain adaptation for cross-domain fault identification.
Knowl. Based Syst., 2021
Tensor Transfer Learning for Intelligence Fault Diagnosis of Bearing with Semisupervised Partial Label Learning.
J. Sensors, 2021
Research on Safety Evaluation of Commercial Vehicle Driving Behavior Based on Data Mining Technology.
J. Sensors, 2021
A classification method to detect faults in a rotating machinery based on kernelled support tensor machine and multilinear principal component analysis.
Appl. Intell., 2021
2020
Int. J. Comput. Sci. Math., 2020
Social Media Users Send Promotional Links to Strangers: Legitimate Promotion or Security Vulnerability?
IEEE Access, 2020
Ride Comfort Analysis and Multivariable Co-Optimization of the Commercial Vehicle Based on an Improved Nonlinear Model.
IEEE Access, 2020
2019
A Novel Deep Learning Network via Multiscale Inner Product With Locally Connected Feature Extraction for Intelligent Fault Detection.
IEEE Trans. Ind. Informatics, 2019
A Multi-Point Iterative Analysis Method for Vibration Control of a Steering Wheel at Idle Speed.
IEEE Access, 2019
IEEE Access, 2019
An Adversarial Learning Framework for Zero-shot Fault Recognition of Mechanical Systems.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
2018
Control of steering wheel idle jitter based on optimization of engine suspension system with verifications using multi-sensor measurement.
Int. J. Distributed Sens. Networks, 2018
2017
A novel intelligent method for bearing fault diagnosis based on affinity propagation clustering and adaptive feature selection.
Knowl. Based Syst., 2017