Zitong Zhou
Orcid: 0000-0003-4885-0736
According to our database1,
Zitong Zhou
authored at least 29 papers
between 2016 and 2023.
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Bibliography
2023
Globally Localized Multisource Domain Adaptation for Cross-Domain Fault Diagnosis With Category Shift.
IEEE Trans. Neural Networks Learn. Syst., June, 2023
Magnetic coupling governed pinning directions in magnetic tunnel junctions under magnetic field annealing with zero magnetic field cooling.
Sci. China Inf. Sci., April, 2023
A Position-Free Signal Transformer via Multiband Inner Relationship Extraction for Understanding Information Flow of Machinery Diagnosis.
IEEE Trans. Instrum. Meas., 2023
A Sensor-Based Modified FMD Method to Identify Fault Feature for Mechanical Fault Diagnosis of Ship-Borne Antennae.
IEEE Access, 2023
AquaSense: Automated Sensitivity Analysis of Probabilistic Programs via Quantized Inference.
Proceedings of the Automated Technology for Verification and Analysis, 2023
2022
Toward Small Sample Challenge in Intelligent Fault Diagnosis: Attention-Weighted Multidepth Feature Fusion Net With Signals Augmentation.
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
CFs-focused intelligent diagnosis scheme via alternative kernels networks with soft squeeze-and-excitation attention for fast-precise fault detection under slow & sharp speed variations.
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
A Novel Bearing Fault Classification Method Based on XGBoost: The Fusion of Deep Learning-Based Features and Empirical Features.
IEEE Trans. Instrum. Meas., 2021
A Novel Multitask Adversarial Network via Redundant Lifting for Multicomponent Intelligent Fault Detection Under Sharp Speed Variation.
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
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
CoRR, 2021
2020
A Deep Learning Network via Shunt-Wound Restricted Boltzmann Machines Using Raw Data for Fault Detection.
IEEE Trans. Instrum. Meas., 2020
Markov Chain Monte Carlo with Neural Network Surrogates: Application to Contaminant Source Identification.
CoRR, 2020
Hybrid attribute conditional adversarial denoising autoencoder for zero-shot classification of mechanical intelligent fault diagnosis.
Appl. Soft Comput., 2020
Towards Intelligent Fault Diagnosis under Small Sample Condition via A Signals Augmented Semi-supervised Learning Framework.
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020
The Application of Machine Learning in Activity Recognition with Healthy Older People Using a Batteryless Wearable Sensor.
Proceedings of the ICAAI 2020: The 4th International Conference on Advances in Artificial Intelligence, 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
An Adversarial Learning Framework for Zero-shot Fault Recognition of Mechanical Systems.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
2018
LiftingNet: A Novel Deep Learning Network With Layerwise Feature Learning From Noisy Mechanical Data for Fault Classification.
IEEE Trans. Ind. Electron., 2018
2017
A High-Temperature MEMS Surface Fence for Wall-Shear-Stress Measurement in Scramjet Flow.
Sensors, 2017
2016
Multi-domain description method for bearing fault recognition in varying speed condition.
Proceedings of the IECON 2016, 2016