Juanjuan Shi

发表

Bearing fault diagnosis under variable rotational speed via the joint application of windowed fractal dimension transform and generalized demodulation: A method free from prefiltering and resampling

Juanjuan Shi, Ming Liang, Yunpeng Guan, 2016 .

The coupled vibration response analysis of gearbox with a bearing localized defect

Zhongkui Zhu, Weiguo Huang, Juanjuan Shi, 2022, 2022 Prognostics and Health Management Conference (PHM-2022 London).

Dynamic modelling of gearbox with multiple localized defects and its coupled vibration analysis

Changqing Shen, Zhongkui Zhu, Juanjuan Shi, 2022, Mechanical Systems and Signal Processing.

A Fast Signal Estimation Method Based on Probability Density Functions for Fault Feature Extraction of Rolling Bearings

Xingxing Jiang, Shijun Li, Zhongkui Zhu, 2019, Applied Sciences.

Continual learning fault diagnosis: a dual-branch adaptive aggregation residual network for fault diagnosis with machine increments

Changqing Shen, Zhongkui Zhu, Dong Wang, 2022, Chinese Journal of Aeronautics.

Dimensionality reduction method based on similarity balance discriminant projection for bearing fault diagnosis

Zhongkui Zhu, Weiguo Huang, Juanjuan Shi, 2022, Measurement Science and Technology.

Matching and reassignment based time-frequency enhancement for rotating machinery fault diagnosis under nonstationary speed operations

Zhongkui Zhu, Juanjuan Shi, Xingxing Jiang, 2021, Measurement Science and Technology.

Fault feature analysis and detection of progressive localized gear tooth pitting and spalling

M. Liang, N. Baddour, Juanjuan Shi, 2022, Measurement Science and Technology.

Lifelong Learning for Bearing Fault Diagnosis with Incremental Fault Types

Changqing Shen, Weiguo Huang, Juanjuan Shi, 2022, 2022 IEEE International Conference on Prognostics and Health Management (ICPHM).

Dual-Guidance-Based Optimal Resonant Frequency Band Selection and Multiple Ridge Path Identification for Bearing Fault Diagnosis Under Time-Varying Speeds

Weiguo Huang, Xingxing Jiang, Zhongkui Zhu, 2019, IEEE Access.

A coarse-to-fine decomposing strategy of VMD for extraction of weak repetitive transients in fault diagnosis of rotating machines

Changqing Shen, Zhongkui Zhu, Xingxing Jiang, 2019, Mechanical Systems and Signal Processing.

An Enhanced VMD with the Guidance of Envelope Negentropy Spectrum for Bearing Fault Diagnosis

Zhongkui Zhu, Juanjuan Shi, Haien Wang, 2020, Complex..

Non-dominated solution set based on time-frequency infograms for local damage detection of rotating machines.

Zhongkui Zhu, Xingxing Jiang, Juanjuan Shi, 2019, ISA transactions.

A Coarse TF Ridge-Guided Multi-Band Feature Extraction Method for Bearing Fault Diagnosis Under Varying Speed Conditions

Zhongkui Zhu, Ning Li, Wenjun Guo, 2019, IEEE Access.

Intelligent bearing fault signature extraction via iterative oscillatory behavior based signal decomposition (IOBSD)

Juanjuan Shi, Ming Liang, M. Liang, 2016, Expert Syst. Appl..

Bearing Condition Monitoring via Multiple Instantaneous Frequency Path Extraction from Enhanced Time Frequency Representation

Jun Wang, Zhongkui Zhu, Juanjuan Shi, 2019, 2019 Prognostics and System Health Management Conference (PHM-Qingdao).

Multi-source fidelity sparse representation via convex optimization for gearbox compound fault diagnosis

Xingxing Jiang, Zhongkui Zhu, Weiguo Huang, 2020 .

A new l0-norm embedded MED method for roller element bearing fault diagnosis at early stage of damage

Changqing Shen, Weiguo Huang, Zhongkui Zhu, 2018, Measurement.

Impulse Detection of Welded Joints of High-Speed Railway Turnout Based on Time-Frequency and Correlation Analyses

Changqing Shen, Zhongkui Zhu, Weiguo Huang, 2022, 2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD).

Refined matching linear chirplet transform for exhibiting time-frequency features of nonstationary vibration and acoustic signals

P. Dumond, Changqing Shen, Zhongkui Zhu, 2021, Measurement.

Iterative matching synchrosqueezing transform and application to rotating machinery fault diagnosis under nonstationary conditions

Juanjuan Shi, Yang Luo, Zhongkui Zhu, 2020 .

Matching time-frequency enhancement and its application to bearing fault diagnosis under time-varying speed conditions

Xingxing Jiang, Zhongkui Zhu, Juanjuan Shi, 2020, 2020 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM).

Matching Linear Chirplet Strategy-Based Synchroextracting Transform and Its Application to Rotating Machinery Fault Diagnosis

Zhongkui Zhu, Juanjuan Shi, Zehui Hua, 2020, IEEE Access.

Time Frequency Representation Enhancement via Frequency Matching Linear Transform for Bearing Condition Monitoring under Variable Speeds

Guifu Du, Zhongkui Zhu, Juanjuan Shi, 2019, Applied Sciences.

Generalized stepwise demodulation transform and synchrosqueezing for time–frequency analysis and bearing fault diagnosis

Juanjuan Shi, Ming Liang, Yunpeng Guan, 2016 .

Initial center frequency-guided VMD for fault diagnosis of rotating machines

Changqing Shen, Zhongkui Zhu, Xingxing Jiang, 2018, Journal of Sound and Vibration.

A fractal-dimension-based envelope demodulation for rolling element bearing fault feature extraction from vibration signals

Ming Liang, Juanjuan Shi, M. Liang, 2016 .

Morphology-based Fault Feature Extraction and Resampling-free Fault Identification Techniques for Rolling Element Bearing Condition Monitoring

Juanjuan Shi, Juanjuan Shi, 2015 .

Generalized Variable-Step Multiscale Lempel-Ziv Complexity: A Feature Extraction Tool for Bearing Fault Diagnosis

Changqing Shen, Zhongkui Zhu, Weiguo Huang, 2022, IEEE Sensors Journal.

Long-Tailed Traffic Sign Detection Using Attentive Fusion and Hierarchical Group Softmax

Weiguo Huang, Juanjuan Shi, Yanyun Tao, 2022, IEEE Transactions on Intelligent Transportation Systems.

A Lifelong Learning Method Based on Generative Feature Replay for Bearing Diagnosis With Incremental Fault Types

Changqing Shen, Dong Wang, Juanjuan Shi, 2023, IEEE Transactions on Instrumentation and Measurement.

A new meta-transfer learning method with freezing operation for few-shot bearing fault diagnosis

Changqing Shen, Juanjuan Shi, Fusheng Zhang, 2023, Measurement Science and Technology.

A New Probability Guided Domain Adversarial Network for Bearing Fault Diagnosis

Changqing Shen, Dong Wang, Juanjuan Shi, 2023, IEEE Sensors Journal.

Improved Hierarchical Adaptive Deep Belief Network for Bearing Fault Diagnosis

Dong Wang, Zhongkui Zhu, Juanjuan Shi, 2019, Applied Sciences.

Bearing fault diagnosis via generalized logarithm sparse regularization

Changqing Shen, Zhongkui Zhu, Juanjuan Shi, 2022, Mechanical Systems and Signal Processing.

Multi-stage distribution correction: A promising data augmentation method for few-shot fault diagnosis

Juanjuan Shi, Yi Liao, Rui Wang, 2023, Engineering Applications of Artificial Intelligence.

Multi-source alignment domain adaptation with similarity measurement for cross-domain bearing fault diagnosis

Changqing Shen, Juanjuan Shi, Shubei Wang, 2023, Measurement Science and Technology.

A New Multisource Domain Bearing Fault Diagnosis Method With Adaptive Dual-Domain Obfuscation Weighting Strategy

Changqing Shen, Zhongkui Zhu, Dong Wang, 2023, IEEE Transactions on Instrumentation and Measurement.

A Lightweight and Robust Model for Engineering Cross-Domain Fault Diagnosis Via Feature Fusion-Based Unsupervised Adversarial Learning

Changqing Shen, Zhongkui Zhu, Juanjuan Shi, 2022, Social Science Research Network.

An adaptive and efficient variational mode decomposition and its application for bearing fault diagnosis

Xingxing Jiang, Changqing Shen, Zhongkui Zhu, 2020, Structural Health Monitoring.

Fault severity assessment for rotating machinery via improved Lempel–Ziv complexity based on variable-step multiscale analysis and equiprobable space partitioning

Changqing Shen, Zhongkui Zhu, Juanjuan Shi, 2022, Measurement Science and Technology.

Modeling Method of the Grey GM(1, 1) Model with Interval Grey Action Quantity and Its Application

Bo Zeng, Xin Ma, Juanjuan Shi, 2020, Complex..

Stacked Sparse Autoencoder-Based Deep Network for Fault Diagnosis of Rotating Machinery

Changqing Shen, Zhongkui Zhu, Xingxing Jiang, 2017, IEEE Access.

Nonconvex regularized sparse representation in a tight frame for gear fault diagnosis

Zhongkui Zhu, Juanjuan Shi, Shuyou Wu, 2022, Measurement Science and Technology.

Synchronous chirp mode extraction: A promising tool for fault diagnosis of rolling element bearings under varying speed conditions

Changqing Shen, Zhongkui Zhu, Jie Liu, 2020 .

A hybrid technique based on convolutional neural network and support vector regression for intelligent diagnosis of rotating machinery

Changqing Shen, Zhongkui Zhu, Wei You, 2017 .

Adaptive Morphological Feature Extraction and Support Vector Regressive Classification for Gearbox Fault Diagnosis

Weiguo Huang, Juanjuan Shi, Zhongkui Zhu, 2019, 2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM).

A self-adaptive deep belief network with Nesterov momentum for the fault diagnosis of rolling element bearings

Changqing Shen, Zhongkui Zhu, Wei You, 2017, ICDLT '17.

A New Deep Fusion Network for Automatic Mechanical Fault Feature Learning

Xingxing Jiang, Juanjuan Shi, Jun Zhu, 2019, IEEE Access.

Machinery Health Monitoring Based on Unsupervised Feature Learning via Generative Adversarial Networks

Weiguo Huang, Jun Wang, Zhongkui Zhu, 2020, IEEE/ASME Transactions on Mechatronics.

Transient extraction based on minimax concave regularized sparse representation for gear fault diagnosis

Cheng Zhang, Juanjuan Shi, Zhongkui Zhu, 2020 .

Sparse Representation of the Transients in Mechanical Signals

Wei Fan, Zhongkui Zhu, Juanjuan Shi, 2017 .

Domain fuzzy generalization networks for semi-supervised intelligent fault diagnosis under unseen working conditions

Zhongkui Zhu, Juanjuan Shi, Jun Wang, 2023, Mechanical Systems and Signal Processing.

Synchronous fault feature extraction for rolling bearings in a generalized demodulation framework

Changqing Shen, Zhongkui Zhu, Juanjuan Shi, 2023, Measurement science and technology.

Fault Feature Enhancement and Extraction using Generalized Demodulation Guided by Ridge Scale Factor Probability Distribution

Changqing Shen, Zhongkui Zhu, Juanjuan Shi, 2022, 2022 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control ( SDPC).

Instantaneous Frequency Synchronized Generalized Stepwise Demodulation Transform for Bearing Fault Diagnosis

P. Dumond, Changqing Shen, Zhongkui Zhu, 2022, IEEE Transactions on Instrumentation and Measurement.

Double-Scale Convolutional Autoencoder and Extreme Learning Machine for Parameter Identification of DC Bus Capacitor in Power Electronic Transformer

Cheng Wang, Zhongkui Zhu, Juanjuan Shi, 2023, IEEE Transactions on Industrial Informatics.

Nonconvex Group Sparsity Signal Decomposition via Convex Optimization for Bearing Fault Diagnosis

Jun Wang, Xingxing Jiang, Juanjuan Shi, 2020, IEEE Transactions on Instrumentation and Measurement.

Dynamic modeling and force-vibration mapping mechanism construction of rolling bearings considering cage flexibility and local faults

Changqing Shen, Zhongkui Zhu, Juanjuan Shi, 2024, Measurement Science and Technology.

Sparse Low-Rank Matrix Estimation With Nonconvex Enhancement for Fault Diagnosis of Rolling Bearings

Juanjuan Shi, Xingxing Jiang, Chuancang Ding, 2023, IEEE Transactions on Instrumentation and Measurement.

Deep adaptive sparse residual networks: A lifelong learning framework for rotating machinery fault diagnosis with domain increments

Changqing Shen, Zhongkui Zhu, Juanjuan Shi, 2024, Knowl. Based Syst..