A Hybrid Model with a Weighted Voting Scheme for Feature Selection in Machinery Condition Monitoring. - Kui Zhang; Andrew D. Ball; Fengshou Gu; Yuhua Li 001 (CASE, 2007)

Integration of multiple platforms for real-time remote model-based condition monitoring. - John Z. Shi; Fengshou Gu; Peter Goulding; Andrew D. Ball (Comput. Ind., 2007)

Information Management System for Machine Diagnostics - IMSMD on the road map. - Joan Lu; Fengshou Gu; Andrew D. Ball (International Conference on Internet Computing, 2009)

An Investigation in Computer Aided Evaluator for Antilock Breaking System - ABS. - Joan Lu; Carl Pain; Andrew D. Ball; John Z. Shi; Fengshou Gu (International Conference on Internet Computing, 2009)

Time Encoded Signal Processing and Recognition of incipient bearing faults. - S. Abdusslam; M. Ahmed; P. Raharjo; Fengshou Gu; Andrew D. Ball (ICAC, 2011)

Fault classification of reciprocating compressor based on Neural Networks and Support Vector Machines. - M. Ahmed; S. Abdusslam; Mabrouka Baqqar; Fengshou Gu; Andrew D. Ball (ICAC, 2011)

A novel approach to modelling and simulation of the dynamic behaviour of the wheel-rail interface. - Arthur Anyakwo; Crinela Pislaru; Andrew D. Ball; Fengshou Gu (ICAC, 2011)

Data mining for gearbox condition monitoring. - Mabrouka Baqqar; Mahmud Ahmed; Fengshou Gu (ICAC, 2011)

A Novel Transform Demodulation Algorithm for Motor Incipient Fault Detection. - Niao-Qing Hu; Lu-Rui Xia; Fengshou Gu; Guo-Jun Qin (IEEE Trans. Instrum. Meas., 2011)

Inter-turn short circuit detection based on modulation signal bispectrum analysis of motor current signals. - A. Alwodai; Y. Shao; X. Yuan; M. Ahmed; Fengshou Gu; Andrew D. Ball (ICAC, 2013)

The real-time implementation of envelope analysis for bearing fault diagnosis based on wireless sensor network. - Guojin Feng; Aliwan Mustafa; James Xi Gu; Dong Zhen 001; Fengshou Gu; Andrew D. Ball (ICAC, 2013)

The influence of vehicle tyres pressure on the suspension system response by applying the time-frequency approach. - M. Hamed; B. Tesfa; M. Aliwan; Guangwen Li; Fengshou Gu; Andrew D. Ball (ICAC, 2013)

An investigation on energy recovery analysis of active suspension system. - R. Wang; V. T. Tran; Fengshou Gu; Andrew D. Ball (ICAC, 2013)

Fault diagnosis of reciprocating compressors using revelance vector machines with a genetic algorithm based on vibration data. - M. Ahmed; Ann Smith; Fengshou Gu; Andrew D. Ball (ICAC, 2014)

A study of the suspension system for the diagnosis of dynamic characteristics. - M. Hamed; B. Tesfa; Fengshou Gu; Andrew D. Ball (ICAC, 2014)

Modelling and validation of a regenerative shock absorber system. - Ruichen Wang; Zhi Chen; Haijun Xu; Karsten Schmidt 005; Fengshou Gu; Andrew D. Ball (ICAC, 2014)

The Recovery of Weak Impulsive Signals Based on Stochastic Resonance and Moving Least Squares Fitting. - Kuosheng Jiang; Guanghua Xu; Lin Liang; Tangfei Tao; Fengshou Gu (Sensors, 2014)

Analysis of frictional effects on the dynamic response of gear systems and the implications for diagnostics. - Khaldoon F. Brethee; Jingwei Gao; Fengshou Gu; Andrew D. Ball (ICAC, 2015)

Investigation of motor current signature analysis to detect motor resistance imbalances. - Mark Lane; D. Ashari; Fengshou Gu; Andrew D. Ball (ICAC, 2015)

A study of diagnostic signatures of a deep groove ball bearing based on a nonlinear dynamic model. - Ibrahim Rehab; Xiange Tian; Fengshou Gu; Andrew D. Ball (ICAC, 2015)

Detection and diagnosis of motor stator faults using electric signals from variable speed drives. - Abdulkarim Shaeboub; Samieh Abusaad; Niaoqing Hu; Fengshou Gu; Andrew D. Ball (ICAC, 2015)

Diagnosis of combination faults in a planetary gearbox using a modulation signal bispectrum based sideband estimator. - Xiange Tian; Gaballa M. Abdallaa; Ibrahim Rehab; Fengshou Gu; Andrew D. Ball; Tie Wang (ICAC, 2015)

Characterisation of acoustic emissions for the frictional effect in engines using wavelets based multi-resolution analysis. - Nasha Wei; Fengshou Gu; Tie Wang; Guoxing Li; Yuandong Xu; Longjie Yang; Andrew D. Ball (ICAC, 2015)

Implementation of envelope analysis on a wireless condition monitoring system for bearing fault diagnosis. - Guojin Feng; James Xi Gu; Dong Zhen 001; Mustafa Aliwan; Fengshou Gu; Andrew D. Ball (Int. J. Autom. Comput., 2015)

An investigation of electrical motor parameters in a sensorless variable speed drive for machine fault diagnosis. - Naima Hamad; Khaldoon F. Brethee; Fengshou Gu; Andrew D. Ball (ICAC, 2016)

Investigation of reductions in motor efficiency caused by stator faults when operated from an inverter drive. - Mark Lane; Abdulkarim Shaeboub; Fengshou Gu; Andrew D. Ball (ICAC, 2016)

A validated finite element model for predicting dynamic responses of cylinder liners in an IC engine. - Guoxing Li; Fengshou Gu; Nasha Wei; Yuandong Xu; Andrew D. Ball; Tie Wang (ICAC, 2016)

Detection and diagnosis of compound faults in induction motors using electric signals from variable speed drives. - Abdulkarim Shaeboub; Mark Lane; Usama Haba; Fengshou Gu; Andrew D. Ball (ICAC, 2016)

Fault diagnosis of centrifugal pumps based on the intrinsic time-scale decomposition of motor current signals. - Samir Alabied; Osama Hamomd; Alsadak Daraz; Fengshou Gu; Andrew D. Ball (ICAC, 2017)

Monitoring gearbox using a wireless temperature node powered by thermal energy harvesting module. - Badradin Elforjani; Yuandong Xu; Khaldoon F. Brethee; Zhifei Wu; Fengshou Gu; Andrew D. Ball (ICAC, 2017)

Vibration based centrifugal pump fault diagnosis based on modulation signal bispectrum analysis. - Osama Hamomd; Samir Alabied; Yuandong Xu; Alsadak Daraz; Fengshou Gu; Andrew D. Ball (ICAC, 2017)

Expedient identification of the dynamics of ball-screw drives using online-validation. - Ashraf Hatwesh; Simon Fletcher; Andrew Longstaff; Wencheng Pan; Fengshou Gu (ICAC, 2017)

A dynamic deformation based lubrication model between the piston rings and cylinder liner. - Guoxing Li; Fengshou Gu; Tie Wang; Xingchen Lu; Ruiliang Zhang; Andrew D. Ball (ICAC, 2017)

The identification of shaft current induced defects on rolling bearings in wind turbine generators. - Long Li; Guangbin Wang; Wenhui Deng; Xiaoli Tang; Fengshou Gu; Andrew D. Ball (ICAC, 2017)

The validation of an ACS-SSI based online condition monitoring for railway vehicle suspension systems using a SIMPACK model. - Fulong Liu; Fengshou Gu; Andrew D. Ball; Yunshi Zhao; Bo Peng (ICAC, 2017)

Planetary gearbox fault diagnosis using an on-rotor MEMS accelerometer. - Zainab Mones; Qiang Zeng; L. Hu; Xiaoli Tang; Fengshou Gu; Andrew D. Ball (ICAC, 2017)

Wavelet packet analysis and empirical mode decomposition for the fault diagnosis of reciprocating compressors. - Ugonnaya E. Muo; Misan Madamedon; Andrew D. Ball; Fengshou Gu (ICAC, 2017)

Fault detection of rolling element bearings using the frequency shift and envelope based compressive sensing. - Xiaoli Tang; Yuandong Xu; Fengshou Gu; Andrew D. Ball; Guangbin Wang (ICAC, 2017)

Early detection of rolling bearing faults using an auto-correlated envelope ensemble average. - Yuandong Xu; Xiaoli Tang; Fengshou Gu; Andrew D. Ball; James Xi Gu (ICAC, 2017)

Planetary gear fault diagnosis based on instantaneous angular speed analysis. - Qiang Zeng; Zainab Mones; Yimin Shao; Fengshou Gu; Andrew D. Ball (ICAC, 2017)

Empirical Mode Decomposition of Motor Current Signatures for Centrifugal Pump Diagnostics. - Samir Alabied; Usama Haba; Alsadak Daraz; Fengshou Gu; Andrew D. Ball (ICAC, 2018)

Condition Monitoring and Fault Diagnosis Based on Multipoint Optimal Minimum Entropy Deconvolution Adjusted Technique. - Ibrahim Alqatawneh; Kuosheng Jiang; Zainab Mones; Qiang Zeng; Fengshou Gu; Andrew D. Ball (ICAC, 2018)

Performance Monitoring and Fault Diagnosis of Vacuum Pumps based on Airborne Sounds. - Robin Appadoo; Yuandong Xu; Fengshou Gu; Andrew D. Ball (ICAC, 2018)

Detection and Diagnosis of Centrifugal Pump Bearing Faults Based on the Envelope Analysis of Airborne Sound Signals. - Alsadak Daraz; Samir Alabied; Ann Smith; Fengshou Gu; Andrew D. Ball (ICAC, 2018)

Diagnosing Lubricant Shortages in Gearboxes Using Instantaneous Phases from Electrical Signals. - Naima Hamad; Xiuquan Sun; Ruiliang Zhang; Samieh Abusaad; Fengshou Gu; Andrew D. Ball (ICAC, 2018)

Vibration Analysis of Journal Bearings under Water Contaminated Lubrication. - Jiaojiao Ma; Hao Zhang 091; Zhanqun Shi; Vasileios Kontogiorgos; Fengshou Gu; Andrew D. Ball (ICAC, 2018)

Fault Diagnosis of Planetary Gearboxes via Processing the On-Rotor MEMS Accelerometer Signals. - Zainab Mones; Dong Zhen 001; Ibrahim Alqatawneh; Qiang Zeng; Fengshou Gu; Andrew D. Ball (ICAC, 2018)

Diagnosing the Change in the Internal Clearances of Rolling Element Bearings based on Vibration Signatures. - Khalid Rabeyee; Xiaoli Tang; Yuandong Xu; Dong Zhen 001; Fengshou Gu; Andrew D. Ball (ICAC, 2018)

A Review on Energy Harvesting Supplying Wireless Sensor Nodes for Machine Condition Monitoring. - Xiaoli Tang; Zainab Mones; Xianghong Wang; Fengshou Gu; Andrew D. Ball (ICAC, 2018)

Early Fault Diagnosis for Planetary Gearbox Based Wavelet Packet Energy and Modulation Signal Bispectrum Analysis. - Junchao Guo; Zhanqun Shi; Haiyang Li; Dong Zhen 001; Fengshou Gu; Andrew D. Ball (Sensors, 2018)

Energy Harvesting Technologies for Achieving Self-Powered Wireless Sensor Networks in Machine Condition Monitoring: A Review. - Xiaoli Tang; Xianghong Wang; Robert Cattley; Fengshou Gu; Andrew D. Ball (Sensors, 2018)

Motor Current Signal Analysis Based on Machine Learning for Centrifugal Pump Fault Diagnosis. - Samir Alabied; Alsadak Daraz; Khalid Rabeyee; Ibrahim Alqatawneh; Fengshou Gu; Andrew D. Ball (ICAC, 2019)

Fault Diagnosis of Broken Rotor Bar in AC Induction Motor based on A Qualitative Simulation Approach. - Aisha Alashter; Fengshou Gu; Andrew D. Ball; Yunpeng Cao (ICAC, 2019)

Modulation Signal Bispectrum Analysis of Acoustic Signals for the Impeller Wear Detection of Centrifugal Pumps. - Alsadak Daraz; Samir Alabied; Fengshou Gu; Andrew D. Ball (ICAC, 2019)

Broken Rotor Bar Detection Using Mathematical Morphology Based on Instantaneous Induction Motor Electrical Signals Analysis. - Haiyang Li; Dong Zhen 001; Funso Otuyemi; Fengshou Gu; Andrew D. Ball (ICAC, 2019)

Fault Diagnosis of Planetary Gear System Based on Nonlinear Time-varying Dynamic Model Analysis. - Yinghui Liu; Huibo Zhang; Dong Zhen 001; Hao Zhang 091; Zhanqun Shi; Fengshou Gu (ICAC, 2019)

Airborne Acoustic Signature Analysis for Fault Diagnosis of Reciprocating Compressors Using Modulation Signal Bi-spectrum. - Debanjan Mondal; Usama Haba; Fengshou Gu; Andrew D. Ball (ICAC, 2019)

Fault Diagnosis for Planetary Gearbox Using On-Rotor MEMS Sensor and EMD Analysis. - Zainab Mones; Ibrahim Alqatawneh; Dong Zhen 001; Fengshou Gu; Andrew D. Ball (ICAC, 2019)

A Novel Wavelet Thresholding Method for Vibration Data Denoising and Diagnostic Feature Enhancement in Condition Monitoring. - Khalid Rabeyee; Yuandong Xu; Fengshou Gu; Andrew D. Ball (ICAC, 2019)

An Approach to Reducing Input Parameter Volume for Fault Classifiers. - Ann Smith; Fengshou Gu; Andrew D. Ball (Int. J. Autom. Comput., 2019)

Fault Identification for a Closed-Loop Control System Based on an Improved Deep Neural Network. - Bowen Sun; Jiongqi Wang; Zhangming He; Haiyin Zhou; Fengshou Gu (Sensors, 2019)

A Novel Fault Detection Method for Rolling Bearings Based on Non-Stationary Vibration Signature Analysis. - Dong Zhen 001; Junchao Guo; Yuandong Xu; Hao Zhang 091; Fengshou Gu (Sensors, 2019)

Planetary Gear Fault Diagnosis Based on An Instantaneous Angular Speed Measurement System With a Dual Detector Setup. - Qiang Zeng; Guojin Feng; Yimin Shao; Fengshou Gu; Andrew D. Ball (IEEE Access, 2020)

Dynamics analysis of a hollow-shaft rotor system with an open crack under model uncertainties. - Chao Fu; Yuandong Xu; Yongfeng Yang; Kuan Lu; Fengshou Gu; Andrew D. Ball (Commun. Nonlinear Sci. Numer. Simul., 2020)

Locating Sensors in Large-Scale Engineering Systems for Fault Isolation Based on Fault Feature Reduction. - Jinxin Wang; Zhongwei Wang; Xiuzhen Ma; Ann Smith; Fengshou Gu; Chi Zhang; Andrew D. Ball (J. Frankl. Inst., 2020)

Object-Based Thermal Image Segmentation for Fault Diagnosis of Reciprocating Compressors. - Rongfeng Deng; Yubin Lin; Weijie Tang; Fengshou Gu; Andrew D. Ball (Sensors, 2020)

A Novel Method for the Dynamic Coefficients Identification of Journal Bearings Using Kalman Filter. - Yang Kang; Zhanqun Shi; Hao Zhang 091; Dong Zhen 001; Fengshou Gu (Sensors, 2020)

Fault Diagnosis of Planetary Gearbox Based on Adaptive Order Bispectrum Slice and Fault Characteristics Energy Ratio Analysis. - Zhaoyang Shen; Zhanqun Shi; Dong Zhen 001; Hao Zhang 091; Fengshou Gu (Sensors, 2020)

A Developed Convolutional Neural Network Architecture for Condition Monitoring. - Ibrahim Alqatawneh; Rongfeng Deng; Khalid Rabeyee; Zhang Chao; Fengshou Gu; Andrew D. Ball (ICAC, 2021)

Influence of Manufactory Asymmetrical Squirrel Rotor on Motor Current Responses. - Haiyang Li; Xiuquan Sun; Fengshou Gu; Andrew D. Ball (ICAC, 2021)

Online Tool Condition Monitoring of CNC Turnings based on Motor Current Signature Analysis. - Zhexiang Zou; Yubin Lin; Dongqin Lin; Fengshou Gu; Andrew D. Ball (ICAC, 2021)

A Normalized Frequency-Domain Energy Operator for Broken Rotor Bar Fault Diagnosis. - Haiyang Li; Guojin Feng; Dong Zhen 001; Fengshou Gu; Andrew David Ball (IEEE Trans. Instrum. Meas., 2021)

Exploitation of a Multiband Weighted Envelope Spectrum for Railway Axle Bearing Fault Diagnosis. - Bingyan Chen; Zewen Zhou; Weihua Zhang; Fengshou Gu; Adam Bevan; Philip Shackleton (ICAC, 2022)

Rapid State of Health Estimation of Lithium-ion Batteries based on An Active Acoustic Emission Sensing Method. - Zuolu Wang; Kaibo Lu; Xun Chen; Dong Zhen 001; Fengshou Gu; Andrew D. Ball (ICAC, 2022)

The estimation method of normalized Nonlinear Output Frequency Response Functions with only response signals under stochastic excitation. - Weili Tang; Hanling Mao; Fengshou Gu; Xinxin Li; Zhenfeng Huang; Andrew D. Ball (Commun. Nonlinear Sci. Numer. Simul., 2022)

Information Theory and Its Application in Machine Condition Monitoring. - Yongbo Li; Fengshou Gu; Xihui Liang (Entropy, 2022)

Fast Spectral Correlation Detector for Periodic Impulse Extraction of Rotating Machinery. - Junchao Guo; Dong Zhen 001; Fengshou Gu; Qingbo He (IEEE Trans. Instrum. Meas., 2022)

A Squeezed Modulation Signal Bispectrum Method for Motor Current Signals Based Gear Fault Diagnosis. - Yuandong Xu; Xiaoli Tang; Xiuquan Sun; Fengshou Gu; Andrew D. Ball (IEEE Trans. Instrum. Meas., 2022)

Experimental Investigation on the Vibration of the Thin-Walled Cylindrical Machining. - Kaibo Lu; Xun Chen; Fengshou Gu (ICAC, 2023)

A MLP-Based Transfer Learning Model Using EIS Health Features for State of Health Estimation of Lithium-Ion Battery. - Xiaoyu Zhao; Zuolu Wang; Shiyu Liu; Helen Miao; Eric Li 001; Fengshou Gu; Andrew D. Ball (ICAC, 2023)

A Hybrid Digital Twin Scheme for the Condition Monitoring of Industrial Collaborative Robots. - Samuel Ayankoso; Eric Kaigom; Hassna Louadah; Hamidreza Faham; Fengshou Gu; Andrew D. Ball (ISM, 2023)

Multi-sensor data fusion for rotating machinery fault detection using improved cyclic spectral covariance matrix and motor current signal analysis. - Junchao Guo; Qingbo He; Dong Zhen 001; Fengshou Gu; Andrew D. Ball (Reliab. Eng. Syst. Saf., 2023)

Fault Diagnosis of UAV Based on Adaptive Siamese Network With Limited Data. - Pengwei Xiong; Zhinong Li; Yunlong Li; Shanshan Huang; Chenyu Liu; Fengshou Gu (IEEE Trans. Instrum. Meas., 2023)

Attention-based deep meta-transfer learning for few-shot fine-grained fault diagnosis. - Chuanjiang Li; Shaobo Li 001; Huan Wang 015; Fengshou Gu; Andrew D. Ball (Knowl. Based Syst., 2023)

Intelligent Fault Detection for Rotating Machinery Using Cyclic Morphological Modulation Spectrum and Hierarchical Teager Permutation Entropy. - Junchao Guo; Qingbo He; Dong Zhen 001; Fengshou Gu (IEEE Trans. Ind. Informatics, 2023)

Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearing. - Yongchao Zhang 004; Jinchen Ji; Zhaohui Ren; Qing Ni; Fengshou Gu; Ke Feng; Kun Yu 003; Jian Ge 002; Zihao Lei; Zheng Liu 002 (Reliab. Eng. Syst. Saf., 2023)

IFD-MDCN: Multibranch denoising convolutional networks with improved flow direction strategy for intelligent fault diagnosis of rolling bearings under noisy conditions. - Sheng Li; Jinchen Ji; Yadong Xu; Xiuquan Sun; Ke Feng; Beibei Sun; Yulin Wang; Fengshou Gu; Ke Zhang; Qing Ni (Reliab. Eng. Syst. Saf., 2023)

Harnessing Deep Learning for Fault Detection in Industry 4.0: A Multimodal Approach. - Jialie Shen 001; Marie Morrison; Haiyan Miao; Fengshou Gu (CogMI, 2024)

Fault Diagnosis of a Marine Electric Propulsion System Based on Order Tracking Motor Current Signature Analysis. - Yulin Chen; Wenjun Zhu; Yaoze Liu; Zhexiang Zou; Fengshou Gu; Andrew D. Ball (ICAC, 2024)

Wind Turbine Blade Imbalance Monitoring Using PMSG Electrical Signals. - Dongqin Li; Zhexiang Zou; Yanling Cao; Yang Zeng; Fengshou Gu; Andrew D. Ball (ICAC, 2024)

Analysis of Instantaneous Angular Speed Accuracy Considering Encoder Errors. - Yuanhao Liu; Fengshou Gu; Qiang Zeng (ICAC, 2024)

Characterising the Orthogonal Outputs of an On- Rotor Sensing Vibration Node for Efficient Condition Monitoring of Electric Motors. - Dawei Shi; Yinghang He; Chun Li; Wei Wang; Fengshou Gu; Andrew D. Ball (ICAC, 2024)

Clearance Condition Monitoring of High-Speed Train Axlebox Bearings Using Novel On-Rotor Sensing Technology. - Zewen Zhou; Bingyan Chen; Guojin Feng; Dawei Shi; Xue Gong; Fengshou Gu (ICAC, 2024)

Intelligent diagnosis method for machine faults based on federated transfer learning. - Zhinong Li; Zedong Li; Fengshou Gu (Appl. Soft Comput., 2024)

The Design and Fabrication of an On-Rotor Sensing Wireless Vibration Node for Motor Condition Monitoring. - Dawei Shi; Guojin Feng; Xinda Du; Zewen Zhou; Fengshou Gu; Andrew David Ball (IEEE Trans. Instrum. Meas., 2024)

Gearbox Lubricant Condition Monitoring Based on Motor Current Signals From Closed-Loop Control Drive. - Zhexiang Zou; Chun Li; Dongqin Li; Guoji Shen; Fengshou Gu; Andrew D. Ball (IEEE Trans. Instrum. Meas., 2024)

Multiscale cyclic frequency demodulation-based feature fusion framework for multi-sensor driven gearbox intelligent fault detection. - Junchao Guo; Qingbo He; Dong Zhen 001; Fengshou Gu; Andrew D. Ball (Knowl. Based Syst., 2024)

Motor Current Signature Analysis Using Robust Modulation Spectrum Correlation Gram for Gearbox Fault Detection. - Junchao Guo; Qingbo He; Dong Zhen 001; Fengshou Gu (IEEE Trans. Ind. Informatics, 2024)

DNOCNet: A Novel End-to-End Network for Induction Motor Drive Systems Fault Diagnosis Under Speed Fluctuation Condition. - Junchao Guo; Qingbo He; Fengshou Gu (IEEE Trans. Ind. Informatics, 2024)

Small data challenges for intelligent prognostics and health management: a review. - Chuanjiang Li; Shaobo Li 001; Yixiong Feng; Konstantinos Gryllias; Fengshou Gu; Michael G. Pecht (Artif. Intell. Rev., 2024)

DMWMN: A Deep Modulation Network for Gearbox Intelligent Fault Detection Under Variable Working Conditions. - Junchao Guo; Qingbo He; Fengshou Gu; Andrew D. Ball (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Fault diagnosis of wind turbine structures with a triaxial vibration dual-branch feature fusion network. - Yang Guan; Zong Meng; Fengshou Gu; Yanling Cao; Dongqin Li; Xiaopeng Miao; Andrew D. Ball (Reliab. Eng. Syst. Saf., 2025)

Dual-drive RUL prediction of gear transmission systems based on dynamic model and unsupervised domain adaption under zero sample. - Yaoyao Han; Xiaoxi Ding; Fengshou Gu; Xiaohui Chen; Minmin Xu (Reliab. Eng. Syst. Saf., 2025)

Morphological Convolution Undecimated Wavelet: A Novel Frequency Demodulation Analysis Method for Bearing Fault Diagnosis. - Junchao Guo; Qingbo He; Dong Zhen 001; Fengshou Gu (IEEE Trans. Instrum. Meas., 2025)

Multivariate Fusion Covariance Matrix Network and Its Application in Multichannel Fault Diagnosis With Fewer Training Samples. - Junchao Guo; Fengshou Gu; Andrew D. Ball (IEEE Trans. Cybern., 2025)

Generalized Statistical Indicators-Guided Signal Blind Deconvolution for Fault Diagnosis of Railway Vehicle Axle-Box Bearings. - Bingyan Chen; Yao Cheng; Hui Cao; Shuqi Song; Guiming Mei; Fengshou Gu; Weihua Zhang; Andrew D. Ball (IEEE Trans. Veh. Technol., 2025)