Fengshou Gu

Orcid: 0000-0003-4907-525X

According to our database1, Fengshou Gu authored at least 88 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Motor Current Signature Analysis Using Robust Modulation Spectrum Correlation Gram for Gearbox Fault Detection.
IEEE Trans. Ind. Informatics, February, 2024

Multiscale cyclic frequency demodulation-based feature fusion framework for multi-sensor driven gearbox intelligent fault detection.
Knowl. Based Syst., January, 2024

2023
IFD-MDCN: Multibranch denoising convolutional networks with improved flow direction strategy for intelligent fault diagnosis of rolling bearings under noisy conditions.
Reliab. Eng. Syst. Saf., September, 2023

Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearing.
Reliab. Eng. Syst. Saf., June, 2023

Intelligent Fault Detection for Rotating Machinery Using Cyclic Morphological Modulation Spectrum and Hierarchical Teager Permutation Entropy.
IEEE Trans. Ind. Informatics, April, 2023

Attention-based deep meta-transfer learning for few-shot fine-grained fault diagnosis.
Knowl. Based Syst., March, 2023

Fault Diagnosis of UAV Based on Adaptive Siamese Network With Limited Data.
IEEE Trans. Instrum. Meas., 2023

Multi-sensor data fusion for rotating machinery fault detection using improved cyclic spectral covariance matrix and motor current signal analysis.
Reliab. Eng. Syst. Saf., 2023

A MLP-Based Transfer Learning Model Using EIS Health Features for State of Health Estimation of Lithium-Ion Battery.
Proceedings of the 28th International Conference on Automation and Computing, 2023

Experimental Investigation on the Vibration of the Thin-Walled Cylindrical Machining.
Proceedings of the 28th International Conference on Automation and Computing, 2023

2022
A Squeezed Modulation Signal Bispectrum Method for Motor Current Signals Based Gear Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022

Fast Spectral Correlation Detector for Periodic Impulse Extraction of Rotating Machinery.
IEEE Trans. Instrum. Meas., 2022

Information Theory and Its Application in Machine Condition Monitoring.
Entropy, 2022

The estimation method of normalized Nonlinear Output Frequency Response Functions with only response signals under stochastic excitation.
Commun. Nonlinear Sci. Numer. Simul., 2022

Rapid State of Health Estimation of Lithium-ion Batteries based on An Active Acoustic Emission Sensing Method.
Proceedings of the 27th International Conference on Automation and Computing, 2022

Exploitation of a Multiband Weighted Envelope Spectrum for Railway Axle Bearing Fault Diagnosis.
Proceedings of the 27th International Conference on Automation and Computing, 2022

2021
A Normalized Frequency-Domain Energy Operator for Broken Rotor Bar Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2021

Online Tool Condition Monitoring of CNC Turnings based on Motor Current Signature Analysis.
Proceedings of the 26th International Conference on Automation and Computing, 2021

Influence of Manufactory Asymmetrical Squirrel Rotor on Motor Current Responses.
Proceedings of the 26th International Conference on Automation and Computing, 2021

A Developed Convolutional Neural Network Architecture for Condition Monitoring.
Proceedings of the 26th International Conference on Automation and Computing, 2021

2020
Fault Diagnosis of Planetary Gearbox Based on Adaptive Order Bispectrum Slice and Fault Characteristics Energy Ratio Analysis.
Sensors, 2020

A Novel Method for the Dynamic Coefficients Identification of Journal Bearings Using Kalman Filter.
Sensors, 2020

Object-Based Thermal Image Segmentation for Fault Diagnosis of Reciprocating Compressors.
Sensors, 2020

Locating Sensors in Large-Scale Engineering Systems for Fault Isolation Based on Fault Feature Reduction.
J. Frankl. Inst., 2020

Dynamics analysis of a hollow-shaft rotor system with an open crack under model uncertainties.
Commun. Nonlinear Sci. Numer. Simul., 2020

Planetary Gear Fault Diagnosis Based on An Instantaneous Angular Speed Measurement System With a Dual Detector Setup.
IEEE Access, 2020

2019
A Novel Fault Detection Method for Rolling Bearings Based on Non-Stationary Vibration Signature Analysis.
Sensors, 2019

Fault Identification for a Closed-Loop Control System Based on an Improved Deep Neural Network.
Sensors, 2019

An Approach to Reducing Input Parameter Volume for Fault Classifiers.
Int. J. Autom. Comput., 2019

A Novel Wavelet Thresholding Method for Vibration Data Denoising and Diagnostic Feature Enhancement in Condition Monitoring.
Proceedings of the 25th International Conference on Automation and Computing, 2019

Fault Diagnosis for Planetary Gearbox Using On-Rotor MEMS Sensor and EMD Analysis.
Proceedings of the 25th International Conference on Automation and Computing, 2019

Airborne Acoustic Signature Analysis for Fault Diagnosis of Reciprocating Compressors Using Modulation Signal Bi-spectrum.
Proceedings of the 25th International Conference on Automation and Computing, 2019

Fault Diagnosis of Planetary Gear System Based on Nonlinear Time-varying Dynamic Model Analysis.
Proceedings of the 25th International Conference on Automation and Computing, 2019

Broken Rotor Bar Detection Using Mathematical Morphology Based on Instantaneous Induction Motor Electrical Signals Analysis.
Proceedings of the 25th International Conference on Automation and Computing, 2019

Modulation Signal Bispectrum Analysis of Acoustic Signals for the Impeller Wear Detection of Centrifugal Pumps.
Proceedings of the 25th International Conference on Automation and Computing, 2019

Fault Diagnosis of Broken Rotor Bar in AC Induction Motor based on A Qualitative Simulation Approach.
Proceedings of the 25th International Conference on Automation and Computing, 2019

Motor Current Signal Analysis Based on Machine Learning for Centrifugal Pump Fault Diagnosis.
Proceedings of the 25th International Conference on Automation and Computing, 2019

2018
Energy Harvesting Technologies for Achieving Self-Powered Wireless Sensor Networks in Machine Condition Monitoring: A Review.
Sensors, 2018

Early Fault Diagnosis for Planetary Gearbox Based Wavelet Packet Energy and Modulation Signal Bispectrum Analysis.
Sensors, 2018

A Review on Energy Harvesting Supplying Wireless Sensor Nodes for Machine Condition Monitoring.
Proceedings of the 24th International Conference on Automation and Computing, 2018

Diagnosing the Change in the Internal Clearances of Rolling Element Bearings based on Vibration Signatures.
Proceedings of the 24th International Conference on Automation and Computing, 2018

Fault Diagnosis of Planetary Gearboxes via Processing the On-Rotor MEMS Accelerometer Signals.
Proceedings of the 24th International Conference on Automation and Computing, 2018

Vibration Analysis of Journal Bearings under Water Contaminated Lubrication.
Proceedings of the 24th International Conference on Automation and Computing, 2018

Diagnosing Lubricant Shortages in Gearboxes Using Instantaneous Phases from Electrical Signals.
Proceedings of the 24th International Conference on Automation and Computing, 2018

Detection and Diagnosis of Centrifugal Pump Bearing Faults Based on the Envelope Analysis of Airborne Sound Signals.
Proceedings of the 24th International Conference on Automation and Computing, 2018

Performance Monitoring and Fault Diagnosis of Vacuum Pumps based on Airborne Sounds.
Proceedings of the 24th International Conference on Automation and Computing, 2018

Condition Monitoring and Fault Diagnosis Based on Multipoint Optimal Minimum Entropy Deconvolution Adjusted Technique.
Proceedings of the 24th International Conference on Automation and Computing, 2018

Empirical Mode Decomposition of Motor Current Signatures for Centrifugal Pump Diagnostics.
Proceedings of the 24th International Conference on Automation and Computing, 2018

2017
Planetary gear fault diagnosis based on instantaneous angular speed analysis.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

Early detection of rolling bearing faults using an auto-correlated envelope ensemble average.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

Fault detection of rolling element bearings using the frequency shift and envelope based compressive sensing.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

Wavelet packet analysis and empirical mode decomposition for the fault diagnosis of reciprocating compressors.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

Planetary gearbox fault diagnosis using an on-rotor MEMS accelerometer.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

The validation of an ACS-SSI based online condition monitoring for railway vehicle suspension systems using a SIMPACK model.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

The identification of shaft current induced defects on rolling bearings in wind turbine generators.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

A dynamic deformation based lubrication model between the piston rings and cylinder liner.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

Expedient identification of the dynamics of ball-screw drives using online-validation.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

Vibration based centrifugal pump fault diagnosis based on modulation signal bispectrum analysis.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

Monitoring gearbox using a wireless temperature node powered by thermal energy harvesting module.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

Fault diagnosis of centrifugal pumps based on the intrinsic time-scale decomposition of motor current signals.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

2016
Detection and diagnosis of compound faults in induction motors using electric signals from variable speed drives.
Proceedings of the 22nd International Conference on Automation and Computing, 2016

A validated finite element model for predicting dynamic responses of cylinder liners in an IC engine.
Proceedings of the 22nd International Conference on Automation and Computing, 2016

Investigation of reductions in motor efficiency caused by stator faults when operated from an inverter drive.
Proceedings of the 22nd International Conference on Automation and Computing, 2016

An investigation of electrical motor parameters in a sensorless variable speed drive for machine fault diagnosis.
Proceedings of the 22nd International Conference on Automation and Computing, 2016

2015
Implementation of envelope analysis on a wireless condition monitoring system for bearing fault diagnosis.
Int. J. Autom. Comput., 2015

Characterisation of acoustic emissions for the frictional effect in engines using wavelets based multi-resolution analysis.
Proceedings of the 21st International Conference on Automation and Computing, 2015

Diagnosis of combination faults in a planetary gearbox using a modulation signal bispectrum based sideband estimator.
Proceedings of the 21st International Conference on Automation and Computing, 2015

Detection and diagnosis of motor stator faults using electric signals from variable speed drives.
Proceedings of the 21st International Conference on Automation and Computing, 2015

A study of diagnostic signatures of a deep groove ball bearing based on a nonlinear dynamic model.
Proceedings of the 21st International Conference on Automation and Computing, 2015

Investigation of motor current signature analysis to detect motor resistance imbalances.
Proceedings of the 21st International Conference on Automation and Computing, 2015

Analysis of frictional effects on the dynamic response of gear systems and the implications for diagnostics.
Proceedings of the 21st International Conference on Automation and Computing, 2015

2014
The Recovery of Weak Impulsive Signals Based on Stochastic Resonance and Moving Least Squares Fitting.
Sensors, 2014

Modelling and validation of a regenerative shock absorber system.
Proceedings of the 20th International Conference on Automation and Computing, 2014

A study of the suspension system for the diagnosis of dynamic characteristics.
Proceedings of the 20th International Conference on Automation and Computing, 2014

Fault diagnosis of reciprocating compressors using revelance vector machines with a genetic algorithm based on vibration data.
Proceedings of the 20th International Conference on Automation and Computing, 2014

2013
An investigation on energy recovery analysis of active suspension system.
Proceedings of the 2013 19th International Conference on Automation and Computing, 2013

The influence of vehicle tyres pressure on the suspension system response by applying the time-frequency approach.
Proceedings of the 2013 19th International Conference on Automation and Computing, 2013

The real-time implementation of envelope analysis for bearing fault diagnosis based on wireless sensor network.
Proceedings of the 2013 19th International Conference on Automation and Computing, 2013

Inter-turn short circuit detection based on modulation signal bispectrum analysis of motor current signals.
Proceedings of the 2013 19th International Conference on Automation and Computing, 2013

2011
A Novel Transform Demodulation Algorithm for Motor Incipient Fault Detection.
IEEE Trans. Instrum. Meas., 2011

Data mining for gearbox condition monitoring.
Proceedings of the 17th International Conference on Automation and Computing, 2011

A novel approach to modelling and simulation of the dynamic behaviour of the wheel-rail interface.
Proceedings of the 17th International Conference on Automation and Computing, 2011

Fault classification of reciprocating compressor based on Neural Networks and Support Vector Machines.
Proceedings of the 17th International Conference on Automation and Computing, 2011

Time Encoded Signal Processing and Recognition of incipient bearing faults.
Proceedings of the 17th International Conference on Automation and Computing, 2011

2009
An Investigation in Computer Aided Evaluator for Antilock Breaking System - ABS.
Proceedings of the 2009 International Conference on Internet Computing, 2009

Information Management System for Machine Diagnostics - IMSMD on the road map.
Proceedings of the 2009 International Conference on Internet Computing, 2009

2007
Integration of multiple platforms for real-time remote model-based condition monitoring.
Comput. Ind., 2007

A Hybrid Model with a Weighted Voting Scheme for Feature Selection in Machinery Condition Monitoring.
Proceedings of the IEEE Conference on Automation Science and Engineering, 2007


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