Name
Affiliation
Papers
FENGSHOU GU
School of Mechanical, Aerospace & Civil Engineering, University of Manchester, Institute of Science and Technology, Manchester, UK
61
Collaborators
Citations 
PageRank 
143
23
23.43
Referers 
Referees 
References 
85
409
108
Search Limit
100409
Title
Citations
PageRank
Year
A Developed Convolutional Neural Network Architecture for Condition Monitoring00.342021
Deep Learning To Segment Pelvic Bones: Large-Scale Ct Datasets And Baseline Models00.342021
Influence of Manufactory Asymmetrical Squirrel Rotor on Motor Current Responses00.342021
Online Tool Condition Monitoring of CNC Turnings based on Motor Current Signature Analysis00.342021
A Normalized Frequency-Domain Energy Operator For Broken Rotor Bar Fault Diagnosis00.342021
Object-Based Thermal Image Segmentation for Fault Diagnosis of Reciprocating Compressors.00.342020
A Novel Method for the Dynamic Coefficients Identification of Journal Bearings Using Kalman Filter.00.342020
Dynamics analysis of a hollow-shaft rotor system with an open crack under model uncertainties00.342020
Fault Diagnosis of Planetary Gearbox Based on Adaptive Order Bispectrum Slice and Fault Characteristics Energy Ratio Analysis.00.342020
Locating Sensors in Large-Scale Engineering Systems for Fault Isolation Based on Fault Feature Reduction00.342020
An Approach to Reducing Input Parameter Volume for Fault Classifiers00.342019
Fault Diagnosis of Planetary Gear System Based on Nonlinear Time-varying Dynamic Model Analysis00.342019
Fault Identification for a Closed-Loop Control System Based on an Improved Deep Neural Network.00.342019
Modulation Signal Bispectrum Analysis of Acoustic Signals for the Impeller Wear Detection of Centrifugal Pumps00.342019
Motor Current Signal Analysis Based on Machine Learning for Centrifugal Pump Fault Diagnosis00.342019
Fault Diagnosis of Broken Rotor Bar in AC Induction Motor based on A Qualitative Simulation Approach00.342019
A Novel Wavelet Thresholding Method for Vibration Data Denoising and Diagnostic Feature Enhancement in Condition Monitoring00.342019
Broken Rotor Bar Detection Using Mathematical Morphology Based on Instantaneous Induction Motor Electrical Signals Analysis00.342019
Airborne Acoustic Signature Analysis for Fault Diagnosis of Reciprocating Compressors Using Modulation Signal Bi-spectrum00.342019
A Novel Fault Detection Method for Rolling Bearings Based on Non-Stationary Vibration Signature Analysis.00.342019
Fault Diagnosis for Planetary Gearbox Using On-Rotor MEMS Sensor and EMD Analysis00.342019
Condition Monitoring and Fault Diagnosis Based on Multipoint Optimal Minimum Entropy Deconvolution Adjusted Technique00.342018
Diagnosing Lubricant Shortages in Gearboxes Using Instantaneous Phases from Electrical Signals00.342018
Performance Monitoring and Fault Diagnosis of Vacuum Pumps based on Airborne Sounds00.342018
Energy Harvesting Technologies for Achieving Self-Powered Wireless Sensor Networks in Machine Condition Monitoring: A Review.20.442018
A Review on Energy Harvesting Supplying Wireless Sensor Nodes for Machine Condition Monitoring00.342018
Early Fault Diagnosis for Planetary Gearbox Based Wavelet Packet Energy and Modulation Signal Bispectrum Analysis.20.432018
Vibration Analysis of Journal Bearings under Water Contaminated Lubrication00.342018
Diagnosing the Change in the Internal Clearances of Rolling Element Bearings based on Vibration Signatures00.342018
Empirical Mode Decomposition of Motor Current Signatures for Centrifugal Pump Diagnostics00.342018
Detection and Diagnosis of Centrifugal Pump Bearing Faults Based on the Envelope Analysis of Airborne Sound Signals00.342018
Fault Diagnosis of Planetary Gearboxes via Processing the On-Rotor MEMS Accelerometer Signals00.342018
Planetary gearbox fault diagnosis using an on-rotor MEMS accelerometer00.342017
Expedient identification of the dynamics of ball-screw drives using online-validation00.342017
The identification of shaft current induced defects on rolling bearings in wind turbine generators00.342017
Wavelet packet analysis and empirical mode decomposition for the fault diagnosis of reciprocating compressors.00.342017
A dynamic deformation based lubrication model between the piston rings and cylinder liner00.342017
Planetary gear fault diagnosis based on instantaneous angular speed analysis00.342017
Fault diagnosis of centrifugal pumps based on the intrinsic time-scale decomposition of motor current signals00.342017
Vibration based centrifugal pump fault diagnosis based on modulation signal bispectrum analysis00.342017
Monitoring gearbox using a wireless temperature node powered by thermal energy harvesting module00.342017
The validation of an ACS-SSI based online condition monitoring for railway vehicle suspension systems using a SIMPACK model00.342017
Fault detection of rolling element bearings using the frequency shift and envelope based compressive sensing.00.342017
Early detection of rolling bearing faults using an auto-correlated envelope ensemble average00.342017
Detection and diagnosis of compound faults in induction motors using electric signals from variable speed drives00.342016
A validated finite element model for predicting dynamic responses of cylinder liners in an IC engine00.342016
An investigation of electrical motor parameters in a sensorless variable speed drive for machine fault diagnosis00.342016
Investigation of reductions in motor efficiency caused by stator faults when operated from an inverter drive00.342016
Analysis of frictional effects on the dynamic response of gear systems and the implications for diagnostics00.342015
Characterisation of acoustic emissions for the frictional effect in engines using wavelets based multi-resolution analysis20.772015
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