Andrew D. Ball
Orcid: 0000-0002-8593-6830Affiliations:
- University of Huddersfield, UK
- University of Manchester, UK (former)
According to our database1,
Andrew D. Ball
authored at least 93 papers
between 1997 and 2024.
Collaborative distances:
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Bibliography
2024
DMWMN: A Deep Modulation Network for Gearbox Intelligent Fault Detection Under Variable Working Conditions.
IEEE Trans. Syst. Man Cybern. Syst., October, 2024
Multiscale cyclic frequency demodulation-based feature fusion framework for multi-sensor driven gearbox intelligent fault detection.
Knowl. Based Syst., January, 2024
Gearbox Lubricant Condition Monitoring Based on Motor Current Signals From Closed-Loop Control Drive.
IEEE Trans. Instrum. Meas., 2024
The Design and Fabrication of an On-Rotor Sensing Wireless Vibration Node for Motor Condition Monitoring.
IEEE Trans. Instrum. Meas., 2024
Characterising the Orthogonal Outputs of an On- Rotor Sensing Vibration Node for Efficient Condition Monitoring of Electric Motors.
Proceedings of the 29th International Conference on Automation and Computing, 2024
Proceedings of the 29th International Conference on Automation and Computing, 2024
Fault Diagnosis of a Marine Electric Propulsion System Based on Order Tracking Motor Current Signature Analysis.
Proceedings of the 29th International Conference on Automation and Computing, 2024
2023
Novel Fault Diagnosis of a Conveyor Belt Mis-Tracking via Motor Current Signature Analysis.
Sensors, April, 2023
Novel Investigation of Higher Order Spectral Technologies for Fault Diagnosis of Motor-Based Rotating Machinery.
Sensors, April, 2023
Attention-based deep meta-transfer learning for few-shot fine-grained fault diagnosis.
Knowl. Based Syst., March, 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
2022
A Squeezed Modulation Signal Bispectrum Method for Motor Current Signals Based Gear Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022
Novel Diagnosis Technologies for a Lack of Oil Lubrication in Gearmotor Systems, Based on Motor Current Signature Analysis.
Sensors, 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
2021
IEEE Trans. Instrum. Meas., 2021
Novel Prediction of Diagnosis Effectiveness for Adaptation of the Spectral Kurtosis Technology to Varying Operating Conditions.
Sensors, 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
Proceedings of the 26th International Conference on Automation and Computing, 2021
Proceedings of the 26th International Conference on Automation and Computing, 2021
2020
Novel Method for Vibration Sensor-Based Instantaneous Defect Frequency Estimation for Rolling Bearings Under Non-Stationary Conditions.
Sensors, 2020
Novel Higher-Order Spectral Cross-Correlation Technologies for Vibration Sensor-Based Diagnosis of Gearboxes.
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
An Evaluation of Gearbox Condition Monitoring Using Infrared Thermal Images Applied with Convolutional Neural Networks.
Sensors, 2019
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
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
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
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
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
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
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
A survey of link quality properties related to transmission power control protocols in wireless sensor networks.
Proceedings of the 23rd International Conference on Automation and Computing, 2017
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
An approach to fault diagnosis of reciprocating compressor valves using Teager-Kaiser energy operator and deep belief networks.
Expert Syst. Appl., 2014
Proceedings of the 20th International Conference on Automation and Computing, 2014
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 application to transient current signal based induction motor fault diagnosis of Fourier-Bessel expansion and simplified fuzzy ARTMAP.
Expert Syst. Appl., 2013
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
Proceedings of the Seventh UKSim/AMSS European Modelling Symposium, 2013
2012
A new method for modelling and simulation of the dynamic behaviour of the wheel-rail contact.
Int. J. Autom. Comput., 2012
2011
Feature selection for high-dimensional machinery fault diagnosis data using multiple models and Radial Basis Function networks.
Neurocomputing, 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
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
2002
Math. Comput. Simul., 2002
2000
Fault detection in rotating machinery using kernel-based probability density estimation.
Int. J. Syst. Sci., 2000
1997
Proceedings of the Evolutionary Computing, 1997