Andrew Starr

According to our database, Andrew Starr authored at least 27 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Fiber-Guided Motorized Rotation Laser Scanning Thermography Technique for Impact Damage Crack Inspection in Composites.

Haochen Liu, Lawrence Tinsley, Kailun Deng, Yizhong Wang, Andrew Starr, Zhenmao Chen, Yifan Zhao

IEEE Trans. Ind. Electron., March, 2024

Detecting wheel slip from railway operational data through a combined wavelet, long short-term memory and neural network classification method.

Bernadin Namoano, Christos Emmanouilidis, Andrew Starr

Eng. Appl. Artif. Intell., 2024

Explainable and interpretable bearing fault classification and diagnosis under limited data.

Luis Magadán, Cristobal Ruiz-Carcel, Juan C. Granda, Francisco J. Suárez, Andrew Starr

Adv. Eng. Informatics, 2024

2023

Elastic Wave Mechanics in Damaged Metallic Plates.

Samuel Chukwuemeka Olisa, Muhammad A. Khan, Andrew Starr

Symmetry, November, 2023

Automated Prediction of Crack Propagation Using H2O AutoML.

Intisar Omar, Muhammad A. Khan, Andrew Starr, Khaled Abou Rok Ba

Sensors, October, 2023

Neural network-based parametric system identification: a review.

Aoxiang Dong, Andrew Starr, Yifan Zhao

Int. J. Syst. Sci., October, 2023

An autonomous rail-road amphibious robotic system for railway maintenance using sensor fusion and mobile manipulator.

Haochen Liu, Miftahur Rahman, Masoumeh Rahimi, Andrew Starr, Isidro Durazo-Cardenas, Cristobal Ruiz-Carcel, Agusmian Partogi Ompusunggu, Amanda Hall, Robert Anderson

Comput. Electr. Eng., September, 2023

A railway track reconstruction method using robotic vision on a mobile manipulator: A proposed strategy.

Miftahur Rahman, Haochen Liu, Mohammed Masri, Isidro Durazo-Cardenas, Andrew Starr

Comput. Ind., June, 2023

Suitability Analysis of Machine Learning Algorithms for Crack Growth Prediction Based on Dynamic Response Data.

Intisar Omar, Muhammad A. Khan, Andrew Starr

Sensors, February, 2023

Real-Time Prognostics and Health Management Without Run-to-Failure Data on Railway Assets.

Minoru Shimizu, Suresh Perinpanayagam, Bernadin Namoano, Andrew Starr

IEEE Access, 2023

2022

A Review on Technologies for Localisation and Navigation in Autonomous Railway Maintenance Systems.

Masoumeh Rahimi, Haochen Liu, Isidro Durazo-Cardenas, Andrew Starr, Amanda Hall, Robert Anderson

Sensors, 2022

Challenges for a Railway Inspection and Repair System from Railway Infrastructure.

Miftahur Rahman, Masoumeh Rahimi, Andrew Starr, Isidro Durazo-Cardenas, Amanda Hall, Robert Anderson

Proceedings of the 10th International Conference on Control, Mechatronics and Automation, 2022

2021

Review of Current Guided Wave Ultrasonic Testing (GWUT) Limitations and Future Directions.

Samuel Chukwuemeka Olisa, Muhammad A. Khan, Andrew Starr

Sensors, 2021

Towards an Autonomous RIRS: Design, Structure Investigation and Framework.

Miftahur Rahman, Haochen Liu, Isidro Durazo-Cardenas, Andrew Starr, Amanda Hall, Robert Anderson

Proceedings of the 7th International Conference on Mechatronics and Robotics Engineering, 2021

2020

A Novel Inspection Technique for Electronic Components Using Thermography (NITECT).

Haochen Liu, Lawrence Tinsley, Wayne Lam, Sri Addepalli, Xiaochen Liu, Andrew Starr, Yifan Zhao

Sensors, 2020

A Machine Learning Approach to Model Interdependencies between Dynamic Response and Crack Propagation.

Thomas Fleet, Khangamlung Kamei, Feiyang He, Muhammad A. Khan, Kamran A Khan, Andrew Starr

Sensors, 2020

Ontology-Based Context Modeling in Physical Asset Integrity Management.

Ali Al-Shdifat, Christos Emmanouilidis, Muhammad A. Khan, Andrew Starr

Frontiers Comput. Sci., 2020

Hybrid modelling for linear actuator diagnosis in absence of faulty data records.

Kerman López de Calle-Etxabe, Cristobal Ruiz-Carcel, Andrew Starr, Susana Ferreiro, Aitor Arnaiz, Meritxell Gómez-Omella, Basilio Sierra

Comput. Ind., 2020

An Overview of Web Robots Detection Techniques.

Hanlin Chen, Hongmei He, Andrew Starr

Proceedings of the 2020 International Conference on Cyber Security and Protection of Digital Services, 2020

2019

Online change detection techniques in time series: An overview.

Bernadin Namoano, Andrew Starr, Christos Emmanouilidis, Cristobal Ruiz-Carcel

Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

2018

Data-Based Detection and Diagnosis of Faults in Linear Actuators.

Cristobal Ruiz-Carcel, Andrew Starr

IEEE Trans. Instrum. Meas., 2018

Estimation of Fine and Oversize Particle Ratio in a Heterogeneous Compound with Acoustic Emissions.

Ejay Nsugbe, Cristobal Ruiz-Carcel, Andrew Starr, Ian Jennions

Sensors, 2018

2017

Particle swarm for path planning in a racing circuit simulation.

Maurizio Bevilacqua, Antonios Tsourdos, Andrew Starr

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2017

2016

Egomotion estimation for monocular camera visual odometer.

Maurizio Bevilacqua, Antonios Tsourdos, Andrew Starr

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2016

2015

An Intelligent Framework and Prototype for Autonomous Maintenance Planning in the Rail Industry.

Chris J. Turner, Ashutosh Tiwari, Andrew Starr, Isidro Durazo-Cardenas, Kevin Blacktop

Proceedings of the 1st International Conference on Vehicle Technology and Intelligent Transport Systems, 2015

2006

An intelligent maintenance system for continuous cost-based prioritisation of maintenance activities.

William J. Moore, Andrew G. Starr

Comput. Ind., 2006

2005

A Review of data fusion models and architectures: towards engineering guidelines.

Jaime Esteban, Andrew Starr, Robert Willetts, Paul Hannah, Peter Bryanston-Cross

Neural Comput. Appl., 2005