Следене
Gbanaibolou Jombo
Gbanaibolou Jombo
Senior Lecturer in Machine Performance and Structural Integrity, University of Hertfordshire
Потвърден имейл адрес: herts.ac.uk - Начална страница
Заглавие
Позовавания
Позовавания
Година
Adaptive multiscale weighted permutation entropy for rolling bearing fault diagnosis
Z Huo, Y Zhang, G Jombo, L Shu
IEEE Access 8, 87529-87540, 2020
282020
Acoustic-based machine condition monitoring—methods and challenges
G Jombo, Y Zhang
Eng 4 (1), 47-79, 2023
142023
Influence of fouling on compressor dynamics: Experimental and modeling approach
G Jombo, J Pecinka, S Sampath, D Mba
Journal of Engineering for Gas Turbines and Power 140 (3), 032603, 2018
142018
Integrated gas turbine system diagnostics: components and sensor faults quantification using artificial neural networks
EO Osigwe, YG Li, S Suresh, G Jombo
International Society for Air Breathing Engines (ISABE), 2017
132017
Automated gas turbine sensor fault diagnostics
G Jombo, Y Zhang, JD Griffiths, T Latimer
Turbo Expo: Power for Land, Sea, and Air 51128, V006T05A003, 2018
112018
A knowledge transfer platform for fault diagnosis of industrial gas turbines
Y Zhang, G Jombo, A Latimer
2018 IEEE 22nd international conference on intelligent engineering systems …, 2018
92018
Knowledge sharing enabled multirobot collaboration for preventive maintenance in mixed model assembly
B Chen, Y Zhang, X Xia, M Martinez-Garcia, G Jombo
IEEE Transactions on Industrial Informatics 18 (11), 8098-8107, 2022
82022
Towards an automated system for industrial gas turbine acceptance testing
G Jombo, Y Zhang, JD Griffiths, T Latimer
IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society …, 2017
32017
Determination of acousto-ultrasonic wave propagation in an isotropic aluminium Al6082-T6 plate
KS PRASAD, G Jombo, SO Ismail, YK Chen, HN Dhakal
12023
Fault Detection and Isolation in Electric Vehicle Powertrain
G Jombo, Y Zhang
Modern Automotive Electrical Systems, 193-225, 2022
12022
Evaluation of 2D Acoustic Signal Representations for Acoustic-Based Machine Condition Monitoring
G Jombo, A Shriram
12022
A Fatigue Life Assessment Methodology for Rolling-Element Bearing Under Irregular Loading
G Jombo, P Pilidis, S Sampath, D Mba
12015
Machine Condition Monitoring and Maintenance Strategies: A Guide to Predictive Maintenance with Acoustic-Based and Machine Intelligence Techniques
G Jombo, Y Zhang, D Mba
Wiley, 2025
2025
Sensor Fault Detection and Diagnosis: Methods and Challenges
G Jombo
12th IFAC Symposium on Fault Detection, Supervision and Safety for Technical …, 2023
2023
Proceedings of Abstracts, School of Physics, Engineering and Computer Science Research Conference 2022
L Coudron, D Amafabia, L Asimea, J Bally, A Baran, A Boies, A Borjali, ...
2nd School of Physics, Engineering and Computer Science Research Conference, 2022
2022
Proceedings of Abstracts, School of Physics, Engineering and Computer Science Research Conference 2022
D Amafabia, L Asimea, J Bally, A Baran, A Boies, A Borjali, C Bosomworth, ...
University of Hertfordshire, 2022
2022
Quantitative assessment of damage in composites by implementing acousto-ultrasonics technique
KS Prasad, G Jombo, SO Ismail, YK Chen, HN Dhakal
International Conference on Energy and Sustainable Futures, 209-217, 2022
2022
Effects of Sensor Spacing and Material Thickness of Al 6082-T6 using Acousto-Ultrasonics Technique
KS Prasad, G Jombo, SO Ismail, YK CHEN, H Dhakal
PECS 2022 Physics, Engineering and Computer Science Research conference …, 2022
2022
Damage Characterisation in Composite Laminates Using Vibro-Acoustic
KG Andersen, G Jombo, SO Ismail, YK Chen, HN Dhakal, Y Zhang
Energy and Sustainable Futures, 275, 2021
2021
Influence of Ply Stacking Sequences on the Impact Response of Carbon Fibre Reinforced Polymer Composite Laminates
KG Andersen, G Jombo, SO Ismail, S Adeyemi, S Akram
2019
Системата не може да изпълни операцията сега. Опитайте отново по-късно.
Статии 1–20