| Detection and diagnosis of compound faults in induction motors using electric signals from variable speed drives A Shaeboub, M Lane, U Haba, F Gu, AD Ball 2016 22nd International Conference on Automation and Computing (ICAC), 306-312, 2016 | 14 | 2016 |
| Empirical mode decomposition of motor current signatures for centrifugal pump diagnostics S Alabied, U Haba, A Daraz, F Gu, AD Ball 2018 24th International conference on automation and computing (ICAC), 1-6, 2018 | 12 | 2018 |
| Airborne acoustic signature analysis for fault diagnosis of reciprocating compressors using modulation signal bi-spectrum D Mondal, U Haba, F Gu, A Ball 2019 25th International Conference on Automation and Computing (ICAC), 1-5, 2019 | 10 | 2019 |
| A COMPARATIVE STUDY OF GRAVITATIONAL ACCELERATION CANCELLATION FROM ON-ROTOR MEMS ACCELEROMETERS FOR CONDITION MONITORING Z Mones, G Feng, X Tang, U Haba, F Gu, AD Ball | 10 | 2017 |
| Modulation signal bispectrum analysis of electric signals for the detection and diagnosis of compound faults in induction motors with sensorless drives A Shaeboub, F Gu, M Lane, U Haba, Z Wu, AD Ball Systems Science & Control Engineering 5 (1), 252-267, 2017 | 9 | 2017 |
| An Investigation into Vibration Response for Condition Monitoring of Reciprocating Compressor based on Modulation Signal Spectrum Analysis. U Haba, K Brethee, O Hassin, F Gu, AD Ball International Journal of COMADEM 21 (3), 2018 | 6 | 2018 |
| Diagnosis of compound faults in reciprocating compressors based on modulation signal bispectrum of current signals U Haba, A Shaeboub, Z Mones, F Gu, A Ball Proceedings of the 2nd International Conference on Maintenance Engineering …, 2017 | 5 | 2017 |
| Modelling and simulation of a two stage reciprocating compressor for condition monitoring based on motor current signature analysis U Haba, K Brethee, S Alabied, D Mondal, F Gu, A Ball Condition Monitoring and Diagnostic Engineering Management 2, 2018 | 4 | 2018 |
| Detection and diagnosis of compound faults in a reciprocating compressor based on motor current signatures U Haba, G Feng, A Shaeboub, X Peng, F Gu, A Ball | 3 | 2016 |
| Monitoring mis-operating conditions of journal bearings based on modulation signal bispectrum analysis of vibration signals O Hassin, U Haba, F Gu, A Ball CEST_2018, 2018 | 2 | 2018 |
| Motor Current Signature Analysis for the Compound Fault Diagnosis of Reciprocating Compressors. U Haba, G Feng, A Shaeboub, X Peng, F Gu, AD Ball International Journal of COMADEM 20 (3), 2017 | 2 | 2017 |
| Information Extraction Based on the Analysis of Motor Supply and Structural Vibration for Machinery Condition Monitoring UAM Haba University of Huddersfield, 2019 | 1 | 2019 |
| Detection and Diagnosis of Reciprocating Compressor Faults Based on Modulation Signal Bispectrum Analysis of Vibrations U Haba, K Brethee, O Hassin, F Gu, A Ball | | 2017 |
| Ejaz, Nouman, 50 El-Zonkoly, Amany, 394 Elakkary, Ahmed, 790 Ertiame, Abdelkarim, 334, 340 Eze, Elias, 548 R Alzubi, U Amin, Z Amjad, A Annamalai, R Appadoo, R Aspin, ... | | |
Andrew D. BallPro-Vice-Chancellor and Professor of Diagnostic Engineering, University of HuddersfieldDirección de correo verificada de hud.ac.uk
