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samir Alabied
samir Alabied
Dirección de correo verificada de hud.ac.uk
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Año
Vibration based centrifugal pump fault diagnosis based on modulation signal bispectrum analysis
O Hamomd, S Alabied, Y Xu, A Daraz, F Gu, A Ball
2017 23rd International Conference on Automation and Computing (ICAC), 1-5, 2017
202017
Detection and diagnosis of centrifugal pump bearing faults based on the envelope analysis of airborne sound signals
A Daraz, S Alabied, A Smith, F Gu, AD Ball
2018 24th International Conference on Automation and Computing (ICAC), 1-6, 2018
132018
Fault diagnosis of centrifugal pumps based on the intrinsic time-scale decomposition of motor current signals
S Alabied, O Hamomd, A Daraz, F Gu, AD Ball
2017 23rd International Conference on Automation and Computing (ICAC), 1-6, 2017
132017
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
122018
Motor current signal analysis based on machine learning for centrifugal pump fault diagnosis
S Alabied, A Daraz, K Rabeyee, I Alqatawneh, F Gu, AD Ball
2019 25th International Conference on automation and computing (ICAC), 1-7, 2019
92019
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
42018
Detection and diagnosis of mechanical seal faults in centrifugal pumps based on acoustic measurement
A Daraz, S Alabied, D Zhen, F Gu, AD Ball
Advances in Asset Management and Condition Monitoring: COMADEM 2019, 963-975, 2020
32020
Modulation signal bispectrum analysis of acoustic signals for the impeller wear detection of centrifugal pumps
A Daraz, S Alabied, F Gu, AD Ball
2019 25th International Conference on Automation and Computing (ICAC), 1-6, 2019
32019
A comparative study of acoustic and vibration signals for bearing fault detection and diagnosis based on MSB analysis
A Daraz, S Alabied, F Gu, AD Ball
International Conference on Maintenance Engineering, 854-868, 2020
12020
Enhancement of Condition Monitoring Information from the Control Data of Electrical Motors Based on Machine Learning Techniques
S Alabied
University of Huddersfield, 2020
12020
Bond graph modelling for condition monitoring of induction motors
A Alashter, Y Cao, K Rabeyee, S Alabied, F Gu, AD Ball
Advances in Asset Management and Condition Monitoring: COMADEM 2019, 511-523, 2020
12020
Extraction of Information from Vibration Data using Double Density Discrete Wavelet Analysis for Condition Monitoring
K Rabeyee, Y Xu, S Alabied, F Gu, A Ball
2019
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Artículos 1–12