Search Results - "Ali, Mohammad Zawad"
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1
Induction Motors Fault Diagnosis Using Finite Element Method: A Review
Published in IEEE transactions on industry applications (01-03-2020)“…Condition monitoring and fault diagnosis of induction motors serve as essential techniques toward the reliable operation of critical industrial processes. The…”
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Journal Article -
2
Machine Learning-Based Fault Diagnosis for Single- and Multi-Faults in Induction Motors Using Measured Stator Currents and Vibration Signals
Published in IEEE transactions on industry applications (01-05-2019)“…In this paper, a practical machine learning-based fault diagnosis method is proposed for induction motors using experimental data. Various single- and…”
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Journal Article -
3
Threshold-Based Induction Motors Single- and Multifaults Diagnosis Using Discrete Wavelet Transform and Measured Stator Current Signal
Published in Canadian journal of electrical and computer engineering (01-01-2020)“…In this article, a threshold-based induction motor fault diagnosis method is proposed using the measured stator current signal. A 0.25-HP three-phase…”
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Journal Article -
4
Single- and Multi-Fault Diagnosis Using Machine Learning for Variable Frequency Drive-Fed Induction Motors
Published in IEEE transactions on industry applications (01-05-2020)“…In this article, an effective machine learning-based fault diagnosis method is developed for induction motors driven by variable frequency drives (VFDs). Two…”
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Journal Article -
5
A Probabilistic Approach for Peak Load Demand Forecasting
Published in 2018 IEEE Canadian Conference on Electrical & Computer Engineering (CCECE) (01-05-2018)“…Accurate load forecasting is a critical step for power system generation planning. Contingency parameters of the system and their dynamic characteristics…”
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Conference Proceeding -
6
Regression Models of Critical Parameters Affecting Peak Load Demand Forecasting
Published in 2018 IEEE Canadian Conference on Electrical & Computer Engineering (CCECE) (01-05-2018)“…In this paper, seven critical parameters have been identified contributing to generation shortages, and affecting the peak load demand forecasting for power…”
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Conference Proceeding -
7
Fault Diagnosis for Induction Motors Using Finite Element Method - A Review
Published in 2019 IEEE Industry Applications Society Annual Meeting (01-09-2019)“…Condition monitoring and fault diagnosis of induction motors is one of the key concerns for reliable operation of critical industrial processes. The finite…”
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Conference Proceeding -
8
Machine Learning Based Fault Diagnosis for Single-and Multi-Faults for Induction Motors Fed by Variable Frequency Drives
Published in 2019 IEEE Industry Applications Society Annual Meeting (01-09-2019)“…In this paper, an effective machine learning based fault diagnosis method is developed for induction motors fed by variable frequency drives (VFDs). Two…”
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Conference Proceeding -
9
Experimental Investigation of Machine Learning Based Fault Diagnosis for Induction Motors
Published in 2018 IEEE Industry Applications Society Annual Meeting (IAS) (01-09-2018)“…In this paper, experimental data are used to develop a practical machine learning based fault diagnosis method for induction motors. Both motor stator currents…”
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Conference Proceeding -
10
A Probabilistic Approach Considering Contingency Parameters for Peak Load Demand Forecasting
Published in Canadian journal of electrical and computer engineering (01-01-2018)“…Accurate load forecasting is a critical step for power system generation planning. Contingency parameters of the system and their dynamic characteristics…”
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Journal Article -
11
Induction Motor Fault Diagnosis Using Discrete Wavelet Transform
Published in 2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) (05-05-2019)“…In this paper, a general methodology is constructed by using experimentally measured stator current signals under full load condition of an induction motor…”
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Conference Proceeding -
12
Design and simulation of high efficiency AlxGa1−xAs/Ga0.47 in0.53asyP1−y bandgraded 2-J tandem solar cell
Published in 2016 3rd International Conference on Electrical Engineering and Information Communication Technology (ICEEICT) (01-09-2016)“…The III-V compound semiconductor based multi-junction tandem solar cell has ultra-high efficiency and better cell stability. In this paper, a new type of…”
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Conference Proceeding