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Wasim Ahmad
Also published under:
Affiliation
School of Electrical, University of Ulsan, Ulsan, South Korea
Topic
Cement Industry,Changes In Speed,Clock Output,Closed-loop Control,Differences In Frequency,Electromotive Force,End Of Life,Error Bounds,Extended Kalman Filter,Failure Threshold,Flux Quantum,Future Values,Health Indicators,Implementation Of Scheme,Indicator Values,Induction Motor,Kalman Filter,Linear Model,Loop Bandwidth,Magnetic Flux,Motor Speed,Ordinary Least Squares Approach,Particle Filter,Performance Of Algorithm,Phase Sequence,Predictive Performance,Prognostic Performance,Pulse Wave,Quadratic Model,Quadratic Regression Model,Random Fluctuations,Regression Model,Remaining Useful Life,Rolling Bearing,Root Mean Square Values,Rényi Entropy,Severe Degradation,Speed Measurement,Speed Regulation,Stator Winding,Suitable Strategy,Tachyarrhythmias,Trends Data,Vibration Acceleration,Window Value,
Biography
Wasim Ahmad received the B.S. degree in information and communication
systems engineering from the School of Electrical Engineering and Computer Science, National University of Sciences
and Technology, Islamabad, Pakistan, in 2012. He is currently working toward the Master degree in computer engineering
with the University of Ulsan, Ulsan, South Korea.
He is working as a Graduate Research Assistant with Embedded Ubiquitous Computing Systems Laboratory, Department of Electrical/Electronic and Computer Engineering, University of Ulsan. His research interests include machine learning and artificial intelligence algorithms and mobile and web applications. He is currently also involved in carrying out research on fault diagnosis and remaining useful life estimation of rolling element bearings using machine learning and digital signal processing techniques.
He is working as a Graduate Research Assistant with Embedded Ubiquitous Computing Systems Laboratory, Department of Electrical/Electronic and Computer Engineering, University of Ulsan. His research interests include machine learning and artificial intelligence algorithms and mobile and web applications. He is currently also involved in carrying out research on fault diagnosis and remaining useful life estimation of rolling element bearings using machine learning and digital signal processing techniques.