Sheraz Ali Khan
Sheraz Ali Khan
University of Ulsan, Ulsan South Korea
Verified email at
TitleCited byYear
Discriminant feature distribution analysis-based hybrid feature selection for online bearing fault diagnosis in induction motors
R Islam, SA Khan, J Kim
Journal of Sensors 2016, 2016
A hybrid prognostics technique for rolling element bearings using adaptive predictive models
W Ahmad, SA Khan, JM Kim
IEEE Transactions on Industrial Electronics 65 (2), 1577-1584, 2017
Bearing Fault Diagnosis under Variable Speed Using Convolutional Neural Networks and the Stochastic Diagonal Levenberg-Marquardt Algorithm
SAKJMK Viet Tra, Jaeyoung Kim
Sensors 17 (12), 1-16, 2017
Reliable bearing fault diagnosis using Bayesian inference-based multi-class support vector machines
JMK M. M. Manjurul Islam, Jaeyoung Kim, Sheraz A. Khan
Journal of Acoustical Society of America 141 (2), EL89-EL95, 2017
A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models
W Ahmad, SA Khan, MMM Islam, JM Kim
Reliability Engineering & System Safety 184, 67-76, 2019
Incipient fault diagnosis in bearings under variable speed conditions using multiresolution analysis and a weighted committee machine
V Tra, J Kim, SA Khan, JM Kim
The Journal of the Acoustical Society of America 142 (1), EL35-EL41, 2017
Automated Bearing Fault Diagnosis using 2D Analysis of Vibration Acceleration Signals under Variable Speed Conditions
SA Khan, JM Kim
Shock and Vibration 2016,, 2016
A video-based smoke detection using smoke flow pattern and spatial-temporal energy analyses for alarm systems
DK Appana, R Islam, SA Khan, JM Kim
Information Sciences 418, 91-101, 2017
Rotational Speed Invariant Fault Diagnosis in Bearings using Vibration Signal Imaging and Local Binary Patterns
SA Khan, JM Kim
The Journal of Acoustical Society of America 139 (4), EL100-EL104, 2016
Estimating the remaining useful life of bearings using a neuro-local linear estimator-based method
W Ahmad, S Ali Khan, JM Kim
The Journal of the Acoustical Society of America 141 (5), EL452-EL457, 2017
Multi-fault diagnosis of roller bearings using support vector machines with an improved decision strategy
MMM Islam, SA Khan, JM Kim
International Conference on Intelligent Computing, 538-550, 2015
Maximum class separability-based discriminant feature selection using a GA for reliable fault diagnosis of induction motors
MR Islam, SA Khan, JM Kim
International Conference on Intelligent Computing, 526-537, 2015
A high-performance, resource-efficient, reconfigurable parallel-pipelined FFT processor for FPGA platforms
JMK Ngoc Hung Nguyen, Sheraz Ali Khan, Cheol-Hong Kim
Microprocessors and Microsystems 60 (July 2018), 96-106, 2018
Real-time vehicle recognition and improved traffic congestion resolution
I Ali, A Malik, W Ahmed, SA Khan
2015 13th International Conference on Frontiers of Information Technology …, 2015
Protocols and Mechanisms to Recover Failed Packets in Wireless Networks: History and Evolution
JMK Sheraz Ali Khan, Muhammad Moosa, Farhan Naeem, Muhammad Hamad Alizai
IEEE Access, 1, 2016
A Pipelined FFT Processor Using an Optimal Hybrid Rotation Scheme for Complex Multiplication: Design, FPGA Implementation and Analysis
JMK Hung Ngoc Nguyen, Sheraz Ali Khan, Cheol-Hong Kim
Electronics 7 (8), 137, 2018
Towards bearing health prognosis using generative adversarial networks: Modeling bearing degradation
JMK Sheraz Ali Khan, Alexander E. Prosvirin
2018 International Conference on Advancements in Computational Sciences (ICACS), 2018
A Reliable Health Indicator for Fault Prognosis of Bearings
JMK Bach Phi Duong, Sheraz Ali Khan, Dongkoo Shon, Kichang Im, Jeongho Park ...
Sensors 18 (11), 2018
An FPGA-based implementation of a pipelined FFT processor for high-speed signal processing applications
NH Nguyen, SA Khan, CH Kim, JM Kim
International Symposium on Applied Reconfigurable Computing, 81-89, 2017
Distance and Density Similarity Based Enhanced-NN Classifier for Improving Fault Diagnosis Performance of Bearings
S Uddin, M Islam, SA Khan, J Kim, JM Kim, SM Sohn, BK Choi
Shock and Vibration 2016, 2016
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