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Zahoor Ahmad
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Cited by
Year
A Fault Diagnosis Framework for Centrifugal Pumps by Scalogram-Based Imaging and Deep Learning
MJ Hasan, A Rai, Z Ahmad, JM Kim
IEEE Access 9 (2021), 15, 2021
392021
Discriminant Feature Extraction for Centrifugal Pump Fault Diagnosis
Z Ahmad, A Rai, AS Maliuk, JM Kim
IEEE Access 8 (2020), 165512, 2020
392020
A Method for Pipeline Leak Detection Based on Acoustic Imaging and Deep Learning
S Ahmad, Z Ahmad, CH Kim, JM Kim
Sensors 22 (2022), 15, 2022
362022
Novel Bearing Fault Diagnosis Using Gaussian Mixture Model-Based Fault Band Selection
AS Maliuk, AE Prosvirin, Z Ahmad, CH Kim, JM Kim
Sensors 21 (19), 27, 2021
302021
Efficient energy flight path planning algorithm using 3-d visibility roadmap for small unmanned aerial vehicle
Z Ahmad, F Ullah, C Tran, S Lee
International Journal of Aerospace Engineering 2017, 2017
252017
Multistage Centrifugal Pump Fault Diagnosis Using Informative Ratio Principal Component Analysis
Z Ahmad, TK Nguyen, S Ahmad, CD Nguyen, JM Kim
Sensors 22 (179), 15, 2021
232021
Global and Local Feature Extraction Using a Convolutional Autoencoder and Neural Networks for Diagnosing Centrifugal Pump Mechanical Faults
AE Prosvirin, Z Ahmad, J Kim, JM Kim
IEEE Access 9 (2021), 2169-3536, 2021
212021
Leak detection and size identification in fluid pipelines using a novel vulnerability index and 1-D convolutional neural network
Z Ahmad, TK Nguyen, JM Kim
Engineering Applications of Computational Fluid Mechanics 17 (2023), 17, 2023
192023
Pipeline Leakage Detection Using Acoustic Emission and Machine Learning Algorithms
N Ullah, Z Ahmad, JM Kim
Sensors 23 (2023), 19, 2023
172023
Multistage Centrifugal Pump Fault Diagnosis by Selecting Fault Characteristic Modes of Vibration and Using Pearson Linear Discriminant Analysis
Z Ahmad, AE Prosvirin, J Kim, JM Kim
IEEE Access 8 (2020), 11, 2020
172020
Gearbox Fault Identification Framework Based on Novel Localized Adaptive Denoising Technique, Wavelet-Based Vibration Imaging, and Deep Convolutional Neural Network
CD Nguyen, Z Ahmad, JM Kim
Applied Sciences 11 (2021), 26, 2021
142021
A Novel Framework for Centrifugal Pump Fault Diagnosis by Selecting Fault Characteristic Coefficients of Walsh Transform and Cosine Linear Discriminant Analysis
Z Ahmad, A Rai, MJ Hasan, CH Kim, JM Kim
IEEE Access 9 (2021), 150128 - 150141, 2021
132021
A Novel Pipeline Leak Detection Technique Based on Acoustic Emission Features and Two-Sample Kolmogorov–Smirnov Test
A Rai, Z Ahmad, MJ Hasan, JM Kim
Sensors 21 (2021), 2021
122021
A Centrifugal Pump Fault Diagnosis Framework Based on Supervised Contrastive Learning
S Ahmad, Z Ahmad, JM Kim
Sensors 22 (2022), 15, 2022
112022
Pipeline leak diagnosis based on leak-augmented scalograms and deep learning
MF Siddique, Z Ahmad, JM Kim
Engineering Applications of Computational Fluid Mechanics 17 (1), 17, 2023
102023
Centrifugal Pump Fault Diagnosis Based on a Novel SobelEdge Scalogram and CNN
W Zaman, Z Ahmad, MF Siddique, N Ullah, JM Kim
Sensors 23 (2023), 18, 2023
102023
Industrial fluid pipeline leak detection and localization based on a multiscale Mann-Whitney test and acoustic emission event tracking
Z Ahmad, TK Nguyen, A Rai, JM Kim
Mechanical Systems and Signal Processing 189 (2023), 15, 2022
102022
A Scheme with Acoustic Emission Hit Removal for the Remaining Useful Life Prediction of Concrete Structures
ZAJMK Tuan-Khai Nguyen
Sensors 21 (7761), 2021
102021
A Hybrid Deep Learning Approach: Integrating Short-Time Fourier Transform and Continuous Wavelet Transform for Improved Pipeline Leak Detection
MF Siddique, Z Ahmad, N Ullah, JM Kim
Sensors 23 (2023), 21, 2023
92023
A Deep-Learning-Based Health Indicator Constructor Using Kullback–Leibler Divergence for Predicting the Remaining Useful Life of Concrete Structures
TK Nguyen, Z Ahmad, JM Kim
Sensors 22 (2022), 14, 2022
92022
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Articles 1–20