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Anil Kumar
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Latest developments in gear defect diagnosis and prognosis: A review
A Kumar, CP Gandhi, Y Zhou, R Kumar, J Xiang
Measurement 158, 107735, 2020
1722020
Fault diagnosis of angle grinders and electric impact drills using acoustic signals
A Glowacz, R Tadeusiewicz, S Legutko, W Caesarendra, M Irfan, H Liu, ...
Applied Acoustics 179, 108070, 2021
1452021
Novel convolutional neural network (NCNN) for the diagnosis of bearing defects in rotary machinery
A Kumar, G Vashishtha, CP Gandhi, Y Zhou, A Glowacz, J Xiang
IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2021
1322021
Time-frequency analysis and support vector machine in automatic detection of defect from vibration signal of centrifugal pump
A Kumar, A Kumar
Measurement 108, 119-133, 2017
1222017
Improved deep convolution neural network (CNN) for the identification of defects in the centrifugal pump using acoustic images
A Kumar, CP Gandhi, Y Zhou, R Kumar, J Xiang
Applied Acoustics 167, 107399, 2020
1192020
Optimization of VMD using kernel-based mutual information for the extraction of weak features to detect bearing defects
A Kumar, Y Zhou, J Xiang
Measurement 168, 108402, 2021
982021
Role of Signal Processing, Modeling and Decision Making in the Diagnosis of Rolling Element Bearing Defect: A Review
A Kumar, K R
Journal of Nondestructive Evaluation 38 (1), 1-29, 2019
822019
Bearing defect size assessment using wavelet transform based Deep Convolutional Neural Network (DCNN)
A Kumar, Y Zhou, CP Gandhi, R Kumar, J Xiang
Alexandria Engineering Journal 59 (2), 999-1012, 2020
812020
VMD based trigonometric entropy measure: a simple and effective tool for dynamic degradation monitoring of rolling element bearing
A Kumar, CP Gandhi, G Vashishtha, P Kundu, H Tang, A Glowacz, ...
Measurement Science and Technology 33 (1), 014005, 2021
752021
Fault diagnosis of rolling element bearing based on symmetric cross entropy of neutrosophic sets
A Kumar, CP Gandhi, Y Zhou, H Tang, J Xiang
Measurement 152, 107318, 2020
652020
Variational mode decomposition based symmetric single valued neutrosophic cross entropy measure for the identification of bearing defects in a centrifugal pump
A Kumar, CP Gandhi, Y Zhou, R Kumar, J Xiang
Applied Acoustics 165, 107294, 2020
602020
A novel entropy-based sparsity measure for prognosis of bearing defects and development of a sparsogram to select sensitive filtering band of an axial piston pump
Y Zhou, A Kumar, C Parkash, G Vashishtha, H Tang, J Xiang
Measurement 203, 111997, 2022
552022
Noise subtraction and marginal enhanced square envelope spectrum (MESES) for the identification of bearing defects in centrifugal and axial pump
A Kumar, H Tang, G Vashishtha, J Xiang
Mechanical Systems and Signal Processing 165, 108366, 2022
532022
Tacho-less sparse CNN to detect defects in rotor-bearing systems at varying speed
A Kumar, G Vashishtha, CP Gandhi, H Tang, J Xiang
Engineering applications of artificial intelligence 104, 104401, 2021
532021
Machinery fault diagnosis based on domain adaptation to bridge the gap between simulation and measured signals
Y Lou, A Kumar, J Xiang
IEEE Transactions on Instrumentation and Measurement 71, 1-9, 2022
472022
State-space modeling and novel entropy-based health indicator for dynamic degradation monitoring of rolling element bearing
A Kumar, C Parkash, G Vashishtha, H Tang, P Kundu, J Xiang
Reliability Engineering & System Safety 221, 108356, 2022
472022
A symbiosis of arithmetic optimizer with slime mould algorithm for improving global optimization and conventional design problem
S Chauhan, G Vashishtha, A Kumar
The Journal of Supercomputing 78 (5), 6234-6274, 2022
452022
Improved CNN for the diagnosis of engine defects of 2-wheeler vehicle using wavelet synchro-squeezed transform (WSST)
A Kumar, CP Gandhi, Y Zhou, G Vashishtha, R Kumar, J Xiang
Knowledge-Based Systems 208, 106453, 2020
452020
A deep multi-signal fusion adversarial model based transfer learning and residual network for axial piston pump fault diagnosis
Y He, H Tang, Y Ren, A Kumar
Measurement 192, 110889, 2022
432022
Sparse transfer learning for identifying rotor and gear defects in the mechanical machinery
A Kumar, G Vashishtha, CP Gandhi, H Tang, J Xiang
Measurement 179, 109494, 2021
382021
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Articles 1–20