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Dileep Kumar  (ORCID: 0000-0002-6211-1078)
Dileep Kumar (ORCID: 0000-0002-6211-1078)
Other namesDileep Kumar Soother
PhD Scholar/Researcher, Universitat Politècnica de Catalunya (UPC) BarcelonaTech, Spain
Verified email at upc.edu - Homepage
Title
Cited by
Cited by
Year
Challenges for practical applications of shape memory alloy actuators
D Kumar, J Daudpoto, BS Chowdhry
Materials Research Express 7 (7), 073001, 2020
572020
Towards soft real-time fault diagnosis for edge devices in industrial IoT using deep domain adaptation training strategy
D Kumar, SM Ujjan, K Dev, SA Khowaja, NA Bhatti, T Hussain
Journal of Parallel and Distributed Computing 160, 90-99, 2022
242022
A brief review of condition monitoring techniques for the induction motor
D Kumar, J Daudpoto
Transactions of the Canadian Society for Mechanical Engineering 43 (4), 499-508, 2019
192019
The importance of feature processing in deep-learning-based condition monitoring of motors
DK Soother, J Daudpoto, NR Harris, M Hussain, S Mehran, IH Kalwar, ...
Mathematical Problems in Engineering 2021, 1-23, 2021
162021
Stator Winding Fault Detection and Classification in Three-Phase Induction Motor
M Hussain, DK Soother, IH Kalwar, TD Memon, ZA Memon, K Nisar, ...
Intelligent Automation & Soft Computing 29 (3), 869-883, 2021
152021
Triaxial bearing vibration dataset of induction motor under varying load conditions
D Kumar, S Mehran, MZ Shaikh, M Hussain, BS Chowdhry, T Hussain
Data in Brief 42, 108315, 2022
112022
Vibration measurement system for the low power induction motor
DK Soother, J Daudpoto, A Shaikh
Engineering Science and Technology International Research Journal 2 (4), 53-57, 2018
112018
Fault Detection and Identification Using Deep Learning Algorithms in InductionMotors.
M Hussain, TD Memon, I Hussain, Z AhmedMemon, D Kumar
CMES-Computer Modeling in Engineering & Sciences 133 (2), 2022
102022
A Novel Method Based on UNET for Bearing Fault Diagnosis
DK Soother, IH Kalwar, T Hussain, BS Chowdhry, SM Ujjan, TD Memon
Computers Materials and Cotinua 69 (1), 393-408, 2021
102021
Adhesion level identification in wheel-rail contact using deep neural networks
SM Ujjan, IH Kalwar, BS Chowdhry, TD Memon, DK Soother
3C Tecnologia, 217-230, 2020
92020
State-of-the-art wayside condition monitoring systems for railway wheels: A comprehensive review
MZ Shaikh, Z Ahmed, BS Chowdhry, EN Baro, T Hussain, MA Uqaili, ...
IEEE Access 11, 13257-13279, 2023
72023
Fatigue failure of SUP-9 spring steel
J Daudpoto, DK Soother, SA Shaikh, T Hussain, ZA Memon
Materials Research Express 8 (6), 066509, 2021
42021
IoT Based Remote Monitoring and Control of an Agricultural Chamber
DK Soother, W Kumar, W Shah
1st International Conference on Computational Sciences and Technologies, 88-92, 2019
32019
Modern condition monitoring systems for railway wheel-set dynamics: Performance analysis and limitations of existing techniques
K Mal, I Hussain, TD Memon, D Kumar, BS Chowdhry
Sir Syed University Research Journal of Engineering & Technology 12 (1), 31-41, 2022
22022
Real-Time Health Monitoring System using IoT for Comatose Patients
AA Mahar, D Kumar, K Nisar
University of Sindh Journal of Information and Communication Technology 5 (3 …, 2022
22022
Development of SMA Actuated Legged Robot
A Shaikh, J Daudpoto, DK Soother, MA Soomro
Eng. Sci. Technol. Int. Res. J 2, 47-52, 2018
22018
A Deep Learninag based Non-invasive and Real-Time Fault Detection System for 3-Phase Induction Motors
MA Fahim, DK Soother, BL Harijan, J Kumari, A Qureshi
Sukkur IBA Journal of Emerging Technologies 4 (1), 1-11, 2021
12021
Deep Learning and Image data-based surface cracks recognition of laser nitrided Titanium alloy
MR Awan, CW Chan, A Murphy, D Kumar, S Goel, C McClory
Results in Engineering, 102003, 2024
2024
Railway track surface faults dataset
A Arain, S Mehran, MZ Shaikh, D Kumar, BS Chowdhry, T Hussain
Data in brief 52, 110050, 2024
2024
Design and implementation of PID based flow rate control using PLC
MZ Shaikh, M Hussain, D Kumar, FA Memon, B Rustam, E Nava Baro
Mehran University Research Journal Of Engineering & Technology 42 (4), 115-122, 2023
2023
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