Следене
Neelam Mehala Turk
Neelam Mehala Turk
Professor in Department of Electronics Engineering, J.C.Bose University of Science &Technology
Потвърден имейл адрес: jcboseust.ac.in - Начална страница
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Позовавания
Позовавания
Година
Motor current signature analysis and its applications in induction motor fault diagnosis
N Mehala, R Dahiya
International journal of systems applications, engineering & development 2 …, 2007
1662007
Condition monitoring and fault diagnosis of induction motor using motor current signature analysis
N Mehala
A Ph. D Thesis submitted to the Electrical Engineering Department, National …, 2010
1412010
A comparative study of FFT, STFT and wavelet techniques for induction machine fault diagnostic analysis
N Mehala, R Dahiya
Proceedings of the 7th WSEAS international conference on computational …, 2008
852008
An approach of condition monitoring of induction motor using MCSA
N Mehla, R Dahiya
International journal of systems applications, Engineering and development 1 …, 2007
832007
Rolling element bearing fault diagnosis using empirical mode decomposition and Hjorth parameters
C Grover, N Turk
Procedia Computer Science 167, 1484-1494, 2020
652020
Condition monitoring methods, failure identification and analysis for Induction machines
N Mehala, R Dahiya
International journal of circuits, systems and signal processing 3 (1), 10-17, 2009
582009
MQTT protocol employing IOT based home safety system with ABE encryption
V Gupta, S Khera, N Turk
Multimedia Tools and Applications 80 (2), 2931-2949, 2021
562021
Rotor faults detection in induction motor by wavelet analysis
N Mehala, R Dahiya
International journal of engineering science and technology 1 (3), 90-99, 2009
492009
A novel fault diagnostic system for rolling element bearings using deep transfer learning on bispectrum contour maps
C Grover, N Turk
Engineering Science and Technology, an International Journal 31, 101049, 2022
422022
Detection of bearing faults of induction motor using Park’s vector approach
N Mehala, R Dahiya
International Journal of Engineering and Technology 2 (4), 263-266, 2010
422010
Current signature analysis for condition monitoring of motors
N Mehala
Int. Journal of Electronics and Computer Science Engineering 1 (3), 1629-1633, 2013
172013
Health monitoring of induction motors through embedded systems-simulation of broker rotor bar fault and abnormal gear teeth fault
P Gandhi, N Turk, R Dahiya
Microprocessors and Microsystems 76, 103077, 2020
162020
Automatic speech recognition using optimal selection of features based on hybrid ABC-PSO
S Mendiratta, N Turk, D Bansal
2016 international conference on inventive computation technologies (ICICT …, 2016
132016
Optimal statistical feature subset selection for bearing fault detection and severity estimation
C Grover, N Turk
Shock and Vibration 2020 (1), 5742053, 2020
92020
Automatic speech recognition by cuckoo search optimization based artificial neural network classifier
D Bansal, N Turk, S Mendiratta
2015 International Conference on Soft Computing Techniques and …, 2015
92015
HC-WSN: a Hibernated Clustering based framework for improving energy efficiency of wireless sensor networks
S Khera, N Turk, N Kaur
Multimedia Tools and Applications 82 (3), 3879-3894, 2023
82023
A robust isolated automatic speech recognition system using machine learning techniques
S Mendiratta, N Turk, D Bansal
Int J Innov Technol Exploring Eng 8, 2278-3075, 2019
82019
A practical approach to energy consumption in wireless sensor networks
S Khera, N Turk, N Kaur
International Journal of Advanced Intelligence Paradigms 16 (2), 190-202, 2020
72020
A comparative study of FFT
N Mehala, R Dahiya
STFT and wavelet techniques for, 2019
62019
Fault diagnosis using park’s vector approach
N Turk
International Journal of Electrical and Computer Engineering 8 (1), 7-11, 2016
62016
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