| 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 | 166 | 2007 |
| 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 | 135 | 2010 |
| An approach of condition monitoring of induction motor using MCSA N Mehla, R Dahiya International journal of systems applications, Engineering and development 1 …, 2007 | 87 | 2007 |
| 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 | 83 | 2008 |
| Rolling element bearing fault diagnosis using empirical mode decomposition and Hjorth parameters C Grover, N Turk Procedia Computer Science 167, 1484-1494, 2020 | 63 | 2020 |
| 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 | 57 | 2009 |
| 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 | 51 | 2021 |
| 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 | 49 | 2009 |
| 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 | 41 | 2010 |
| 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 | 38 | 2022 |
| 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 | 18 | 2020 |
| Current signature analysis for condition monitoring of motors N Mehala International Journal of Electronics and Computer Science Engineering 1 (3 …, 2011 | 18 | 2011 |
| 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 | 12 | 2016 |
| Optimal statistical feature subset selection for bearing fault detection and severity estimation C Grover, N Turk Shock and Vibration 2020 (1), 5742053, 2020 | 8 | 2020 |
| 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 | 8 | 2019 |
| 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 | 8 | 2015 |
| 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 | 7 | 2023 |
| 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 | 7 | 2020 |
| Condition monitoring and fault diagnosis of induction motor using motor current signature analysis [PhD thesis] N Mehala Kurukshetra, India: National Institute of Technology, 2010 | 7 | 2010 |
| Fault diagnosis using park’s vector approach N Turk International Journal of Electrical and Computer Engineering 8 (1), 7-11, 2016 | 6 | 2016 |
