Dr. Parth Sarathi Panigrahy

Qualification : Ph.D.

Details of Educational Qualification:

Course Specialization Group College Name/University Year of Passing
Ph.D. Electrical Engineering Electrical Engineering Indian Institute of Engineering Science and Technology, Shibpur 2018
M.E. Electrical Machines Electrical Engineering Indian Institute of Engineering Science and Technology, Shibpur 2013
B.Tech. Electrical Engineering Electrical Engineering Biju Patnaik University of Technology, Orissa 2007

Note : Students are advised to meet me in Room No : WB-012 at any time other than my class hours mentioned in the below timetable for any discussions related to the subjects & research.

My Schedule for 2020-21

List of Publications

S.No Title of the Paper Full Details of Journal Name / Conference Name, Volume number, page number, Date
1 “Cascaded Signal Processing Approach for Motor Fault Diagnosis” COMPEL - The international journal for computation and mathematics in electrical and electronic engineering (Emerald Publishing Limited), 2018. (SCI)
2 "Improved Classification by Non Iterative and Ensemble Classifiers in Motor Fault Diagnosis" Advances in Electrical and Computer Engineering, vol.18, no. 1, 2018, pp. 95-104.(SCI)
3 “Quassi 1D CNN-based Fault Diagnosis of Induction Motor Drives” 5th International Conference on Electric Power and Energy Conversion Systems (EPECS 2018), Kitakyushu, Japan, April 23-25, 2018. (ACCEPTED)
4 “Feature engineering in fault diagnosis of induction motor” 3rd International Conference on Condition Assessment Techniques in Electrical Systems (CATCON), 2017, pp. 306-310.
5 “FPGA Friendly Fault Detection Technique for Inverter Fed Induction Motor” 2nd International Conference on Control,Instrumentation, Energy & Communication (CIEC-2016), January 28 - 30, 2016, pp. 120-124.
6 “Application of Data Mining in Fault Diagnosis of Induction Motor” IEEE First International Conference on Control, Measurement and Instrumentation (CMI-2016), January 8-10, 2016, pp. 274 – 278.
7 “Broken Bar Fault Detection using Fused DWTFFT in FPGA Platform” International Conference on Power, Control and Embedded Systems (ICPCES-2014), December 28-29, 2014.
  • P. Konar, P. S. Panigrahy, P. Chattopadhyay, “Tri-Axial Vibration Analysis using Data Mining for Multi class Fault Diagnosis in Induction Motor”, In: Prasath R., Vuppala A., Kathirvalavakumar T. (eds) Mining Intelligence and Knowledge Exploration. Lecture Notes in Computer Science, vol 9468. Springer, Cham.