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.