Paramita Chattopadhyay

Associate Professor

Electrical Engineering

Academic Qualifications

• Ph.D. (Engg.)
• M.E. (Electrical Engg.)
• B.E. (Electrical Engg.)

Contact

Phone

1. Office: +9133 2668 4561 to 63 (Ext. 555)

Address

1. Residence: Q. No. – B-245, IIEST, Shibpur Campus, Howrah -711103, West Bengal, India
2. EMail: pc@ee.iiests.ac.in, paramita_chattopadhyay@yahoo.com

Area of Research

• Condition monitoring of electrical equipment
• Machine learning and Signal Processing
• Energy Informatics
• Application of nano materials in power sector

Sponsored Research Project 

• DST ( 2002 -05)
• AICTE ( 2005 – 2008)
• IEI 
• CSIR ( 2010 - 2014 )
• NPP, CPRI( Ministry of Power) ( 2014 – 2017)

Patents

1.“Artificial Neural Network Based Adaptive Over-Current Relay”

Inventors: Dr. Paramita Chattopadhyay, Dr. Pratyay Konar, Mr. Subhrajit Mitra

App. No.: 201731019385              Filing Date: 02/06/2017

2. "Nano material  includingAmourphousGraphene and Nono Fluids involving the same with a base medium having significantly Enhanced Electrical Insulation and Thermal Conductivity”

Inventors: Dr. Paramita Chattopadhyay, Prof.Kalyan Kr. Chattopadhyay, Ms. Mississippi Missouri Bhunia

App. No.: 201731040823              Filing Date: 15/11/2017

Courses undertaken

• Neural Networks & Systems
• Microprocessors in Instrumentation, Monitoring and Control
• Soft Computing Techniques in Electrical Engineering
• Electrical and Electronic Measurement
• Electrical Machines and their Applications
• Control and Instrumentation
• Condition Monitoring of Electrical Equipment
• Signals and Systems

Recent Publications 

     Journals/ International Conferences

1. P. Konar and Dr. P. Chattopadhyay, “Bearing Fault Detection of Induction Motor using Wavelet and Support Vector Machines (SVM)”, Applied Soft Computing (Elsevier), 11( 2011), pp. 4203–4211. Impact factor : 3.907
2. P. Konar, Dr. P. Chattopadhyay, “Feature Extraction Using Wavelet Transform For Multi-Class Fault Detection of Induction Motor”, Journal of the Institution of Engineers (India), Springer: Series B, vol. 95. No. 1, 2014, pp 73-81.
3. P. Konar, Dr. P. Chattopadhyay, “Multi-Class Fault Diagnosis of Induction Motor Using Hilbert and Wavelet Transform”, Applied Soft Computing( Elsevier), Vol. 30, 2015, pp 341–352.  Impact factor: 3.241
4. P. Konar, P. Chattopadhyay, “Knowledge Extraction using Data Mining for Multi-Class Fault Diagnosis of Induction Motor”, Neurocomputing(Elsevier), Vol. 166, 2015, pp. 14–25.  Impact factor: 3.907
5. P. S. Panigrahy, P. Chattopadhyay, “A Cascaded Signal Processing Approach for Incipient Broken RotorBar Fault Detection, International Jornal for Computation and Mathematics in Electrical and Electronic Engineering , COMPEL, Vol.38 , No. 1, 2018.   Impact factor: 0.534
6. P. S. Panigrahy, P. Chattopadhyay, “Improved Classification by Non Iterative and Ensemble Classifiers in Motor Fault Diagnosis”, Advances in  Electrical and computer Engineering,  Vol. 18(1), No. 95-104,   January  2018  Impact factor: 0.699
7. S. Mitra, P. Chattopadhyay, “Design and Implementation of Flexible Over Current Relay On FPGA” , International Journal of Energy and Power Engineering Systems  (Elsevier), 104 (2019), 797-806    Impact factor: 3.610
8. P. Chattopadhyay et. al., “ Amorphous Graphene- Transformer Oil Nano Fluids with Superior Thermal and Insulating Properties”, CARBON (Elsevier), 139 (2018), 1010-1019, Impact factor: 7.02
9. T. Dutta, D. Santra, C. P. Lim, J. Sil, P. Chattopadhyay, “Statistical feature analysis of thermal images of electrical equipment”, International Conference on Recent Trends in Operations Research and Statistics (RTORS-2017), IIT Roorkee, 28-30 th December, 2017
10. M. Mondal, P. Mondal,N. Saha and P. Chattopadhyay,"Automatic Number Plate Recognition Using CNN Based Self Synthesized  Feature Learning, IEEE-CALCON2017.
11. P. S. Panigrahy, D. Santra, P. Chattopadhyay,"Feature Engineering In Fault Diagnosis Of Induction Motor", 3rd International Conference on Condition Assessment Techniques in Electrical Systems ( IEEE- CATCON-2017)
12. M. M. Bhunia, S. Das, P. Chattopadhyay, S. Das, K. K. Chattopadhyay, "Enhancement of thermal conductivity of transformer oil by exfoliated white graphene nanosheets,"16th IEEE International Conference on Environment and Electrical Engineering (EEEIC), Florence, 2016, pp. 1-5.
13. S. Mitra, P. Chattopadhyay, "Challenges in implementation of ANN in embedded system," International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), Chennai, March 3-5, 2016, pp. 1794-1798.
14. P. S. Panigrahy, S. Mitra, P. Konar, P. Chattopadhyay, “FPGA Friendly Fault Detection Technique for Inverter Fed Induction Motor” 2^nd International Conference on Control, Instrumentation, Energy & Communication (CIEC-2016), January 28 - 30, 2016, pp. 299-303.
15. T. Dutta, P. Chattopadhyay, “Condition Monitoring of Electrical Equipment using Thermal Image Processing” IEEE First International Conference on Control, Measurement and Instrumentation ( IEEE CMI-2016), January 8-10, 2016.
16. , “Application of Data Mining in Fault Diagnosis of Induction Motor” IEEE First International Conference on Control, Measurement and Instrumentation ( IEEE CMI-2016), January 8-10, 2016. 
17. S. Mondal, P. Chattapadhyay, “Fuzzy Vs. Neuro-fuzzy: Implementation on the Reconfigurable FPGA System”, International Conference on Energy, Power and Environment (ICEPE 2015), 12-13^th June 2015
18. P. S. Panigrahy, P. Konar, P. Chattopadhyay, “Broken Bar Fault Detection using Fused DWT-FFT in FPGA Platform”, International Conference on Power, Control and Embedded Systems (ICPCES-2014), December 28-29, 2014.