Arunava Naha - Concepedia

Author

Arunava Naha

Indian Institute of Technology Kharagpur ORCID

Also Known As

A. Naha, Arunava Naha, Naha, Arunava

Publications

973

Citations

H-Index

Concepts

All Affiliations

Indian Institute of Technology Kharagpur Samsung (India)Uppsala University Samsung (South Korea)

About

Arunava Naha is an author at Indian Institute of Technology Kharagpur specializing in engineering, signal processing, and structural health monitoring.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	11	11	689
2	Computer Engineering	2	2	84
3	Computer Science	2	2	106
4	Public Health	1	1	200
5	Biostatistics	1	1	200

Arunava Naha

Publications

914

Citations

H-Index

Page 1

	Year	Citations
Deep Gaussian process regression for lithium-ion battery health prognosis and degradation mode diagnosis Piyush Tagade, Krishnan S. Hariharan, Sanoop Ramachandran, Journal of Power Sources EngineeringMachine LearningData ScienceLife PredictionGaussian Process	2019	200
Internal short circuit detection in Li-ion batteries using supervised machine learning Arunava Naha, Ashish Khandelwal, Samarth Agarwal, Scientific Reports	2020	141
A Method for Detecting Half-Broken Rotor Bar in Lightly Loaded Induction Motors Using Current Arunava Naha, Anik Kumar Samanta, Aurobinda Routray, IEEE Transactions on Instrumentation and Measurement Fault DiagnosisCondition MonitoringEngineeringHalf-broken Rotor BarAutocorrelation Matrix	2016	123
Sequential Detection of Replay Attacks Arunava Naha, André Teixeira, Anders Åhlén, IEEE Transactions on Automatic Control EngineeringInformation SecurityVerificationInformation ForensicsSide-channel Attack	2022	79
An Incremental Voltage Difference Based Technique for Online State of Health Estimation of Li-ion Batteries Arunava Naha, Seong‐Ho Han, Samarth Agarwal, Scientific Reports	2020	71
Analysis of the effect of resistance increase on the capacity fade of lithium ion batteries Aravinda R. Mandli, Anshul Kaushik, Rajkumar S. Patil, International Journal of Energy Research Electric BatteryElectrical EngineeringEngineeringLithium-ion BatteryLithium-ion Batteries	2019	66
Fast and accurate spectral estimation for online detection of partial broken bar in induction motors Anik Kumar Samanta, Arunava Naha, Aurobinda Routray, Mechanical Systems and Signal Processing Fault DiagnosisCondition MonitoringEngineeringFault EstimationPattern Recognition	2017	42
Low Complexity Motor Current Signature Analysis Using Sub-Nyquist Strategy With Reduced Data Length Arunava Naha, Anik Kumar Samanta, Aurobinda Routray, IEEE Transactions on Instrumentation and Measurement Fault DiagnosisElectrical EngineeringCondition MonitoringSupply FrequencyEngineering	2017	42
On-Board Short-Circuit Detection of Li-ion Batteries Undergoing Fixed Charging Profile as in Smartphone Applications Arunava Naha, Ashish Khandelwal, Krishnan S. Hariharan, IEEE Transactions on Industrial Electronics Electric BatteryElectrical EngineeringOn-board Short-circuit DetectionEngineeringLi-ion Battery Materials	2019	42
Minimum Distance-Based Detection of Incipient Induction Motor Faults Using Rayleigh Quotient Spectrum of Conditioned Vibration Signal Anik Kumar Samanta, Aurobinda Routray, Swanand Khare, IEEE Transactions on Instrumentation and Measurement Fault DiagnosisCondition MonitoringEngineeringFault EstimationConditioned Vibration Signal	2021	28

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