Arunava Naha
Cited by
Cited by
Deep Gaussian process regression for lithium-ion battery health prognosis and degradation mode diagnosis
P Tagade, KS Hariharan, S Ramachandran, A Khandelwal, A Naha, ...
Journal of Power Sources 445, 227281, 2020
A Method for Detecting Half-Broken Rotor Bar in Lightly Loaded Induction Motors Using Current
A Naha, AK Samanta, A Routray, AK Deb
IEEE Transactions on Instrumentation and Measurement 65 (7), 1614-1625, 2016
Internal short circuit detection in Li-ion batteries using supervised machine learning
A Naha, A Khandelwal, S Agarwal, P Tagade, KS Hariharan, A Kaushik, ...
Scientific reports 10 (1), 1301, 2020
An incremental voltage difference based technique for online state of health estimation of li-ion batteries
A Naha, S Han, S Agarwal, A Guha, A Khandelwal, P Tagade, ...
Scientific reports 10 (1), 9526, 2020
Analysis of the effect of resistance increase on the capacity fade of lithium ion batteries
AR Mandli, A Kaushik, RS Patil, A Naha, KS Hariharan, SM Kolake, S Han, ...
International Journal of Energy Research 43 (6), 2044-2056, 2019
On-board short-circuit detection of Li-ion batteries undergoing fixed charging profile as in smartphone applications
A Naha, A Khandelwal, KS Hariharan, A Kaushik, A Yadu, SM Kolake
IEEE Transactions on Industrial Electronics 66 (11), 8782-8791, 2019
Low complexity motor current signature analysis using sub-Nyquist strategy with reduced data length
A Naha, AK Samanta, A Routray, AK Deb
IEEE Transactions on Instrumentation and Measurement 66 (12), 3249-3259, 2017
Fast and accurate spectral estimation for online detection of partial broken bar in induction motors
AK Samanta, A Naha, A Routray, AK Deb
Mechanical Systems and Signal Processing 98, 63-77, 2018
Sequential detection of replay attacks
A Naha, A Teixeira, A Ahlén, S Dey
IEEE Transactions on Automatic Control 68 (3), 1941-1948, 2022
Minimum distance-based detection of incipient induction motor faults using Rayleigh quotient spectrum of conditioned vibration signal
AK Samanta, A Routray, SR Khare, A Naha
IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2021
Determining autocorrelation matrix size and sampling frequency for MUSIC algorithm
A Naha, AK Samanta, A Routray, AK Deb
IEEE Signal Processing Letters 22 (8), 1016-1020, 2014
Mobile application to detect induction motor faults
A Naha, KR Thammayyabbabu, AK Samanta, A Routray, AK Deb
IEEE Embedded Systems Letters 9 (4), 117-120, 2017
Particle swarm optimisation with Kalman correction
A Naha, AK Deb
Electronics letters 49 (7), 465-467, 2013
Quickest detection of deception attacks on cyber–physical systems with a parsimonious watermarking policy
A Naha, AMH Teixeira, A Ahlén, S Dey
Automatica 155, 111147, 2023
Apparatus and methods for identifying anomaly (ies) in re-chargeable battery of equipment and connected component (s)
N Arunava, A Khandelwal, Y Ankit, KS Hariharan, A George, ...
US Patent App. 16/169,623, 2019
Quickest detection of deception attacks in networked control systems with physical watermarking
A Naha, A Teixeira, A Ahlen, S Dey
arXiv preprint arXiv:2101.01466, 2021
Physics informed Li-ion cell parameter estimation using characteristic response isolation
A Talukdar, RS Patil, A Kaushik, A Naha, SP Adiga, D Jung, SM Kolake, ...
Journal of Energy Storage 32, 101962, 2020
Automated Analysis of Nano‐Impact Single‐Entity Electrochemistry Signals Using Unsupervised Machine Learning and Template Matching
Z Zhao, A Naha, S Ganguli, A Sekretareva
Advanced Intelligent Systems, 2300424, 2024
Method and system for determining health parameter of a battery
N Arunava, A Khandelwal, KS Hariharan, S Han
US Patent 11,402,433, 2022
Deception attack detection using reduced watermarking
A Naha, A Teixeira, A Ahlén, S Dey
2021 European control conference (ECC), 74-80, 2021
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