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K Ramakrishna Kini
K Ramakrishna Kini
Department of ICE, MIT, MAHE, Manipal
在 manipal.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Improved process monitoring scheme using multi-scale independent component analysis
KR Kini, M Madakyaru
Arabian Journal for Science and Engineering 47 (5), 5985-6000, 2022
182022
Uncovering sensor faults in wind turbines: An improved multivariate statistical approach for condition monitoring using SCADA data
F Harrou, KR Kini, M Madakyaru, Y Sun
Sustainable Energy, Grids and Networks 35, 101126, 2023
152023
Improved process monitoring strategy using Kantorovich distance-independent component analysis: An application to Tennessee Eastman process
KR Kini, M Madakyaru
IEEE Access 8, 205863-205877, 2020
142020
Enhancing wind turbine performance: Statistical detection of sensor faults based on improved dynamic independent component analysis
KR Kini, F Harrou, M Madakyaru, Y Sun
Energies 16 (15), 5793, 2023
122023
Kantorovich distance based fault detection scheme for non-linear processes
KR Kini, M Bapat, M Madakyaru
IEEE Access 10, 1051-1067, 2021
112021
Anomaly detection using multi-scale dynamic principal component analysis for Tenneesse Eastman Process
KR Kini, M Madakyaru
2019 Fifth Indian Control Conference (ICC), 219-224, 2019
102019
A novel anomaly detection scheme for high dimensional systems using Kantorovich distance statistic
M Madakyaru, KR Kini
International Journal of Information Technology 14 (6), 3001-3010, 2022
62022
Automatic detection of unbalanced sitting postures in wheelchairs using unlabeled sensor data
KR Kini, F Harrou, M Madakyaru, F Kadri, Y Sun
IEEE Sensors Letters 6 (8), 1-4, 2022
62022
Performance evaluation of independent component analysis-based fault detection using measurements corrupted with noise
KR Kini, M Madakyaru
Journal of Control, Automation and Electrical Systems 32 (3), 642-655, 2021
62021
Monitoring multivariate process using improved Independent component analysis-generalized likelihood ratio strategy
KR Kini, M Madakyaru
IFAC-PapersOnLine 53 (1), 392-397, 2020
62020
Improved anomaly detection based on integrated multi-scale principal component analysis using wavelets: An application to high dimensional processes
KR Kini, M Madakyaru
IFAC-PapersOnLine 53 (1), 398-403, 2020
62020
Efficient Sitting Posture Recognition for Wheelchair Users: An Unsupervised Data-Driven Framework
KR Kini, F Harrou, M Madakyaru, F Kadri, Y Sun
IEEE Instrumentation & Measurement Magazine 26 (4), 37-43, 2023
42023
Multivariate statistical based process monitoring using principal component analysis: An application to chemical reactor
K Kini, M Madakyaru
International Journal of Circuit Theory and Applications 9 (39), 303-311, 2016
42016
Improved Fault Detection in Chemical Engineering Processes via Non-Parametric Kolmogorov–Smirnov-Based Monitoring Strategy
KR Kini, M Madakyaru, F Harrou, MK Menon, Y Sun
ChemEngineering 8 (1), 1, 2023
32023
Kantorovich distance based fault detection scheme: An application to wastewater treatment plant
KR Kini, M Madakyaru
IFAC-PapersOnLine 55 (1), 345-350, 2022
32022
Detecting pediatric foot deformities using plantar pressure measurements: A semisupervised approach
KR Kini, M Madakyaru, F Harrou, Y Sun
IEEE Design & Test 40 (4), 61-68, 2023
22023
Enhanced data-driven monitoring of wastewater treatment plants using the Kolmogorov–Smirnov test
KR Kini, F Harrou, M Madakyaru, Y Sun
Environmental Science: Water Research & Technology, 2024
12024
Enhancing fault detection in multivariate industrial processes: Kolmogorov–Smirnov non-parametric statistical approach
KR Kini, F Harrou, M Madakyaru, Y Sun
Computers & Chemical Engineering 192, 108876, 2025
2025
PLS-based hellinger distance method for fault detection in chemical engineering systems
KR Kini, F Harrou, M Madakyaru, Y Sun, MK Menon
Engineering Research Express 6 (3), 035007, 2024
2024
A semi-supervised anomaly detection strategy for drunk driving detection: a feasibility study
F Harrou, KR Kini, M Madakyaru, Y Sun
Frontiers in Sensors 5, 1375034, 2024
2024
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