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 | 18 | 2022 |
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 | 15 | 2023 |
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 | 14 | 2020 |
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 | 12 | 2023 |
Kantorovich distance based fault detection scheme for non-linear processes KR Kini, M Bapat, M Madakyaru IEEE Access 10, 1051-1067, 2021 | 11 | 2021 |
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 | 10 | 2019 |
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 | 6 | 2022 |
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 | 6 | 2022 |
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 | 6 | 2021 |
Monitoring multivariate process using improved Independent component analysis-generalized likelihood ratio strategy KR Kini, M Madakyaru IFAC-PapersOnLine 53 (1), 392-397, 2020 | 6 | 2020 |
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 | 6 | 2020 |
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 | 4 | 2023 |
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 | 4 | 2016 |
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 | 3 | 2023 |
Kantorovich distance based fault detection scheme: An application to wastewater treatment plant KR Kini, M Madakyaru IFAC-PapersOnLine 55 (1), 345-350, 2022 | 3 | 2022 |
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 | 2 | 2023 |
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 | 1 | 2024 |
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 |