Fault detection and isolation using probabilistic wavelet neural operator auto-encoder with application to dynamic processes J Rani, T Tripura, H Kodamana, S Chakraborty, PK Tamboli Process Safety and Environmental Protection 173, 215-228, 2023 | 16 | 2023 |
Fault detection and isolation of multi-variate time series data using spectral weighted graph auto-encoders U Goswami, J Rani, H Kodamana, S Kumar, PK Tamboli Journal of the Franklin Institute 360 (10), 6783-6803, 2023 | 8 | 2023 |
Fault detection of pressurized heavy water nuclear reactors with steady state and dynamic characteristics using data-driven techniques J Rani, AA Roy, H Kodamana, PK Tamboli Progress in Nuclear Energy 156, 104516, 2023 | 7 | 2023 |
Generative adversarial wavelet neural operator: Application to fault detection and isolation of multivariate time series data J Rani, T Tripura, H Kodamana, S Chakraborty arXiv preprint arXiv:2401.04004, 2024 | 5 | 2024 |
Energy out-of-distribution based fault detection of multivariate time-series data U Goswami, J Rani, D Kumar, H Kodamana, M Ramteke Computer Aided Chemical Engineering 52, 1885-1890, 2023 | 5 | 2023 |
Fault detection using Fourier neural operator J Rani, T Tripura, U Goswami, H Kodamana, S Chakraborty Computer Aided Chemical Engineering 52, 1897-1902, 2023 | 5 | 2023 |
A graph embedding based fault detection framework for process systems with multi-variate time-series datasets U Goswami, J Rani, H Kodamana, PK Tamboli, PD Vaswani Digital Chemical Engineering 10, 100135, 2024 | 4 | 2024 |
Reconstruction error‐based fault detection of time series process data using generative adversarial auto‐encoders J Rani, U Goswami, H Kodamana, PK Tamboli The Canadian Journal of Chemical Engineering, 2023 | 2 | 2023 |