| 1 |
Fault detection and diagnosis of a blade pitch system in a floating wind turbine based on Kalman filters and artificial neural networks
Cho S, Choi M, Gao Z, Moan T
Renewable Energy, 169, 1, 2021 |
| 2 |
Evaluation and improvement of IEC 60891 correction methods for I-V curves of defective photovoltaic panels
Li BJ, Migan-Dubois A, Delpha C, Diallo D
Solar Energy, 216, 225, 2021 |
| 3 |
Deep learning technique for process fault detection and diagnosis in the presence of incomplete data
Guo C, Hu WK, Yang F, Huang DX
Chinese Journal of Chemical Engineering, 28(9), 2358, 2020 |
| 4 |
Loss of Excitation Detection in Synchronous Generators Based on Dynamic State Estimation
Marchi P, Estevez PG, Messina F, Galarza CG
IEEE Transactions on Energy Conversion, 35(3), 1606, 2020 |
| 5 |
Sensor network design based on system-wide reliability criteria. Part II: Formulations and applications
Prakash O, Bhushan M, Narasimhan S, Rengaswamy R
Journal of Process Control, 93, 14, 2020 |
| 6 |
Sensor network design based on system-wide reliability criteria. Part I: Objectives
Prakash O, Bhushan M, Narasimhan S, Rengaswamy R
Journal of Process Control, 93, 66, 2020 |
| 7 |
Hidden Markov model based principal component analysis for intelligent fault diagnosis of wind energy converter systems
Kouadri A, Hajji M, Harkat MF, Abodayeh K, Mansouri M, Nounou H, Nounou M
Renewable Energy, 150, 598, 2020 |
| 8 |
A review of data-driven fault detection and diagnosis methods: applications in chemical process systems
Nor NM, Hassan CRC, Hussain MA
Reviews in Chemical Engineering, 36(4), 513, 2020 |
| 9 |
Sensor fault estimation using LPV sliding mode observers with erroneous scheduling parameters
Chen LJ, Edwards C, Alwi H
Automatica, 101, 66, 2019 |
| 10 |
A performance evaluation framework for building fault detection and diagnosis algorithms
Frank S, Lin GJ, Jjn X, Singla R, Farthing A, Granderson J
Energy and Buildings, 192, 84, 2019 |
