| 1 |
Condition monitoring and predictive maintenance methodologies for hydropower plants equipment
Betti A, Crisostomi E, Paolinelli G, Piazzi A, Ruffini F, Tucci M
Renewable Energy, 171, 246, 2021 |
| 2 |
A simple and effective detection strategy using double exponential scheme for photovoltaic systems monitoring
Taghezouit B, Harrou F, Sun Y, Arab AH, Larbes C
Solar Energy, 214, 337, 2021 |
| 3 |
Improving wind turbine power curve monitoring with standardisation
Helbing G, Ritter M
Renewable Energy, 145, 1040, 2020 |
| 4 |
Control loop performance monitoring based on weighted permutation entropy and control charts
Wu P, Guo LL, Duan YY, Zhou W, He GJ
Canadian Journal of Chemical Engineering, 97, 1488, 2019 |
| 5 |
Monitoring and control of bottomhole pressure during surge and swab operations using statistical process control
Imanian M, Ghassemi A, Karbasian M
Energy Sources Part A-recovery Utilization and Environmental Effects, 40(8), 894, 2018 |
| 6 |
Monitoring of biodiesel content and adulterant presence in methyl and ethyl biodiesels of jatropha in blends with mineral diesel using MIR spectrometry and multivariate control charts
Sitoe BV, Maquina ADV, de Santana FB, Gontijo LC, Santos DQ, Neto WB
Fuel, 191, 290, 2017 |
| 7 |
A Systematic Comparison of PCA-based Statistical Process Monitoring Methods for High-dimensional, Time-dependent Processes
Rato T, Reis M, Schmitt E, Hubert M, De Ketelaere B
AIChE Journal, 62(5), 1478, 2016 |
| 8 |
Amalgamation of anomaly-detection indices for enhanced process monitoring
Harrou F, Sun Y, Khadraoui S
Journal of Loss Prevention in The Process Industries, 40, 365, 2016 |
| 9 |
Power curve monitoring using weighted moving average control charts
Cambron P, Lepvrier R, Masson C, Tahan A, Pelletier F
Renewable Energy, 94, 126, 2016 |
| 10 |
SPC based on growth models for monitoring the process of hydrogenation of edible oil
Chakraborty S, Mandal PK
Journal of Food Engineering, 146, 192, 2015 |
