Unsupervised fault detection approach based on depth auto-encoder for photovoltaic power generation system.
Jun ZhangZongren ChenWeimei WuLiuyang ShaoKaihuan DengShixiong GaoPublished in: J. Comput. Methods Sci. Eng. (2024)
Keyphrases
- fault detection
- power generation
- power plant
- wind power
- fault diagnosis
- industrial processes
- electric power
- tennessee eastman
- fault identification
- soft computing
- fuel cell
- decision support system
- historical data
- electric power systems
- power system
- robust fault detection
- wind speed
- power grid
- wind turbine
- short term
- neural network
- electricity markets
- real time
- production cost
- rough sets
- expert systems