Outlier Detection in Wind Turbine Frequency Converters Using Long-Term Sensor Data.
Nils SchwenzfeierMarkus HeikampOle MeyerAndre HönnscheidtMichael SteffesVolker GruhnPublished in: AAAI (2022)
Keyphrases
- sensor data
- outlier detection
- long term
- wind turbine
- wind energy
- data streams
- short term
- wind speed
- wind power
- wind farm
- sensor networks
- detection algorithm
- renewable energy
- fraud detection
- sensor measurements
- density ratio estimation
- knowledge discovery
- detecting outliers
- detect outliers
- power generation
- sensor readings
- density estimation
- high dimensional datasets
- smart environments
- multiple sensors
- credit card fraud detection
- health monitoring
- fault diagnosis
- distance based outlier detection
- raw sensor data
- database
- power plant
- concept drift
- data mining
- streaming data
- case based reasoning
- expert systems
- artificial intelligence
- neural network