A Novel Semi-Supervised Feature Extraction Method and Its Application in Automotive Assembly Fault Diagnosis Based on Vision Sensor Data.
Xuan ZengShibin YinYin GuoJiarui LinJigui ZhuPublished in: Sensors (2018)
Keyphrases
- sensor data
- fault diagnosis
- semi supervised
- sensor networks
- fault detection
- expert systems
- neural network
- sensor measurements
- fuzzy logic
- monitoring and fault diagnosis
- fault identification
- chemical process
- fault detection and diagnosis
- analog circuits
- sensor readings
- industrial systems
- electronic equipment
- health monitoring
- multi sensor information fusion
- operating conditions
- human activities
- data streams
- real time
- rbf neural network
- power transformers
- bp neural network
- raw sensor data
- image processing
- rotating machinery
- electrical power systems
- low cost sensors
- condition monitoring
- multiple faults
- gas turbine
- multiple sensors
- labeled data
- active learning
- data sets
- feature set
- decision making