Fault Diagnosis with Spacecraft High-Dimensional Data Based on Machine Learning.
Hanyu LiangYun LiuChengrui LiuWenjing LiuWenbo LiPublished in: CAA SAFEPROCESS (2021)
Keyphrases
- high dimensional data
- fault diagnosis
- machine learning
- electrical power systems
- data analysis
- dimensionality reduction
- nearest neighbor
- high dimensional
- neural network
- fault detection
- fuzzy logic
- low dimensional
- expert systems
- high dimensionality
- data sets
- subspace clustering
- monitoring and fault diagnosis
- data points
- condition monitoring
- manifold learning
- multiple faults
- high dimensional datasets
- pattern recognition
- power system
- rotating machinery
- fault detection and diagnosis
- chemical process
- analog circuits
- electronic equipment
- gas turbine
- power transformers
- multi sensor information fusion
- operating conditions
- data mining
- clustering high dimensional data
- high dimensional spaces
- text classification
- computational intelligence
- feature selection
- knowledge discovery
- learning algorithm
- artificial intelligence
- feature extraction
- decision trees
- real world
- failure diagnosis
- similarity measure
- active learning
- input data