Research and application of manifold learning to fault diagnosis of reciprocating compressor.
Guan-Wei WangJian ZhuangDehong YuPublished in: FSKD (2010)
Keyphrases
- fault diagnosis
- manifold learning
- soft computing methods
- neural network
- electrical power systems
- nonlinear dimensionality reduction
- fault detection
- steam turbine
- fault detection and diagnosis
- expert systems
- high dimensional
- dimensionality reduction
- multiple faults
- gas turbine
- operating conditions
- electronic equipment
- fuzzy logic
- chemical process
- semi supervised
- high dimensional data
- monitoring and fault diagnosis
- rotating machinery
- low dimensional manifolds
- computer vision
- real time
- multi sensor information fusion
- dimension reduction
- steady state
- signal processing
- image features
- active learning
- data analysis
- image processing
- decision making
- artificial intelligence
- genetic algorithm