Composite-Graph-Based Sparse Subspace Clustering for Machine Fault Diagnosis.
Chuang SunXuefeng ChenRuqiang YanRobert X. GaoPublished in: IEEE Trans. Instrum. Meas. (2020)
Keyphrases
- fault diagnosis
- subspace clustering
- high dimensional
- high dimensional data
- subspace clusters
- clustering method
- neural network
- fault detection
- expert systems
- clustering algorithm
- monitoring and fault diagnosis
- fuzzy logic
- electronic equipment
- fault detection and diagnosis
- rotating machinery
- bp neural network
- fault identification
- chemical process
- condition monitoring
- gas turbine
- power transformers
- multiple faults
- operating conditions
- vibration signal
- low dimensional
- semi supervised
- pattern recognition
- decision making
- machine learning
- subspace projections
- data sets
- multi sensor information fusion
- power plant
- high dimensionality
- kernel function
- data points
- training data
- artificial intelligence
- data mining