An anomaly detection algorithm of rolling bearing combining random matrix eigenvalues and principal eigenvectors.
Heng WangWenchang ZhuWenyuan ZhangGuangxian NiYupeng CaoPublished in: Trans. Inst. Meas. Control (2022)
Keyphrases
- detection algorithm
- eigenvalues and eigenvectors
- covariance matrix
- correlation matrix
- singular value decomposition
- random matrix theory
- detection method
- laplacian matrix
- detection rate
- eigendecomposition
- positive definite
- motion detection
- detection accuracy
- feature detection
- corner detection
- adjacency matrix
- pseudo inverse
- principal component analysis
- monitoring and fault diagnosis
- principal components
- outlier detection
- vehicle detection
- anomaly detection
- singular values
- boundary detection
- similarity matrix
- graph laplacian
- machine learning
- spectral clustering
- sample size
- affinity matrix
- symmetric matrix
- computational cost
- moving objects