Data-Driven Sensor Fault Diagnosis Based on Nonlinear Additive Models and Local Fault Sensitivity.
Nicholas CartocciFrancesco CrocettiGabriele CostantePaolo ValigiMarcello R. NapolitanoMario Luca FravoliniPublished in: ICAR (2021)
Keyphrases
- fault diagnosis
- data driven
- additive models
- monitoring and fault diagnosis
- fault detection
- neural network
- expert systems
- fault detection and diagnosis
- fuzzy logic
- bp neural network
- operating conditions
- electronic equipment
- multiple faults
- power transformers
- fault detection and isolation
- gas turbine
- analog circuits
- multi sensor information fusion
- condition monitoring
- linear classifiers
- chemical process
- linear models
- fault tree
- tennessee eastman
- reproducing kernel hilbert space
- artificial intelligence
- real time
- rbf neural network
- high dimensional
- decision trees
- linear svm
- variable selection
- feature selection
- steam turbine