Title | ||
---|---|---|
An Integrated Learning and Filtering Approach for Fault Diagnosis of a Class of Nonlinear Dynamical Systems. |
Abstract | ||
---|---|---|
This paper develops an integrated filtering and adaptive approximation-based approach for fault diagnosis of process and sensor faults in a class of continuous-time nonlinear systems with modeling uncertainties and measurement noise. The proposed approach integrates learning with filtering techniques to derive tight detection thresholds, which is accomplished in two ways: 1) by learning the modeli... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/TNNLS.2015.2504418 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Fault diagnosis,Fault detection,Adaptation models,Uncertainty,Noise measurement,Nonlinear systems,Measurement uncertainty | Stuck-at fault,Nonlinear system,Noise measurement,Fault detection and isolation,Computer science,Measurement uncertainty,Filter (signal processing),Input/output,Artificial intelligence,Observer (quantum physics),Machine learning | Journal |
Volume | Issue | ISSN |
28 | 4 | 2162-237X |
Citations | PageRank | References |
8 | 0.46 | 29 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Christodoulos Keliris | 1 | 57 | 3.75 |
Marios Polycarpou | 2 | 2020 | 206.96 |
T Parisini | 3 | 935 | 113.17 |