Sensor Fault Diagnosis Using a Machine Fuzzy Lyapunov-Based Computed Ratio Algorithm

Sensor Fault Diagnosis Using a Machine Fuzzy Lyapunov-Based Computed Ratio Algorithm

Show other versions (1)

Anomaly identification for internal combustion engine (ICE) sensors has become an important research area in recent years. In this work, a proposed indirect fuzzy Lyapunov-based computed ratio observer integrated with a support vector machine (SVM) was designed for sensor fault classification. The p...

Full description

Bibliographic Details
Main Authors: Koo, I. (Author), Tayebihaghighi, S. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Autoregressive methods
Combustion
computed ratio observer
Computed ratio observer
Fuels
fuzzy approach
Fuzzy approach
Gaussian autoregressive method
Gaussians
internal combustion engine
Internal combustion engines
Lyapunov robust method
Robust methods
Root Mean Square
sensor anomaly detection
Sensor anomaly detection
support vector machine
Support vector machines
Support vectors machine
Tuning
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items