Fault Localization Upon Non-Supervised Neural Networks and Unknown Input Observers for Bounded Faults

doi 10.5772/13484
Full Text
Abstract

Available in full text

Date
Authors
Publisher

InTech

Related search

Fault Tolerant Control of Wind Turbines Using Unknown Input Observers

IFAC Proceedings Volumes
2012English

Passivity and Unknown Input Observers for Nonlinear Systems

IFAC Proceedings Volumes
2002English

Design Procedure for Linear Unknown Input Functional Observers

IEEE Transactions on Automatic Control
ControlSystems EngineeringComputer Science ApplicationsElectricalElectronic Engineering
2020English

Robust Fault Detection of Linear Uncertain Time-Delay Systems Using Unknown Input Observers

Journal of Applied Mathematics
Applied Mathematics
2013English

Induction Machine Faults Detection and Localization by Neural Networks Methods

Revue d'Intelligence Artificielle
Artificial IntelligenceSoftware
2019English

Performances of Unknown Input Observers for Chaotic LPV Maps in a Stochastic Context

Nonlinear Dynamics
ControlSystems EngineeringMechanical EngineeringElectronic EngineeringApplied MathematicsElectricalOcean EngineeringAerospace Engineering
2006English

Differential Neural Networks Observers: Development, Stability Analysis and Implementation

2008English

Wavelet Analysis and Neural Networks for Bearing Fault Diagnosis

2012English

An Efficient Supervised Training Algorithm for Multilayer Spiking Neural Networks

PLoS ONE
Multidisciplinary
2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy