Validation of Neural Network-based Fault Diagnosis for Multi-stack Fuel Cell Systems: Stack Voltage Deviation Detection☆
Reads0
Chats0
TLDR
An algorithm for the detection of unexpected stack voltage deviations in an Solid Oxide Fuel Cells (SOFC)-based power system with multiple stacks is presented and its validation in a simulated online environment is validated.About:
This article is published in Energy Procedia.The article was published on 2015-12-01 and is currently open access. It has received 19 citations till now. The article focuses on the topics: Stack (abstract data type) & Electric power system.read more
Citations
More filters
Journal ArticleDOI
Solid oxide fuel cell (SOFC) performance evaluation, fault diagnosis and health control: A review
TL;DR: The current status of research on performance evaluation, fault diagnosis, and health control of solid oxide fuel cell systems are presented, and current research gaps as well as future directions are presented.
Journal ArticleDOI
Novel neural network IC-based variable step size fuel cell MPPT controller: Performance, efficiency and lifetime improvement
Abdelghani Harrag,Hamza Bahri +1 more
TL;DR: In this paper, a neural network IC-based variable step size MPPT controller for fuel cell power system is proposed and the efficiency of the proposed neural network MPPT has been successfully studied using a 7kW PEMFC supplying a resistive load via a DC-DC boost converter.
Journal ArticleDOI
How fuzzy logic can improve PEM fuel cell MPPT performances
Abdelghani Harrag,Sabir Messalti +1 more
TL;DR: In this article, a variable step size fuzzy-based MPPT controller is proposed to track the output power of the PEM fuel cell system composed of 7kW fuel cell supplying a 50Ω resistive load via a DC-DC boost converter controlled using the proposed MPPT.
Journal ArticleDOI
A Robust Maximum Power Point Tracking Control Method for a PEM Fuel Cell Power System
TL;DR: In this article, a new MPPT scheme based on a current reference estimator is presented to keep the proton exchange membrane fuel cells (PEMFCs) functioning at an efficient power point.
Journal ArticleDOI
A model-based diagnostic technique to enhance faults isolability in Solid Oxide Fuel Cell systems
TL;DR: In this article, an innovative diagnostic technique able to improve fault isolability in Solid Oxide Fuel Cell (SOFC) energy conversion systems is presented, where isolated system component sub-models, fed with faulty inputs, can be used to solve this issue.
References
More filters
Book
Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner’s Handbook
TL;DR: In this paper, the authors present an approach for detecting models and controllers from data using a multilayer perceptron (MLP) model and a linear model of the control system.
BookDOI
Neural Networks for Modelling and Control of Dynamic Systems
TL;DR: This chapter discusses Neural-Network-based Control, a method for automating the design and execution of nonlinear control systems, and its application to Predictive Control.
Journal ArticleDOI
On the Use of Neural Networks and Statistical Tools for Nonlinear Modeling and On-field Diagnosis of Solid Oxide Fuel Cell Stacks
Marco Sorrentino,Dario Marra,Cesare Pianese,Maurizio Guida,Fabio Postiglione,Kuanquan Wang,Antti Pohjoranta +6 more
TL;DR: In this article, the authors report on the activities performed within the European funded project GENIUS to develop black-box models for modeling and diagnosis of solid oxide fuel cell (SOFC) stacks.
Journal ArticleDOI
Development and Real-Time Implementation of Recurrent Neural Networks for AFR Prediction and Control
Journal ArticleDOI
Dynamic Neural Network Based Very Short-Term Wind Speed Forecasting
TL;DR: The result shows that the proposed model outperforms the BPNN based on the metrics used, and the nonlinear autoregressive model with exogenous inputs (NARX) is proposed for wind speed forecast.