Bridging data-driven and model-based approaches for process fault diagnosis and health monitoring: A review of researches and future challenges

K Tidriri, N Chatti, S Verron, T Tiplica - Annual Reviews in Control, 2016 - Elsevier
Abstract Fault Diagnosis and Health Monitoring (FD-HM) for modern control systems have
been an active area of research over the last few years. Model-based FD-HM computational …

[图书][B] From prognostics and health systems management to predictive maintenance 1: Monitoring and prognostics

R Gouriveau, K Medjaher, N Zerhouni - 2016 - books.google.com
This book addresses the steps needed to monitor health assessment systems and the
anticipation of their failures: choice and location of sensors, data acquisition and processing …

Graphical methods for diagnosis of dynamic systems

BO Bouamama, G Biswas, R Loureiro… - Annual reviews in …, 2014 - Elsevier
This paper presents an overview of graphical methods used for robust Fault Detection and
Isolation (FDI) that can be employed for monitorability and diagnosability analysis and/or …

A modified Bayesian network to handle cyclic loops in root cause diagnosis of process faults in the chemical process industry

P Kumari, B Bhadriraju, Q Wang, JSI Kwon - Journal of Process Control, 2022 - Elsevier
In chemical processes, root cause diagnosis of process faults is highly crucial for efficient
troubleshooting, since if poorly managed, process faults can lead to high-consequence rare …

On the adequacy of chemiluminescence as a measure for heat release in turbulent flames with mixture gradients

M Lauer, T Sattelmayer - 2010 - asmedigitalcollection.asme.org
The determination of the heat release in technical flames is commonly done via bandpass
filtered chemiluminescence measurements in the wavelength range of OH∗ or CH∗ …

[HTML][HTML] Generic dynamical model of PEM electrolyser under intermittent sources

S Sood, O Prakash, M Boukerdja, JY Dieulot… - Energies, 2020 - mdpi.com
Proton Exchange Membrane (PEM) water electrolysis system is one of the promising
technologies to produce green hydrogen from renewable energy sources (wind and solar) …

Fully unsupervised fault detection and identification based on recursive density estimation and self-evolving cloud-based classifier

BSJ Costa, PP Angelov, LA Guedes - Neurocomputing, 2015 - Elsevier
In this paper, we propose a two-stage algorithm for real-time fault detection and identification
of industrial plants. Our proposal is based on the analysis of selected features using …

Particle filter based hybrid prognostics of proton exchange membrane fuel cell in bond graph framework

MS Jha, M Bressel, B Ould-Bouamama… - Computers & Chemical …, 2016 - Elsevier
This paper presents a holistic solution towards prognostics of industrial Proton Exchange
Membrane Fuel Cell. It involves an efficient multi-energetic model suited for diagnostics and …

Fault detection isolation and estimation in a vehicle steering system

SA Arogeti, D Wang, CB Low… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Recently, a bond-graph-based fault detection and isolation (FDI) framework has been
developed with a new concept of global analytical redundancy relations (GARRs)(Low …

Evaluation of antilock braking system with an integrated model of full vehicle system dynamics

TK Bera, K Bhattacharya, AK Samantaray - Simulation Modelling Practice …, 2011 - Elsevier
Antilock braking system (ABS), traction control system, etc. are used in modern automobiles
for enhanced safety and reliability. Autonomous ABS system can take over the traction …