Open benchmarks for assessment of process monitoring and fault diagnosis techniques: A review and critical analysis

A Melo, MM Câmara, N Clavijo, JC Pinto - Computers & Chemical …, 2022 - Elsevier
The present paper brings together openly available datasets and simulators for testing of
process monitoring and fault diagnosis techniques. Some general characteristics of these …

Graph convolutional network-based method for fault diagnosis using a hybrid of measurement and prior knowledge

Z Chen, J Xu, T Peng, C Yang - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Deep-neural network-based fault diagnosis methods have been widely used according to
the state of the art. However, a few of them consider the prior knowledge of the system of …

Review and comparison of techniques of analysis of valve stiction: From modeling to smart diagnosis

RB di Capaci, C Scali - Chemical Engineering Research and Design, 2018 - Elsevier
The importance of evaluating valve conditions and detecting the onset of possible
malfunctions is recognized as a key issue in control performance monitoring, as they may …

Multi-fault detection and isolation for lithium-ion battery systems

K Zhang, X Hu, Y Liu, X Lin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Various faults in the lithium-ion battery system pose a threat to the performance and safety of
the battery. However, early faults are difficult to detect, and false alarms occasionally occur …

[图书][B] Introduction to diagnosis and fault-tolerant control

M Blanke, M Kinnaert, J Lunze, M Staroswiecki… - 2016 - Springer
Introduction to Diagnosis and Fault-Tolerant Control | SpringerLink Skip to main content
Advertisement SpringerLink Account Menu Find a journal Publish with us Track your research …

[图书][B] Model-based process supervision: a bond graph approach

AK Samantaray, BO Bouamama - 2008 - books.google.com
The series Advances in Industrial Control aims to report and encourage technology transfer
in control engineering. The rapid development of control technology has an impact on all …

An efficient algorithm for finding minimal overconstrained subsystems for model-based diagnosis

M Krysander, J Åslund, M Nyberg - IEEE Transactions on …, 2007 - ieeexplore.ieee.org
In model-based diagnosis, diagnostic system construction is based on a model of the
technical system to be diagnosed. To handle large differential algebraic models and to …

Sensor placement for fault diagnosis

M Krysander, E Frisk - … on Systems, Man, and Cybernetics-Part …, 2008 - ieeexplore.ieee.org
An algorithm is developed for computing which sensors to add to meet a diagnosis
requirement specification concerning fault detectability and fault isolability. The method is …

Structural analysis in reconfigurable battery systems for active fault diagnosis

M Schmid, E Gebauer, C Endisch - IEEE Transactions on Power …, 2021 - ieeexplore.ieee.org
Conventional automotive battery systems consisting of a large number of battery cells pose
a variety of challenges in terms of safety, reliability, lifetime, and energy efficiency …

Oversmoothing relief graph convolutional network-based fault diagnosis method with application to the rectifier of high-speed trains

J Xu, H Ke, Z Chen, X Fan, T Peng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In the conventional graph convolutional network (GCN)-based fault diagnosis method,
multilayer GCN model is often used for feature extraction. However, the application of …