Open benchmarks for assessment of process monitoring and fault diagnosis techniques: A review and critical analysis
The present paper brings together openly available datasets and simulators for testing of
process monitoring and fault diagnosis techniques. Some general characteristics of these …
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
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 …
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 …
malfunctions is recognized as a key issue in control performance monitoring, as they may …
Multi-fault detection and isolation for lithium-ion battery systems
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 …
the battery. However, early faults are difficult to detect, and false alarms occasionally occur …
[LLIBRE][B] Introduction to diagnosis and fault-tolerant control
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 …
Advertisement SpringerLink Account Menu Find a journal Publish with us Track your research …
[LLIBRE][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 …
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
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 …
technical system to be diagnosed. To handle large differential algebraic models and to …
Sensor placement for fault diagnosis
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 …
requirement specification concerning fault detectability and fault isolability. The method is …
Structural analysis in reconfigurable battery systems for active fault diagnosis
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 …
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
In the conventional graph convolutional network (GCN)-based fault diagnosis method,
multilayer GCN model is often used for feature extraction. However, the application of …
multilayer GCN model is often used for feature extraction. However, the application of …