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

M Blanke, M Kinnaert, J Lunze, M Staroswiecki… - 2016 - Springer
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Active model-based fault diagnosis in reconfigurable battery systems

M Schmid, E Gebauer, C Hanzl… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the increasing demand for electric vehicles, the interest in battery systems is growing. In
order to enable safe operation of these complex energy storage systems, methods of fault …

[HTML][HTML] A review of research on diagnosability of control systems based on structural analysis

X Gu, X Shi - Applied Sciences, 2023 - mdpi.com
Structural analysis, a model-based fault diagnosis approach, has been extensively
highlighted since it does not depend on an exact analytical system model. The structural …

A combined data-driven and model-based residual selection algorithm for fault detection and isolation

D Jung, C Sundström - IEEE Transactions on Control Systems …, 2017 - ieeexplore.ieee.org
Selecting residual generators for detecting and isolating faults in a system is an important
step when designing model-based diagnosis systems. However, finding a suitable set of …

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 …

[HTML][HTML] State space neural networks and model-decomposition methods for fault diagnosis of complex industrial systems

B Pulido, JM Zamarreño, A Merino, A Bregon - Engineering Applications of …, 2019 - Elsevier
Reliable and timely fault detection and isolation are necessary tasks to guarantee
continuous performance in complex industrial systems, avoiding failure propagation in the …

[KIRJA][B] Fault diagnosis of dynamic systems

T Escobet, A Bregon, B Pulido, V Puig - 2019 - Springer
Nowadays, physical and software systems, designed and built through engineering
processes, are everywhere: our home and our office are full of electronic devices, our …

[HTML][HTML] Integrating PCA and structural model decomposition to improve fault monitoring and diagnosis with varying operation points

D Garcia-Alvarez, A Bregon, B Pulido… - … Applications of Artificial …, 2023 - Elsevier
Fast and efficient fault monitoring and diagnostics methods are essential for fault diagnosis
and prognosis tasks in Health Monitoring Systems. These tasks are even more complicated …

Bridging control and artificial intelligence theories for diagnosis: A survey

L Travé-Massuyès - Engineering Applications of Artificial Intelligence, 2014 - Elsevier
Diagnosis is the process of identifying or determining the nature and root cause of a failure,
problem, or disease from the symptoms resulting from selected measurements, checks or …

[HTML][HTML] Critical observations in model-based diagnosis

CJ Christopher, A Grastien - Artificial Intelligence, 2024 - Elsevier
In this paper, we address the problem of finding the part of the observations that is useful for
the diagnosis. We define a sub-observation as an abstraction of the observations. We then …