A Survey on Fault Detection and Diagnosis Methods

Fault detection and diagnosis in modern control systems have been of constant interest in recent publications. Its progress is a consequence of the requirements imposed by the development of other technologies through demands on security operations, guarantee of the required functions execution, red...

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Bibliographic Details
Published in2021 14th IEEE International Conference on Industry Applications (INDUSCON) pp. 1422 - 1429
Main Authors Avila Okada, Kenji Fabiano, Silva de Morais, Aniel, Oliveira-Lopes, Luis Claudio, Ribeiro, Laura
Format Conference Proceeding
LanguageEnglish
Published IEEE 15.08.2021
Subjects
data-driven methods
Estimation
Fault detection
Fault diagnosis
Fault tolerant control
hybrid methods
Maintenance engineering
model-based methods
Process control
Sensors
signal analysis-based methods
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Summary:Fault detection and diagnosis in modern control systems have been of constant interest in recent publications. Its progress is a consequence of the requirements imposed by the development of other technologies through demands on security operations, guarantee of the required functions execution, reduction of costs, and optimization of maintenance tasks. In order to provide the survey in this area, the article discriminates the main fault detection and diagnosis techniques, allowing the reader to acquire, in different practice scenarios, an ability to discern the possibilities of applying the methods in focus. The text is divided in signal analysis-based methods, model-based methods, data-driven methods, and hybrids methods. The conclusion exposes the main global limitations in the area as possible subjects for future works.
DOI:10.1109/INDUSCON51756.2021.9529495