In:
at - Automatisierungstechnik, Walter de Gruyter GmbH, Vol. 69, No. 6 ( 2021-06-25), p. 538-549
Abstract:
The European X-ray Free Electron Laser (EuXFEL) is a complex system with many interconnected components and sensor measurements. We use factor graphs to systematically design a probabilistic fault diagnosis method for its cavity system. This approach is expandable to further subsystems and considers uncertainties from measurements and modeling. After representing a model of the cavity system in the factor graph framework, we infer marginal distributions, e. g., of the fault classes using tabulated message-passing definitions. The emerging fault diagnosis method consists of an unscented Kalman filter-based residual generator and an evaluation of the residuals using a Gaussian mixture model. We include message-passing definitions for the training of the Gaussian Mixture Model from noisy data using the expectation-maximization algorithm.
Type of Medium:
Online Resource
ISSN:
2196-677X
,
0178-2312
DOI:
10.1515/auto-2020-0064
Language:
English
Publisher:
Walter de Gruyter GmbH
Publication Date:
2021
detail.hit.zdb_id:
629186-7
detail.hit.zdb_id:
2027287-X
SSG:
15,3
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