Artikel in Tagungsband INPROC-2020-31

Bibliograph.
Daten
Wilhelm, Yannick; Reimann, Peter; Gauchel, Wolfgang; Mitschang, Bernhard: Overview on Hybrid Approaches to Fault Detection and Diagnosis: Combining Data-driven, Physics-based and Knowledge-based Models.
In: Procedia CIRP: Proceedings of the 14th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME).
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
englisch.
Elsevier BV, Juli 2020.
Artikel in Tagungsband (Konferenz-Beitrag).
CR-Klassif.H.2.8 (Database Applications)
I.2.1 (Applications and Expert Systems)
KeywordsFault Detection; Fault Diagnosis; Hybrid Methods; Diagnostics and Maintenance; Knowledge-driven Methods; Machine Learning
Kurzfassung

In this paper, we review hybrid approaches for fault detection and fault diagnosis (FDD) that combine data-driven analysis with physics-based and knowledge-based models to overcome a lack of data and to increase the FDD accuracy. We categorize these hybrid approaches according to the steps of an extended common workflow for FDD. This gives practitioners indications of which kind of hybrid FDD approach they can use in their application.

Abteilung(en)Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Anwendersoftware
Projekt(e)GSaME-NFG
Eingabedatum23. Juni 2020
   Publ. Institut   Publ. Informatik