Vorlesung: Condition Monitoring of Structures, Machines and Processes - Details

Vorlesung: Condition Monitoring of Structures, Machines and Processes - Details

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Veranstaltungsname Vorlesung: Condition Monitoring of Structures, Machines and Processes
Veranstaltungsnummer MRM-0147
Semester SS 2025
Aktuelle Anzahl der Teilnehmenden 9
Heimat-Einrichtung Mechanical Engineering
Veranstaltungstyp Vorlesung in der Kategorie Lehre
Nächster Termin Montag, 28.04.2025 12:15 - 13:45, Ort: (L-2040)
Voraussetzungen Empfohlen:
Modul WIW-9844: Grundlagen der Programmierung
Modul MRM-1008: Ingenieurwissenschaften IV
Leistungsnachweis Schriftlich-Mündliche Prüfung / Prüfungsdauer: 60 Minuten, benotet
Veranstaltung findet in Präsenz statt / hat Präsenz-Bestandteile Ja
Hauptunterrichtssprache englisch
Literaturhinweise • Sause, M. G. R., & Jasiuniene, E. (Eds.). (2021). Structural Health Monitoring Damage Detection Systems
for Aerospace. Springer International Publishing. https://doi.org/10.1007/978-3-030-72192-3
• Handbook of Multisensor Data Fusion. (2017). In M. Liggins II, D. Hall, & J. Llinas (Eds.), Handbook of
Multisensor Data Fusion. CRC Press. https://doi.org/10.1201/9781420053098
• Mitchell, H. B. (2012). Data Fusion: Concepts and Ideas. Springer Berlin Heidelberg. https://
doi.org/10.1007/978-3-642-27222-6
• Bishop, C. M. (1995). Neural networks for pattern recognition. Clarendon Press; Oxford University Press.
• Mukhopadhyay, S. C., & Huang, R. Y. M. (Eds.). (2008). Sensors (Vol. 21). Springer Berlin Heidelberg.
https://doi.org/10.1007/978-3-540-69033-7
ECTS-Punkte 6

Räume und Zeiten

(L-2040)
Montag: 12:15 - 13:45, wöchentlich (12x)
(W-1024)
Dienstag: 17:30 - 19:00, wöchentlich (12x)

Modulzuordnungen

Kommentar/Beschreibung

The following contents will be presented:
• Basic concepts and problems of condition monitoring
• Measurement technology and sensors
• Introduction to different sensor types
• Data processing of differently structured sensor data
• Methods for filtering and reducing large amounts of data
• Basics of artificial intelligence for condition monitoring
• Application in Structural Health Monitoring
• Application for Quality Management & Predictive Quality
• Application for Predictive Maintenance
• Industrial application examples

The students will:
• learn basic concepts for sensor-based condition monitoring of structures as well as industrial machines, plants and processes
• learn skills for the application of sensor systems on the basis of realistic problems
• learn the necessary programming skills and methods for evaluating sensor data from monitoring systems
• be able to independently plan tasks in the area of condition monitoring and implement solutions