• Skip navigation
  • Skip to navigation
  • Skip to the bottom
Simulate organization breadcrumb open Simulate organization breadcrumb close
Friedrich-Alexander-Universität Chair of Digital Industrial Service Systems WISO
  • FAUTo the central FAU website
  1. Friedrich-Alexander-Universität
  2. Fachbereich Wirtschafts- und Sozialwissenschaften
Suche öffnen
    • Process Mining Software Comparison
    1. Friedrich-Alexander-Universität
    2. Fachbereich Wirtschafts- und Sozialwissenschaften
    Friedrich-Alexander-Universität Chair of Digital Industrial Service Systems WISO
    Navigation Navigation close
    • Home
    • Teaching
    • Research
    • Practice
    • Team
    • How To Find Us
    • Open Positions
    1. Home
    2. Research
    3. Business Process Management
    4. Deep Learning im Kontext von Predictive Maintenance

    Deep Learning im Kontext von Predictive Maintenance

    In page navigation: Research
    • Service Systems
    • Decision Support
    • Information Management
    • Business Process Management
      • Identifikation von Automatisierungspotentialen mit Process Mining (IdAP)
      • Artificial-Intelligence to Reveal Potentials for Semi-Process-Automation
      • Building Bridges - Reinforcement Learning on Molecular and Process Graphs
      • Analyse von Positonsdaten zur Ermittlung von Durchlaufzeiten in der Fertigung
      • Bayessche Vorhersagemodelle auf Basis von Kontextinformationen für das Monitoring von Geschäftsprozessen
      • Initiation of Bilateral Cooperation with Brazil - Evaluating Standards for Interorganizational Process Integration in Brazilian-German Value Networks
      • Multidimensionales Conformance Checking für Prozesse
      • Propelling Business Process Management by Research and Innovation Staff Exchange
      • Deep Learning im Kontext von Predictive Maintenance
      • Joint German-Russian Innovation Forum "Promoting business process management excellence in Russia" (PropelleR 2012)
    • Further research (Chair of Digital Industrial Service Systems)

    Deep Learning im Kontext von Predictive Maintenance

    Deep Learning im Kontext von Predictive Maintenance

    (Third Party Funds Group – Sub project)

    Overall project: Software Campus 2.0
    Project leader: Sandra Zilker
    Start date: 1. January 2020
    End date: 31. December 2021
    Acronym: DeLePred
    Funding source: Bundesministerium für Bildung und Forschung (BMBF)

    External Partners:

    • TRUMPF Laser- und Systemtechnik GmbH

    Publications:

    • Zilker S., Marx E., Stierle M., Matzner M.:
      Process Mining for Advanced Service Analytics – From Process Efficiency to Customer Encounter and Experience
      Hawaii International Conference on System Sciences (Maui, Hawaii, 4. January 2022 - 7. January 2022)
      In: Proceedings of the 55th Hawaii International Conference on System Sciences 2022
      DOI: 10.24251/HICSS.2022.239
      URL: http://hdl.handle.net/10125/79571
    • Zilker S.:
      Designing a Method for Resource-specific Next Activity Prediction
      Pacific Asia Conference on Information Systems (PACIS) (Taipei - Sydney // Virtual, 5. July 2022 - 9. July 2022)
      In: Proceedings of the 25th Pacific Asia Conference on Information Systems 2022
    FAU Erlangen-Nürnberg
    Chair of Digital Industrial Service Systems

    Fürther Str. 248
    90429 Nürnberg
    • Login
    • Imprint
    • Privacy
    • Accessibility
    • Facebook
    • Twitter
    • Instagram
    Up