47515.1 IP-ENG

Résumé

Scalable Predictive Maintenance with AI

Textes supplémentaires

Abstract

The project aims to provide a predictive maintenance (PdM) toolkit based on AI. It is a unique hybrid approach combining modeling and learning from data that minimizes the number of sensors in use for better reliability and operates well on wide-spread scenarios with sparse data.

Participants

Hans Wernher van de Venn

Kontaktperson

vhns@zhaw.ch

ZHAW School of Engineering Institut für Mechatronische Systeme Hans Wernher van de Venn Postfach / Technikumstrasse 5 8400 Winterthur ZH CH

Ernst Schranz

Wirtschaftspartner

ernst.schranz@gritec.ch

Gritec AG Ernst Schranz Trutwisstrasse 9 7214 Grüsch GR CH

Détails du projet

Office de recherche: INNOSUISSE
Statut du projet: In Bearbeitung
Type de projet: Forschungsprojekt
Date de début: 2021-03-31
Date de fin: 2023-03-31
Coûts totaux approuvés: CHF 574486.00
Section: 70 Engineering
Domaine politique NABS: Industrielle Produktivität und Technologie

Disciplines de recherche

T120 Systems engineering, computer technology 100.0%