I-STEP – A Case Study: Machine Learning powered Condition Monitoring of a Linear Motion Industrial Vibrating Screen
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Authors
Organisational units
Abstract
Vibrating Screens, crucial in mineral and waste processing industries, usually lack adequate condition monitoring to assess condition states or predict machine errors. Addressing this issue, IFE Aufbereitungstechnik GmbH and its partners are developing "i-STEP," a digitalization solution potentially integrating any market-available sensor for a customizable, plant-wide monitoring platform. Thus far, a vibration sensor, "SES" has been developed to specifically measure oscillation patterns of vibrating screens, which is the main focus of this research.
Details
Original language | English |
---|---|
Title of host publication | VORTRÄGE-Konferenzband |
Subtitle of host publication | zur 17. Recy & DepoTech-Konferenz |
Place of Publication | Leoben |
Pages | 529-534 |
Number of pages | 6 |
Publication status | Published - 13 Nov 2024 |
Event | Recy & Depotech 2024: Abfallwirtschafts- und Recyclingkonferenz - Montanuniversität Leoben, Leoben, Austria Duration: 13 Nov 2024 → 15 Nov 2024 https://www.recydepotech.at https://www.recydepotech.at/de/1/ |
Conference
Conference | Recy & Depotech 2024 |
---|---|
Country/Territory | Austria |
City | Leoben |
Period | 13/11/24 → 15/11/24 |
Internet address |