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Machine tele-monitoring using machine learning for predicting bearing failures

Neural Networks require thousands of training data sequences. Fetching data at a daily rate is slow. We propose to produce lots of realistic and synthetic data stemming from a purpose built test bench and applying novel signal processing techniques. This enables Mechmine to launch new services.

https://www.aramis.admin.ch/Grunddaten/?ProjectID=40390

Category

Innosuisse

Reference number

26177.1 PFIW-IW

Project start

01.07.2017

Project end

01.07.2020

Project duration

3 Years

Status

abgeschlossen

Area

ICAI-OST

Neural Networks require thousands of training data sequences. Fetching data at a daily rate is slow. We propose to produce lots of realistic and synthetic data stemming from a purpose built test bench and applying novel signal processing techniques. This enables Mechmine to launch new services.

https://www.aramis.admin.ch/Grunddaten/?ProjectID=40390

Persons

Prof. Dr.

Guido Schuster

Project manager
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