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Mechmine News

Loadsensor prototype in field trial

13 October 2017

Algorithms in state-of-the-art condition monitoring systems benefit from additional knowledge such as the load of a machine. This can be obtained through monitoring the machine power consumption or power generation. Mechmine developed a small formfactor sensor to do this.

Mechmine @ ETZ Zurich

05 October 2017

Mechmine was invited to talk about bearing condition monitoring at the “Fertigungstechnisches Kolloquium”, organized jointly by Swissmem, inspire AG and Prof. Konrad Wegener’s Institute of Machine Tools and Manufacturing (IWF), ETH Zurich.

Massive bearing RUL testbench operational!

17 September 2017

Knowing bearings’ Remaining-Useful-Life (RUL) is of great value to machine operators. Mechmine commissioned a high-performance RUL testbench to speed-up their ongoing effort to calibrate their algorithms.

CTI funding granted

18 June 2017

The Swiss federal commission for innovation and technology (CTI) granted funding for a second joint project.

Collecting data under the sky!

12 March 2017

Mechmine is collecting vibration data of gearbox and generator bearings of the largest Swiss wind turbine.

First partner workshop held

02 March 2017

Mechmine held today its first condition monitoring workshop for its partners.

GENILEM support

10 February 2017

In November 2016, the selection committee of GENILEM Zürich Ostschweiz awarded two Coachings to Swiss entrepreneurs, lasting 3 years. One Start-Up company is mechmine llc from Azmoos, Kanton St. Gallen.

Bearing defect identified

11 December 2016

Bearing problems can cause unplanned machine switch-off

Client's web-portal mmViewer goes live!

13 September 2016

Mechmine equipped now more than 100 bearings in various machines for our data gathering pilot trial.

The partners can access the data from their machines and the vibration analysis results in particular through the newly launched wep-portal mmViewer.

mechmine mmViewer loginPortal

84 bearings acquired

23 July 2016

We are pleased to inform that we acquired recently the 84th bearing since October 2015, in various machines for our pilot trial. This growing dataset will enable us to train and validate the algorithms doing bearing defect analysis.