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Mechmine News

Mechmine at the IFAT trade fair in Munich!

10 April 2024

Munich is not only home to wheatbeer and pork-knuckles, but also the world's leading trade fair for water, sewage, waste and raw materials management. A visit is all the more worthwhile!

Mechmine and Yazzoom cooperate

25 May 2023

Mechmine and Yazzoom announced that they have entered into a partnership agreement to offer together a broad portfolio of advanced predictive maintenance solutions to the market. The combined offer of Mechmine and Yazzoom is suited for a broader range of predictive maintenance challenges.

Imbalance-Alignment-Looseness Tool

27 February 2023

Machine errors like imbalance, misalignment or looseness account for the majority of issues in rotating machines. Therefore, their fully automated identification is of high relevance and...

MQTT support for IoT sensors

01 November 2022

MQTT is an Internet-of-Things (IoT) messaging standard easing integration of cost effective or small sensors for machine monitoring. Thus it has found wide adoption [mqtt].

Mechmine IEPEMULATOR

26 October 2022

The widely deployed and popular 2-wire 2-20 mA IEPE standard for acceleration piezo-based sensors complicates cable or system testing in the field but equally in the (R&D) lab. Many field engineers build their own hand-made test device...

Mechmine white-label service

24 October 2022

Mechmine is known for its trending graphs which track the state of gear and bearing defects and machine health.

Mechmine at the Hannover industry trade show 2022

23 May 2022

Visit Mechmine in hall 5 on booth D48. We look forward meeting you!

Mechmine in the German news

19 May 2022

This May, Mechmine is twice present in scientific journals concerned with renewable energy and hydro-power.

Mechmine in the News!

17 December 2021

BILANZ, the number one Swiss business journal, presents a portrait of mechmine from page 50.

New mmBox applications thanks to UPS

15 October 2021

Sometimes, the mains power supply of an advanced machine monitoring kit is unreliable, but the time from when a machine is being powered off to its complete standstill can be invaluable for machine diagnosis!