Predictive Maintenance

Press release: optiMEAS and Alpha Diagnostics enter into partnership

optiMEAS and Alpha Diagnostics enter into partnership for advanced machine monitoring Clever together: out-of-the-box machine diagnostics (Friedrichsdorf/Reinach, 25.11.2022) The expert for machine diagnostics Alpha Diagnostics and digitalisation specialist optiMEAS have agreed on a close cooperation. The aim is the advanced condition monitoring of heavy machinery in ships, rail vehicles and industrial applications, in order to improve their operational management and

How IoT measurement technology improves the maintenance of railway components

Optimise rail transport maintenance and service through IoT. The maintenance of rail vehicles is very time-consuming. Especially the overhaul of the bogies requires a longer downtime and causes high costs for the operators of the vehicles. The right sensor technology, combined with a smart edge device, enables the optimisation of maintenance intervals

Monitoring of railway components

Testing railway components in the on-board network. Functional tests and performance measurements under real conditions are indispensable for the development and testing of traction unit components. In the on-board network, a few but sometimes large consumers that are frequently switched on and off cause voltage peaks, high currents and large reactive power components. Added to this are micro-interruptions of the power supply at the current collector

predictive maintenance

Recognising today what will not work tomorrow. The increasing digitalisation of industrial processes also requires adaptation at management level in the form of marketable?

Industrial IoT: Measurement technology moves into the cloud

Industrial IoT ? Measurement technology moves to the cloud Much more than a mailbox What actually is the cloud? The actual cloud concept means providing certain services beyond simple data storage. Cloud technology thus opens up completely new possibilities for metrology, especially for mobile and decentralised measurement.