Condition Monitoring
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Plug and play IoT kit monitors machine condition

The MICA CISS Industrial IoT Kit, developed in cooperation with Bosch Connected Devices and Solutions and Harting Technology Group, is an IoT solution that is operational within a day and supplies initial data immediately. The kit comprises a CISS (Connected Industrial Sensor Solution) multi-sensor unit by Bosch and the MICA Edge Computing System by Harting. 

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Versatile monitoring for wind turbine rotor bearings

How can typical rolling bearing damage in wind turbines, particularly in wind turbine rotor bearing supports, be identified early and even prevented altogether? Schaeffler has a solution to this complex challenge: a combination of sensors that are capable of monitoring the critical influencing variables for this type of damage

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Control software

Introduced by ifm electronic, LR SMARTOBSERVER is an ‘out-of-the-box’ software product that enables users to condition data acquisition to see what is actually happening at their manufacturing plant – right down to individual sensor level – and then to store that data for analysis later.

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Energy saving in mines and quarries

Smart automation solutions offer energy-saving opportunities for those involved with mines and quarries, as Trevor Herbert, business development manager for Mitsubishi Electric Europe – Automation Systems Division, explains.

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Time to embrace change

When new technology emerges, there’s a distinct split between digital innovators who want to implement it first, and those who prefer tried-and-tested methods, comments electric motor repair specialist, Houghton International.

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Wireless condition monitoring sensor

AVT Reliability has launched the latest in its suite of intelligent condition-based monitoring and maintenance (CBM) products – the wireless Machine Sentry MSF-1 tri-axial vibration and temperature sensor.

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Control software for smart condition and energy monitoring

ifm electronic’s LR Smartobserver is an ‘out-of-the-box’ application software product that enables companies to use data acquisition to see what is happening on their manufacturing plant – down to individual sensor level – and then store data for analysis later.

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