Pragmatic cyber security in digital automation

  Chris Evans, Marketing & Operations Group Manager, Mitsubishi Electric Europe B.V. Automation Systems Division considers the growing importance of cyber security in manufacturing. A recent report from Trend Micro, says major flaws continue to exist in two of the most popular M2M machine automation protocols. Message Queuing Telemetry Transport (MQTT) and Constrained Application Protocol […]

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Is a poor power factor dragging your profits down?

Many businesses overlook the fact they pay more for electricity depending on how it is used. The how depends on the type of electrical load as some loads have a poor power factor. Most electrical equipment, such as motors, compressors, welding sets, fluorescent and LED lighting create an inductive load on the supply. In most […]

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The role of smart automation devices in IIoT

For years, device makers have improved the performance of their factory automation product to differentiate them from competitors. A modern AC VSD is still a motor speed controller, but with added functionality and intelligence, they have become smart automation devices in the world of IIoT. The speed of industrial business is increasing all the time. […]

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Mitsubishi Electric solutions for smart manufacturing

Technology change tends to be iterative, and manufacturers conservative when adopting new technologies. Few companies risk being early adopters until the technologies prove themselves. Sometimes however, new idea come along that have the potential to make a seismic change. Smart manufacturing is now is one of those times. Whether you call it IIoT, Industry 4.0, […]

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Next generation predictive maintenance gives users the edge

Next generation predictive maintenance. Industry 4.0 will make available vast amounts of data from systems and sensors in a production environment. It empowers companies to control and optimise their industrial processes to unprecedented levels. Next generation predictive maintenance tools will be early contributors. By analysing the data generated it is possible to identify early signs […]

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