Latest Features from DPA

The understanding of reliability

The understanding of reliability

Back in November 2018, my comment page (Paige’s page) asked the questions: ‘Can a robot do that? Should a robot do that?’ Quite simply, I’d seen that a team of SEAT engineers were tasked with reproducing the action of getting in and out of a car to test the resistance of its seats. Surely this was a task that could be easily automated and it made me wonder why SEAT have chosen to do it this way.

Data capture solution for the Advanced Manufacturing Research Centre

Data capture solution for the Advanced Manufacturing Research Centre

Argenta has delivered a paperless shop floor management solution to the University of Sheffield's Advanced Manufacturing Research Centre (AMRC). The solution used Argenta's expertise in implementing LabVIEW for data capture and in developing bespoke software.

WEG collaborates with Mafresa to make cold production energy savings

WEG collaborates with Mafresa to make cold production energy savings

Mafresa, one of the largest producers of Iberian pork products in Extremadura (Spain), has placed its trust in the efficient WEG W22 Magnet IE4 and CFW11 variable speed drive solutions to expand its refrigeration facilities. The annual savings in cold production energy costs for the Iberian pork producer are estimated at around €27,000.

Advanced precision motors empower the IoT and Industry 4.0

Advanced precision motors empower the IoT and Industry 4.0

This is an exciting time for the electronic design industry as embedded electronic functionality spreads into every facet of modern society. The disruptive growth of the Internet of Things (IoT) and next-generation smart manufacturing (Industry 4.0) is placing demands on designers to develop motion-enabled solutions that are powerful, small, precise and efficient.

Predictive maintenance of rail traction motors

Predictive maintenance of rail traction motors

Ian Pledger, Service Engineer at Schaeffler UK, describes the results of a series of studies involving depot-based condition monitoring of railway traction motors using underfloor wheel lathes. These studies have proved that simple vibration-based parameters are often sufficient in providing very reliable indications of motor condition.

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