Tag Archives: predictive maintenance

Predictive maintenance of rail traction motors using depot-based vibration monitoring on underfloor wheel lathes

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. Schaeffler has more than …

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Machine Tool 4.0 – turning vision into reality

As a global automotive and industrial supplier, Schaeffler is digitally transforming its entire business, which involves the integration of its mechatronics components, systems and machines into the rapidly expanding world of the ‘Internet of Things’. Through its Machine Tool 4.0 project, Schaeffler wants to demonstrate that Industry 4.0 is not …

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Early warning algorithms automatically identify the first signs of machine failure

Senseye is rolling out new Trend Recognition algorithms capable of automatically identifying machine problems at an earlier stage than was previously possible. Senseye’s new Automatic Trend Recognition algorithms use Artificial Intelligence (A.I.) to monitor very gradual changes in the condition of industrial machinery. The algorithms analyse basic diagnostics data from …

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