From condition monitoring to predictive maintenance

Описание к видео From condition monitoring to predictive maintenance

Find out more information: http://bit.ly/SPS-CBM-FOR-FACTORIES, http://bit.ly/SPS-CBM-SOLUTIONS

Condition-based Monitoring (CbM) and Predictive Maintenance (PM) are two maintenance strategies which aim at optimizing equipment efficiency and reducing service timing and costs during equipment life cycle.

Condition Monitoring (CM) is the monitoring of several parameters such as equipment vibration and temperature to identify potential issues such as misalignments or bearing failures.

Predictive Maintenance is based on Condition Monitoring, abnormality detection and classification algorithms, and integrates predictive models which can estimate the remaining machine runtime left, according to detected abnormalities.

Condition Monitoring and Predictive Maintenance are value-added yet challenging applications in Industry 4.0. ST has therefore deployed advanced ICs and an ecosystem of evaluation tools, software, documentation and online dashboards for remote monitoring, which are continuously updated to be in keeping with industrial needs.

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