From condition monitoring to predictive maintenance

Find out more information: bit.ly/SPS-CBM-..., bit.ly/SPS-CBM-...
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.

[@bhanudiehard]

I have recently bought STWIN for testing it and reviewing it. I have come across this GUI application (displaying all the sensor data at once) multiple times on ST's demo presentation videos. But where can I find the application itself?

[@dungnguyenmanh4469]

Excuse me, what is the name of the 3-phase motor in the video?

[@dungnguyenmanh4469]

Excuse me, what is the name of the engine in the system?

[@rajinikanthrajini3247]

Thank you