Difference between revisions of "Predictive Maintenance"

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{{Disclaimer}}
 
{{Disclaimer}}
''This page is about the applications of machine learning (ML) in the context of predictive maintenance. For an overview of predictive maintenance more generally, please see the [https://en.wikipedia.org/wiki/Predictive_maintenance Wikipedia page] on this topic.''
 
   
 
Quickly detecting power system faults can help reduce power system waste or improve the utilization of low-carbon energy resources. ML can help detect faults in real time from sensor data, or even forecast them ahead of time to enable preemptive maintenance.
 
Quickly detecting power system faults can help reduce power system waste or improve the utilization of low-carbon energy resources. ML can help detect faults in real time from sensor data, or even forecast them ahead of time to enable preemptive maintenance.

Revision as of 21:31, 6 December 2020

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This page is part of the Climate Change AI Wiki, which aims provide resources at the intersection of climate change and machine learning.

Quickly detecting power system faults can help reduce power system waste or improve the utilization of low-carbon energy resources. ML can help detect faults in real time from sensor data, or even forecast them ahead of time to enable preemptive maintenance.

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