ENBIS-17 in Naples
9 – 14 September 2017; Naples (Italy)
Abstract submission: 21 November 2016 – 10 May 2017
Predictive Maintenance of Smartmeter's Concentrators
12 September 2017, 09:00 – 09:20
- Submitted by
- Jairo Cugliari
- Jairo Cugliari (Université de Lyon), Stephane Bonneway (Université de Lyon), Pierre Achaicha (Université de Lyon)
- Smart meters on electric systems allows a distant configuration and monitoring of the client needs through communication between the units and a supervisor. Predictive maintenance is a key element to ensure the appropriate functioning of the whole system.
Other than the data registered from the client electricity consumption, the meters send different kinds of logs and events. We use events data from a early testing phase of smartmeters to construct a predictive model.
Our approach uses the event data as time series or more generally functional data. Using wavelets we extract handy features from sets of events. Then, a random forest classifier is used to predict the health status of meters’ concentrators from the constructed features.
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