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[Discussion] TimeSeries Prediction – Fault occurrence based on multiple features


The data set is time series with 1 min frequency for the last four years. There are 40 features associated with the asset. Then there is a target which has a 0 when there is no fault and 1 when there is fault.

having this data, currently I have approached it in this way.

  1. I have set the column 0 as index and set the type as date-time.
  2. If the 39 features had any empty values in-between, I interpolated linearly for now to get the values assigned to them

Now when I browse online, I only see people picking one column and doing time series analysis to identify anomaly, in my case, I want to use the features in time sequence and then identify if the asset will fail or not in the future anytime/ any date.

Can someone help me understand what approach I need to take for this kind of a problem and also provide some sample for me to learn from.

submitted by /u/vigg_1991
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