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

[Discussion]

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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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.