[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.
- I have set the column 0 as index and set the type as date-time.
- 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.