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khundman / telemanom

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Home Page:https://arxiv.org/abs/1802.04431

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Problem about the dataset dimensions

KcAcoZhang opened this issue · comments

commented

Dear Author，

As you said, the data in column（dimension）0 is real telemetry data, so what role does the data from other dimensions play in this project, and do they influence the results（performance）? Can I keep only the 0 th dimension of real telemetry data for my training？

commented

The other dimensions represent one hot-encoded command data, which affects telemetry behavior. We didn't do experiments with only the telemetry channels in the 0th dimension, but it would be interesting to see that comparison.