3/13/2019
02:30 PM
Rosaria Silipo
Rosaria Silipo
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IoT Anomaly Detection 101: Data Science to Predict the Unexpected

Yes! You can predict the chance of a mechanical failure or security breach before it happens. Part one of a two-part series.


Anomaly detection problems do not offer a classic training set with labeled examples for classes: a signal from a normally functioning system and a signal from a system with an analogy. In this case, we can only train a machine learning model on a training set with 'normal' examples and use a distance measure between the original signal and the predicted signal to trigger an anomaly alarm.
Anomaly detection problems do not offer a classic training set with labeled examples for classes: a signal from a normally functioning system and a signal from a system with an analogy. In this case, we can only train a machine learning model on a training set with "normal" examples and use a distance measure between the original signal and the predicted signal to trigger an anomaly alarm.

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