aakr 0.0.1.dev3

Implementation of Auto Associative Kernel Regression (AAKR)

aakr

Python implementation of the Auto-Associative Kernel Regression (AAKR). The algorithm is suitable for signal reconstruction, which further be used for e.g. condition monitoring or anomaly detection.

Installation

pip install aakr

Example usage

Give examples of normal conditions as pandas DataFrame or numpy array.

from aakr import AAKR

aakr = AAKR()
aakr.fit(X_obs_nc)

Predict normal condition for given observations.

X_nc = aakr.predict(X_obs)

References

• A modified Auto Associative Kernel Regression method for robust signal reconstruction in nuclear power plant components

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Jesse Myrberg ([e-mail])