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Description:
aakr 0.0.1a0
aakr (Auto Associative Kernel Regression)
aakr is a Python implementation of the Auto-Associative Kernel Regression (AAKR). The algorithm is suitable for signal reconstruction, which can further be used for condition monitoring, anomaly detection etc.
Documentation is available at https://aakr.readthedocs.io.
Installation
pip install aakr
Quickstart
Given historical normal condition X_nc examples and new observations X_obs of size n_samples x n_features, what values we expect to see in normal conditions for the new observations?
from aakr import AAKR
# Create AAKR model
aakr = AAKR()
# Fit the model with normal condition examples
aakr.fit(X_nc)
# Ask for values expected to be seen in normal conditions
X_obs_nc = aakr.transform(X_obs)
References
Assessment of Statistical and Classification Models For Monitoring EDF’s Assets
A modified Auto Associative Kernel Regression method for robust signal reconstruction in nuclear power plant components
Jesse Myrberg ([email protected])
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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