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Training

Deploy workflow forinference Calculate anomaly scorebased on predictions Predict with trainedmodels One model per channel Preprocessing Output Lags sensor valuesby 30 stepsReturn scoreand stdev tocaller70 : 30Model name Read Sensor Data Lag Table to JSON ContainerOutput (JSON) Deploy Score Calculation Partitioning PolynomialRegression Training RegressionPredictor Container Input(Variable) Scores forSaving in DB Deploy workflow forinference Calculate anomaly scorebased on predictions Predict with trainedmodels One model per channel Preprocessing Output Lags sensor valuesby 30 stepsReturn scoreand stdev tocaller70 : 30Model name Read Sensor Data Lag Table to JSON ContainerOutput (JSON) Deploy Score Calculation Partitioning PolynomialRegression Training RegressionPredictor Container Input(Variable) Scores forSaving in DB

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Extensions

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Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: alexander
Created at: 2022-05-11
On NodePit since: 2022-10-01
Last update: 2024-04-26
Created with KNIME version: v4.5.2

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