Manivannan / Industry 4.0 - PredictiveMaintenance - Fan Public

Test and tune your impulse with realistic data

Clone this project to run performance calibration.

Select and save a config

Your impulse can be configured with a post-processing algorithm that will minimize either false activations or false rejections. The chart shows a range of suggested configs. If you save one, it will be used when your impulse is deployed.
Suggested config Saved config

Selected config

Mean FAR : %
Mean FRR : %
Averaging window duration : ms
Detection threshold :
Suppression period : ms
Performance overview
Shows the performance statistics for each label.
Label FAR FRR True positives False positives True negatives False negatives

Results for selected config

Shows any errors your impulse makes on a sample of data.
Drag waveform to scroll
Error Type Label Start Time