Edge Impulse Inc. / Machine Monitoring - Anomaly detection using GMM Public
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Test data

Set confidence thresholds
Model variants
Test 'Unoptimized (float32)' model
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.
Sample name Expected outcome Length Anomaly Accuracy Result
nominal.3frnqrca.s5 nominal 10s 0.55 38 no anomaly, 2 anomaly
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nominal.3frnqrca.s1 nominal 10s 0.58 39 no anomaly, anomaly
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nominal.3frnqrc8.s4 nominal 10s 0.65 37 no anomaly, 3 anomaly
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idle.3fq8huh7.s12 idle 10s 0.44 34 no anomaly, 6 anomaly
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idle.3fq8huh7.s8 idle 10s 0.41 36 no anomaly, 4 anomaly
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anomaly_unknown.3fq2h9gd.s12 anomaly 10s 200.08 100% 40 anomaly
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anomaly_unknown.3fq2h9gd.s11 anomaly 10s 87.21 100% 40 anomaly
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anomaly_unknown.3fq2h9gd.s10 anomaly 10s 103.40 100% 40 anomaly
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anomaly_unknown.3fq2h9gd.s9 anomaly 10s 120.63 100% 40 anomaly
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anomaly_unknown.3fq2h9gd.s8 anomaly 10s 74.07 100% 40 anomaly
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anomaly_unknown.3fq2h9gd.s7 anomaly 10s 250.00 100% 40 anomaly
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anomaly_unknown.3fq2h9gd.s6 anomaly 10s 77.70 100% 40 anomaly
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anomaly_unknown.3fq2h9gd.s5 anomaly 10s 87.73 100% 40 anomaly
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anomaly_unknown.3fq2h9gd.s4 anomaly 10s 376.97 100% 40 anomaly
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anomaly_unknown.3fq2h9gd.s3 anomaly 10s 272.76 100% 40 anomaly
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anomaly_unknown.3fq2h9gd.s2 anomaly 10s 193.23 100% 40 anomaly
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anomaly_unknown.3fq2h9gd.s1 anomaly 10s 303.46 100% 40 anomaly
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nominal.3fppa5mc.s12 anomaly 10s 8.28 100% 40 anomaly
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nominal.3fppa5mc.s11 anomaly 10s 8.45 100% 40 anomaly
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nominal.3fppa5mc.s10 anomaly 10s 7.61 100% 40 anomaly
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nominal.3fppa5mc.s9 anomaly 10s 8.83 100% 40 anomaly
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nominal.3fppa5mc.s8 anomaly 10s 7.78 100% 40 anomaly
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nominal.3fppa5mc.s7 anomaly 10s 13.38 100% 40 anomaly
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nominal.3fppa5mc.s6 anomaly 10s 12.60 100% 40 anomaly
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nominal.3fppa5mc.s5 anomaly 10s 15.43 100% 40 anomaly
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nominal.3fppa5mc.s4 anomaly 10s 13.77 100% 40 anomaly
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nominal.3fppa5mc.s3 anomaly 10s 14.33 100% 40 anomaly
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nominal.3fppa5mc.s2 anomaly 10s 13.57 100% 40 anomaly
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nominal.3fppa5mc.s1 anomaly 10s 14.73 100% 40 anomaly
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nominal.3fpmir13.s10 nominal 10s 0.39 40 no anomaly
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nominal.3fpmir13.s5 nominal 10s 0.38 40 no anomaly
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nominal.3fpmir13.s2 nominal 10s 0.39 39 no anomaly, anomaly
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nominal.3fpmir13.s1 nominal 10s 0.34 40 no anomaly
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idle.3fplhtdm.s10 idle 10s 0.44 35 no anomaly, 5 anomaly
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idle.3fplhtdm.s7 idle 10s 0.55 33 no anomaly, 7 anomaly
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nominal.3fplvb9l.s9 nominal 10s 0.47 38 no anomaly, 2 anomaly
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nominal.3fplvb9l.s4 nominal 10s 0.47 39 no anomaly, anomaly
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nominal.3fplp0ue.s9 nominal 10s 0.62 36 no anomaly, 4 anomaly
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nominal.3fplp0ue.s4 nominal 10s 0.68 36 no anomaly, 4 anomaly
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nominal.3fpm4543.s12 anomaly 10s 189.75 100% 40 anomaly
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nominal.3fpm4543.s11 anomaly 10s 189.67 100% 40 anomaly
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nominal.3fpm4543.s10 anomaly 10s 190.72 100% 40 anomaly
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nominal.3fpm4543.s9 anomaly 10s 190.03 100% 40 anomaly
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nominal.3fpm4543.s8 anomaly 10s 189.80 100% 40 anomaly
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nominal.3fpm4543.s7 anomaly 10s 188.87 100% 40 anomaly
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nominal.3fpm4543.s6 anomaly 10s 188.37 100% 40 anomaly
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nominal.3fpm4543.s5 anomaly 10s 188.76 100% 40 anomaly
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nominal.3fpm4543.s4 anomaly 10s 189.03 100% 40 anomaly
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nominal.3fpm4543.s3 anomaly 10s 190.10 100% 40 anomaly
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nominal.3fpm4543.s2 anomaly 10s 191.06 100% 40 anomaly
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nominal.3fpm4543.s1 anomaly 10s 190.98 100% 40 anomaly
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idle.3fplaodf.s9 idle 10s 0.20 39 no anomaly, anomaly
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idle.3fplaodf.s3 idle 10s 0.19 40 no anomaly
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idle.3fpl491s.s11 idle 10s 0.19 40 no anomaly
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idle.3fpl491s.s5 idle 10s 0.20 40 no anomaly
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idle.3fpl491s.s1 idle 10s 0.18 40 no anomaly
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idle.3fpkvqj0.s10 idle 10s 2.50 39 anomaly, no anomaly
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idle.3fpkvqj0.s3 idle 10s 2.41 40 anomaly
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Model testing output

Results

Model version:
Accuracy
100.00%

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