Shebin Jose Jacob / Predictive Maintenance With Sound Public
Target: Cortex-M4F 80MHz Clone this project

Test data

Set confidence thresholds
Model variants
Test 'Unoptimized (float32)' model Test 'Quantized (int8)' model
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.
Sample name Expected outcome Length Accuracy Result
testing.3jkqclsn testing 4s 19 Anomaly 1, 9 Noise, 2 uncertain, 1 OK
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testing.3jkq64v6 testing 4s 19 Anomaly 2, 6 Noise, 6 uncertain
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testing.3jkp66dg testing 4s 25 OK, 6 Noise
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OK.3jj9i4ge.s7 OK 2s 0% 5 uncertain, 4 Anomaly 1, 2 Anomaly 2
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OK.3jj9i4ge.s6 OK 2s 55% 6 OK, 4 uncertain, 1 Anomaly 2
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OK.3jj9i4ge.s5 OK 2s 100% 11 OK
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OK.3jj9i4ge.s4 OK 2s 100% 11 OK
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OK.3jj9i4ge.s3 OK 2s 100% 11 OK
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OK.3jj9i4ge.s2 OK 2s 100% 11 OK
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OK.3jj9i4ge.s1 OK 2s 100% 11 OK
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OK.3jj9jepe.s7 OK 2s 100% 11 OK
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OK.3jj9jepe.s6 OK 2s 100% 11 OK
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OK.3jj9jepe.s5 OK 2s 100% 11 OK
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OK.3jj9jepe.s4 OK 2s 100% 11 OK
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OK.3jj9jepe.s3 OK 2s 100% 11 OK
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OK.3jj9lug0.s1 OK 2s 100% 11 OK
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OK.3jj9re48.s2 OK 2s 100% 11 OK
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OK.3jj9skpt.s4 OK 2s 0% 7 Anomaly 2, 4 uncertain
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Anomaly 1.3jja1msg.s6 Anomaly 1 2s 100% 11 Anomaly 1
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Anomaly 1.3jja1msg.s1 Anomaly 1 2s 100% 11 Anomaly 1
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Anomaly 1.3jja2sr1.s2 Anomaly 1 2s 100% 11 Anomaly 1
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Anomaly 1.3jja3uvl.s3 Anomaly 1 2s 100% 11 Anomaly 1
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Anomaly 1.3jja535h.s5 Anomaly 1 2s 100% 11 Anomaly 1
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Anomaly 1.3jja69pe.s7 Anomaly 1 2s 100% 11 Anomaly 1
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Anomaly 1.3jja69pe.s2 Anomaly 1 2s 100% 11 Anomaly 1
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Anomaly 1.3jja7hba.s6 Anomaly 1 2s 100% 11 Anomaly 1
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Anomaly 1.3jja7hba.s1 Anomaly 1 2s 100% 11 Anomaly 1
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Anomaly 1.3jja8m5v.s3 Anomaly 1 2s 100% 11 Anomaly 1
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Anomaly 1.3jja9nrv.s5 Anomaly 1 2s 100% 11 Anomaly 1
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Anomaly 1.3jjaar1o.s6 Anomaly 1 2s 100% 11 Anomaly 1
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Anomaly 1.3jjaar1o.s1 Anomaly 1 2s 91% 10 Anomaly 1, 1 uncertain
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Anomaly 1.3jjaburp.s5 Anomaly 1 2s 100% 11 Anomaly 1
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Noise.3jjadbhn.s4 Noise 2s 100% 11 Noise
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Noise.3jjaefad.s4 Noise 2s 100% 11 Noise
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Noise.3jjafgpu.s8 Noise 2s 100% 11 Noise
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Noise.3jjafgpu.s3 Noise 2s 100% 11 Noise
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Noise.3jjahmic.s6 Noise 2s 100% 11 Noise
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Noise.3jjahmic.s1 Noise 2s 100% 11 Noise
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Noise.3jjaipin.s5 Noise 2s 100% 11 Noise
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Noise.3jjak06b.s8 Noise 2s 100% 11 Noise
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Noise.3jjak06b.s3 Noise 2s 100% 11 Noise
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Noise.3jjaghub.s6 Noise 2s 100% 11 Noise
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Noise.3jjaghub.s1 Noise 2s 100% 11 Noise
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Noise.3jjal39h.s7 Noise 2s 100% 11 Noise
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Noise.3jjal39h.s2 Noise 2s 100% 11 Noise
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Noise.3jjamg8o.s6 Noise 2s 100% 11 Noise
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Noise.3jjamg8o.s1 Noise 2s 100% 11 Noise
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Noise.3jjanhv2.s5 Noise 2s 100% 11 Noise
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Anomaly 2.3jjb1vsv.s7 Anomaly 2 2s 100% 11 Anomaly 2
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Anomaly 2.3jjb1vsv.s2 Anomaly 2 2s 64% 7 Anomaly 2, 2 Anomaly 1, 2 uncertain
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Anomaly 2.3jjbncr4.s6 Anomaly 2 2s 100% 11 Anomaly 2
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Anomaly 2.3jjbncr4.s1 Anomaly 2 2s 100% 11 Anomaly 2
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Anomaly 2.3jjbqd8b.s6 Anomaly 2 2s 100% 11 Anomaly 2
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Anomaly 2.3jjbqd8b.s1 Anomaly 2 2s 100% 11 Anomaly 2
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Anomaly 2.3jjbrk6s.s4 Anomaly 2 2s 100% 11 Anomaly 2
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Anomaly 2.3jjbrk6s.s3 Anomaly 2 2s 100% 11 Anomaly 2
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Anomaly 2.3jjbrk6s.s1 Anomaly 2 2s 100% 11 Anomaly 2
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Anomaly 2.3jjc0t1b.s6 Anomaly 2 2s 100% 11 Anomaly 2
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Anomaly 2.3jjc0t1b.s1 Anomaly 2 2s 100% 11 Anomaly 2
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Anomaly 2.3jjc2elb.s3 Anomaly 2 2s 100% 11 Anomaly 2
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Anomaly 2.3jjc457c.s4 Anomaly 2 2s 100% 11 Anomaly 2
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Anomaly 2.3jjc457c.s2 Anomaly 2 2s 100% 11 Anomaly 2
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Model testing output

Results

Model version:
Accuracy
95.07%

Confusion matrix

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Feature explorer

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