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One compact detector small enough to live on the microcontroller native to the equipment.
Learns healthy operation in 1,700 samples—as little as two seconds at kilohertz rates—then locks. No labels. No tuning.
No dynamic allocation after initialization. Architected for constrained and safety-critical firmware environments.
Compiled for your target hardware. Deterministic and verifiable against published test vectors, with source available to certifying authorities under NDA.
Zero false positives across 120 hours of healthy synthetic-vibration soak testing, with a 95% confidence ceiling below 0.025 per hour.
Same signal. Same answer. Replayable and auditable.
† Enrollment requirements vary by equipment type, modes, and operational envelope.
The CWRU bearing dataset spans 27 fault pairs across inner-race, ball, and outer-race faults at three severity levels. The recommended operating point produces the deployed numbers below, with no oracle threshold and no per-fault tuning.
An industry-standard run-to-failure dataset spans more than 30 days of continuous vibration from four bearings, two of which failed and two of which survived. Flynn ran on all eight accelerometer channels simultaneously — zero configuration changes between them.
336 hours of ambient time-series covering temperature, environmental, and process-control signals — slow-changing data with strong day-night cycles. Flynn maintains a false-positive rate that fits the cadence of normal operator review.
10,000 instances across 12 features of electrical-grid stability data — a signal domain that shares nothing with rotating-machinery vibration. Same source, same flags, no per-domain configuration.
The false-alarm rate is the first thing operators ask about. Across 120 simulated hours of synthetic vibration — 5 random seeds × 24 hours each — Flynn produced zero false positives, with a 95%-confidence ceiling of 0.025 per hour. On bearing normal-operation traces, zero across 1.2 million samples.
Zero false positives on bearing data. Operationally low on diurnal. The numbers operators actually care about.
Flynn's empirical claims are reproducible from committed benchmarks and committed source code. Artifacts and reproduction instructions are available to evaluation licensees.