This tool helps automation engineers and reliability specialists simulate fault occurrences, log events, and produce basic summaries for improved reliability and troubleshooting. It's designed to support reasoning about failure patterns and post-incident analysis.
End-to-end predictive maintenance pipeline: multi-sensor data acquisition (current, temperature, vibration), signal processing, ML-based condition classification (98% accuracy), and an offline inference dashboard. Validated on a vertical drill press — adaptable to any sensor-instrumented machine.
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