Vibration Severity Criteria Development for MEMS-Enabled Data-Driven Condition Monitoring of Electric Motors

The rapid proliferation of artificial intelligence in industrial diagnostics has fundamentally altered predictive maintenance for rotating machinery. However, even with all its benefits, operational reliability for applications using it remains constrained by a "cold start" dependency on prolonged training periods to establish reference baselines. This introduces a pronounced vulnerability known as baseline poisoning, wherein latent defects present during the initial learning window bias the characterization of nominal behavior, “teaching” the models that high levels of vibration are standard for the machine. Such normalization of deviance compromises diagnostic sensitivity, delaying the detection of early-stage mechanical degradations. For industrial motors, while the ISO 20816-3 standard…