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Published Subscription Review Article
TinyML-Based Real-Time Industrial Fault Detection Using Vibration SignalsBy Sarvesh Mahimkar, Bhakti Gavali, Aditi Gavali, Jyoti Ghadage, Vaibhav Godase
Abstract: Industrial rotating machinery is commonly monitored through vibration measurements because changes in bearing condition can alter signal amplitude, impulsiveness, and spectral distribution. Cloud-centred analytics may introduce communication dependence, bandwidth demand, and response delay. Tiny Machine Learning (TinyML) offers a complementary approach by executing compact inference locally on resource-constrained edge hardware. This paper presents a reproducible, deployment-oriented workflow for vibration-based machine-state classification using statistical and spectral features with small classifiers suitable …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 3, 2026 Read article →