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Learn about innovative data pre-processing techniques for predictive maintenance in this conference talk from tinyML EMEA. Explore how vibration-based condition monitoring can detect machine health issues and predict failures by analyzing mechanical problems like shaft unbalance, bearing failures, and gear wear. Discover the challenges of processing high-frequency vibration sensor data and the solution presented through Neuromorphic Front-End technology and Neuromorphic Analog Signal Processing (NASP). Understand how this unique architecture, using artificial neurons and axons implemented with operational amplifiers and programmable resistors, enables efficient data processing directly on sensor nodes. Examine how NASP technology reduces data flow by 1000 times while maintaining reliable predictive maintenance capabilities, significantly improving power efficiency for Industrial IoT applications. Gain insights into how this innovative approach enables widespread deployment of wireless and energy-harvesting solutions in previously inaccessible locations while reducing operational and capital expenses.
