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UW Sensors, Energy and Automation Lab (SEAL)

Gas-Leak Autonomous Sensing, Localization, Evaluation, and Active Detection (GASLEAD) System

GASLEAD (Gas Leak Early Anomaly Detection) is an autonomous vibration-based sensing system designed to detect compressed gas leaks in industrial manufacturing environments. Sensor nodes clamp onto compressed air lines, continuously capturing high-frequency pipe vibration data and transmitting it wirelessly over a LoRa network to a central hub. A machine learning model analyzes the data and identifies anomalous vibration signatures indicative of turbulent flow caused by leaks. Unlike traditional methods, GASLEAD operates non-intrusively without requiring system shutdowns or manual inspection, helping facilities reduce energy waste, lower operational costs, and improve workplace safety.

Faculty Adviser(s)

Alex Mamishev, Electrical & Computer Engineering

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