Leakage Detector

Leakage detection research focuses on developing robust and accurate methods for identifying leaks in diverse systems, from water distribution networks and natural gas pipelines to power grid insulators. Current efforts leverage machine learning, employing algorithms like gradient boosting, random forests, support vector machines, and neural networks to analyze sensor data and predict leak occurrences, often focusing on improving sensitivity to small leaks and reducing false alarms. These advancements are crucial for improving infrastructure safety, reducing resource waste (water, gas, energy), and optimizing maintenance strategies across various industries.