Evaluating fault detection techniques for refrigerant leak detection in industrial vapor compression refrigeration systems
Résumé
Efficient detection of refrigerant leakage is essential for industrial refrigeration systems due to its considerable impact on system performance and the environment. Refrigerant leaks can be detected by monitoring the drop in the liquid level within the receiver.In this work, we evaluate fault detection techniques for identifying refrigerant leaks, comparing a fixed threshold method, such as Exponentially Weighted Moving Average, with a recent dynamic threshold approach. We also propose improving the latter method, achieving superior performance in balancing the trade-off between detecting genuine leaks and minimizing false alerts.