Systems and methods for refrigerant leakage diagnosis

A system for refrigerant leakage detection, the system comprising:

• one or more sensors configured to detect one or more parameters of a building system including a refrigerant;
• one or more storage devices storing instructions thereon that, when executed by one or more processors, cause the one or more processors to:
• determine reconstruction error enhancement coefficients for each of the one or more sensors;
• receive sensor data from the one or more sensors;
• apply the sensor data to a long short-term memory (LSTM) model to generate predicted sensor data corresponding to the one or more sensors;
• receive subsequent sensor data from the one or more sensors;
• compare the predicted sensor data to the subsequent sensor data to generate one or more reconstruction errors;
• apply the reconstruction error enhancement coefficients to the one or more reconstruction errors to generate one or more enhanced reconstruction errors;
• determine that the building system has a refrigerant leakage based on the one or more enhanced reconstruction errors;
• and
• responsive to determining that the building system has the refrigerant leakage, take an action to address the refrigerant leakage.

A method for refrigerant leakage detection, the method comprising:

• receiving, by one or more processors of a system, sensor data from one or more sensors associated with a building system including a refrigerant;
• applying, by the one or more processors, the sensor data to a machine learning model to generate predicted sensor data corresponding to the one or more sensors, wherein the machine learning model is a long short-term memory (LSTM) model;
• receiving, by the one or more processors, subsequent sensor data from the one or more sensors;
• comparing, by the one or more processors, the predicted sensor data to the subsequent sensor data, wherein comparing the predicted sensor data to the subsequent sensor data includes generating one or more reconstruction errors;
• determining, by the one or more processors, reconstruction error enhancement coefficients for each of the one or more sensors;
• applying, by the one or more processors, the reconstruction error enhancement coefficients to the one or more reconstruction errors to generate one or more enhanced reconstruction errors;
• determining, by the one or more processors, that the building system has a refrigerant leakage using the one or more enhanced reconstruction errors;
• and
• responsive to determining that the building system has the refrigerant leakage, taking, by the one or more processors, an action to address the refrigerant leakage.