Three-Phase Intelligent Electric Meters Zero Line Detection System and Method
A new detection system and method based on signal processing and machine learning are proposed to address the issue of zero line disconnection in three-phase smart meters.The zero line fault of a three-phase intelligent electricity meter may lead to current imbalance and other problems,so effective detection methods are needed.In the aspect of system design,a detection system including sensors and data acquisition modules is constructed to obtain three-phase current and voltage signals.Then,various signal processing algorithms were used to extract features related to zero line faults.These features include current imbalance,shape of power waveform,etc.In order to further accurately determine the zero break line,a machine learning model was introduced.By using labeled training data,train a classifier to accurately identify zero line faults.
three-phase intelligent electric meterzero line detectionsignal processingmachine learningsensorsdata acquisition modules
万方数据
维普
