Abstract: A system for determining a phase of a power supply coupled to a metering device. The system includes a collection device in electronic communication with a metering device connected to a power distribution network and having a memory and one or more electronic processors. The electronic processors are configured to receive a first beacon signal and measure a phasor in response to receiving the first beacon signal. The phasor is stored in the memory along with an identification value associated with the device that transmitted the first beacon signal and a first time. The electronic processors receive a second beacon signal, and extract data from the request message. The electronic processors determine whether the extracted time matches the first time and based on determining that the extracted time matches the first time stored in the memory, calculate a phase by comparing the reference phasor data to the stored phasor.

Abstract: A system for determining a phase of a power supply coupled to a metering device. The system includes a collection device in electronic communication with a metering device connected to a power distribution network and having a memory and one or more electronic processors. The electronic processors are configured to receive a first beacon signal and measure a phasor in response to receiving the first beacon signal. The phasor is stored in the memory along with an identification value associated with the device that transmitted the first beacon signal and a first time. The electronic processors receive a second beacon signal, and extract data from the request message. The electronic processors determine whether the extracted time matches the first time and based on determining that the extracted time matches the first time stored in the memory, calculate a phase by comparing the reference phasor data to the stored phasor.

Abstract: A system for determining a phase of a power supply coupled to a metering device. The system includes a collection device in electronic communication with a metering device connected to a power distribution network and having a memory and one or more electronic processors. The electronic processors are configured to receive a first beacon signal and measure a phasor in response to receiving the first beacon signal. The phasor is stored in the memory along with an identification value associated with the device that transmitted the first beacon signal and a first time. The electronic processors receive a second beacon signal, and extract data from the request message. The electronic processors determine whether the extracted time matches the first time and based on determining that the extracted time matches the first time stored in the memory, calculate a phase by comparing the reference phasor data to the stored phasor.

Abstract: Detection of fault occurrences within a power distribution system. A transient detector and fault classification system (10) implements an algorithm that detects transients which may result from the occurrence of a fault in the power distribution system. The system includes a detection module (18) which processes a set samples obtained from electrical waveforms propagated of through the power distribution system and appear to be statistically anomalous compared to other sample data. This is done using an adaptive detection algorithm that is applied when large changes occur in a waveform over a relatively short period of time. The identified samples are then provided to a signal classifier module (20) which processes sets of samples to classify a transient they represent as a likely fault occurrence or some other type of anomaly which is likely not a fault occurrence.

Abstract: Detection of fault occurrences within a power distribution system. A transient detector and fault classification system (10) implements an algorithm that detects transients which may result from the occurrence of a fault in the power distribution system. The system includes a detection module (18) which processes a set samples obtained from electrical waveforms propagated of through the power distribution system and appear to be statistically anomalous compared to other sample data. This is done using an adaptive detection algorithm that is applied when large changes occur in a waveform over a relatively short period of time. The identified samples are then provided to a signal classifier module (20) which processes sets of samples to classify a transient they represent as a likely fault occurrence or some other type of anomaly which is likely not a fault occurrence.