Position sensing modules associated with a device are provided. The position sensing modules are configured to receive electrical characteristics associated with one or more switches of a device over a predetermined period of time, the one or more switches being configured to connect service to or disconnect service from a customer; calculate a match indicator for each phase of the device including the one or more switches, the match indicator indicating whether an electrical characteristic on a load-side of the device matches a same electrical characteristic on a line-side of the device for each phase of the device; and determine a position of the one or more switches based on the received electrical characteristics and the calculated match indicator for each phase of the device.

Position sensing modules associated with a device are provided. The position sensing modules are configured to receive electrical characteristics associated with one or more switches of a device over a predetermined period of time, the one or more switches being configured to connect service to or disconnect service from a customer; calculate a match indicator for each phase of the device including the one or more switches, the match indicator indicating whether an electrical characteristic on a load-side of the device matches a same electrical characteristic on a line-side of the device for each phase of the device; and determine a position of the one or more switches based on the received electrical characteristics and the calculated match indicator for each phase of the device.

Systems and methods for classifying power line events are disclosed. Classifying power line events may include receiving measured data corresponding to a signal measured on a power line, such as proximate a substation bus or along the power line, determining from the measured data that the power line event has occurred, extracting at least one event feature from the measured data, and determining at least partially from the at least one event feature at least one probable classification for the power line event. The systems may include an Intelligent Electronic Device (IED) connected to the power line and a processor linked to the IED.

Systems and methods for power line event zone identification are disclosed. Power line event zone identification may include receiving measured data corresponding to a signal measured on a power line, determining from the measured data that a power line event has occurred, and identifying a probable one of at least two monitoring zones in which the power line event occurred. The at least two monitoring zones may be defined for an Intelligent Electronic Device (IED). The systems may include an IED connected to the power line and a processor linked to the IED.

Systems and methods for power line event zone identification are disclosed. Power line event zone identification may include receiving measured data corresponding to a signal measured on a power line, determining from the measured data that a power line event has occurred, and identifying a probable one of at least two monitoring zones in which the power line event occurred. The at least two monitoring zones may be defined for an Intelligent Electronic Device (IED). The systems may include an IED connected to the power line and a processor linked to the IED.

Method for detecting a fault in an electricity meter including a breaking unit, the fault producing an abnormal temperature increase in the meter, the detecting method comprising the steps of: measuring a magnitude of an electrical current flowing through the breaking unit; measuring an interior temperature in proximity to the breaking unit; and detecting the presence or absence of the fault on the basis of the measured magnitude and the measured interior temperature.

Provided is an in-field apparatus and method for automatic localization of a fault having occurred at power transmission lines of a power supply system, the in-field apparatus includes a preprocessing unit configured to process measured voltage and/or current raw time series data of the power transmission lines to provide a normalized raw data and/or feature representation of the measured raw time series data, and an artificial intelligence module configured to predict an optimal evaluation time used for evaluation of the measured voltage and/or current raw time series data to localize the fault based on the normalized raw data and/or feature representation.

Provided is an in-field apparatus and method for automatic localization of a fault having occurred at power transmission lines of a power supply system, the in-field apparatus includes a preprocessing unit configured to process measured voltage and/or current raw time series data of the power transmission lines to provide a normalized raw data and/or feature representation of the measured raw time series data, and an artificial intelligence module configured to predict an optimal evaluation time used for evaluation of the measured voltage and/or current raw time series data to localize the fault based on the normalized raw data and/or feature representation.

The present disclosure relates to generating a measurement sensor profiling summary in relation to a measurement sensor of an electrical measurement system, the measurement sensor being suitable for measuring an electrical property. The profiling summary is generated by obtaining a plurality of profiling results each comprising an estimate of a transfer function of a measurement sensor of the electrical measurement system and a corresponding certainty value indicative of the accuracy of the estimate of the transfer function, wherein the plurality of profiling results are based on estimates of the transfer function of the measurement sensor and corresponding certainty values that were determined by a monitor module of the electrical measurement system during a profiling period of time; and generating a profiling summary based on at least one of the plurality of profiling results.

The present disclosure relates to the control of an operation of a monitor module of an electrical measurement system, where the monitor module has a plurality of operating states, including a) monitor at least a first measurement sensor of the utility meter to determine a first monitor result comprising an estimate of a transfer function of the first measurement sensor and a corresponding certainty value indicative of the accuracy of the estimate of the transfer function of the first measurement sensor, wherein the first measurement sensor is for measuring a first electrical property, and b) do not monitor any measurement sensor of the electrical measurement system.