A sensor to monitor health of surge arresters such as metal oxide arresters is disclosed. The sensor including a housing; a sensor assembly contained in the housing, and a voltage measurement strap extending around a periphery of the housing. The voltage measurement strap being electrically connected to the electronics board and configured to measure voltage using electric field. The sensor assembly including: an electronics board to receive, transmit, process, and store signals; a Rogowski coil electrically connected to the electronics board to measure surge currents diverted by the surge arrestor; and a current transformer electrically connected to the electronics board to measure leakage current.

A device for monitoring a surge arrester, including: a grounding line; a measuring unit including one or more analog measuring circuits for measuring the electric current passing through the grounding line; an electronic processing unit for receiving measuring signals from the measuring circuits; a data storage medium for storing monitoring data produced by the processing unit; a base module, which accommodates the grounding line and the measuring unit; and an auxiliary module, which accommodates the processing unit and the data storage medium and is detachably mountable to the base module. When the auxiliary module is mounted to the base module, the components of the modules are connected to each other through a connector member provided on the base module and a corresponding connector member provided on the auxiliary module.

Provided is a method of accurately detecting the location of a partial discharge in a power device. For this purpose, the present invention measures sequential positions of arrival of partial discharge signals and the differences in the time of arrival between the partial discharge signals with respect to a plurality of partial discharge sensors installed on the outside surface of a power device, divides the power device into a plurality of spatial sections, determines a spatial section where the location of a partial discharge is present using the sequential positions of arrival of the partial discharge signals, calculates the representative location value of the determined spatial section, and determines compensation values for the differences in the time of arrival to be applied with respect to the respective spatial sections.

The present invention relates to a monitoring method and system of arrester applied to smart substation. The monitoring method of arrester applied to smart substation includes following steps: 1) getting original sample value of the arrester leakage current, 2) getting resample values of the original sample values of leakage current and SV voltage signals, 3) getting the amplitude and the phase values of the resample values of the leakage current and the SV voltage signals by Fourier transforming, 4) calculating angles between the resample values of the leakage current and the SV voltage signals according to the phase values of the resample values of the leakage current and the SV voltage signals, and calculating value of resistive current with the method of fundamental wave projection, 5) getting value of resistive current after medium filtered by medium filtering the value of resistive current, making a comparison of the value of resistive current after medium filtered and setting threshold value, and forewarning timely when the value of resistive current after medium filtered exceeds the setting threshold value. The monitoring system of arrester applied to smart substation comprises collecting unit, data processing unit and merge unit. The present invention, that the monitoring method of arrester applied to smart substation, could reduce the influence of the electronic interference on the system and raise the monitor accuracy of the faults of the arrester.

Disclosed are insulation resistance measuring device and method that are capable of rapidly and accurately calculating insulation resistance, despite parasitic capacitor components present in a battery pack.

The invention relates to a computer-implemented method for monitoring the status and evaluating the behavior of a surge arrester, the method comprising the following steps: providing measured values (S10) of one or more surge arresters; standardizing the provided measured values (S12); extracting parameters (S14) for characterizing each surge arrester from the standardized measurement values; determining a state of each surge arrester (S16) using a machine learning algorithm; and outputting an operating recommendation for each surge arrester (S18) based on the determined state of the surge arrester. (FIG. 1)

An arrester system has at least two parallel-connected arresters, each with a sensor for determining leakage currents. A monitoring system is configured to detect faults at the arresters by comparing sensor data. The method for detecting faults at parallel-connected arresters includes comparing in particular the present measured values of the arresters and/or from sensors of the arresters. A fault is detected when there are deviations between measured values of different arresters. The arrester system is identified as fault-free when measured values of the arresters, in particular of all arresters, are substantially the same.

An apparatus for diagnosing a surge protector connected to a battery includes a first switch configured to open and close a line that connects the first line to the second line by being directly connected to one end of each of the first line and the second line, a second switch configured to open and close a line that connects the second line to the third line by being directly connected to one end of each of the second line and the third line, and a processor configured to control opening/closing operations of the first switch and the second switch, measure a diagnostic voltage applied to the diagnostic resistor according to the opening/closing operation of the first switch and the second switch, and diagnose the surge protector based on the diagnostic voltage. A corresponding method and non-transitory computer-readable medium are also disclosed.