A system for ground fault detection includes an alternating current (AC) excitation source configured to provide an AC test signal to a circuit under test; a current transformer configured to detect a current of the AC test signal; a capacitive pickup configured to detect a voltage of the AC test signal; and a receiver which includes a display; and a processor configured to receive the voltage from the capacitive pickup; receive the current from the current transformer; and display on the display one or more components of the current.

Collect a full band capture spectral reading from a plurality of cable/fiber broadband network customer units (e.g., cable modems or equivalent optical units); for each of the cable/fiber broadband network customer units, construct an ideal spectral reading. For each of the cable/fiber broadband network customer units, subtract the ideal spectral reading from the full band capture spectral reading to obtain a resultant spectrum. For at least one of the cable/fiber broadband network customer units, identify a persistent deviation from zero in the resultant spectrum that does not match a known impairment type. Identify at least one new impairment type corresponding to the persistent deviation from zero. Remediation of the new impairment type can be carried out as appropriate, and/or a detection pattern can be deployed to identify future occurrences of the new impairment type.

A power supply device may include a connector configured to electrically couple the power supply device to a conductor of the underground power lines; a voltage divider configured to receive an input voltage from the conductor, the voltage divider comprising a capacitor and divider voltage control electronics in series with the capacitor; and, a surge resistor in series with the capacitor and configured to provide impulse protection from surge events. The divider voltage control electronics may be configured to regulate an output voltage of the voltage divider to support variable loads on the voltage divider.

In some examples, signal leakage monitoring based quality control may include measuring, by a signal leakage level detector, for a signal leak at a specified location, a signal leakage level. The signal leak may include a status of being open. A geo-location value and a time value associated with the measurement of the signal leakage level may be assigned to the signal leakage level. A signal leakage closure quality analyzer may transmit the signal leakage level, the geo-location value, and the time value to a signal leakage analyzer. Further, the signal leakage closure quality analyzer may receive, from the signal leakage analyzer and based on an analysis of the signal leakage level, the geo-location value, and the time value by the signal leakage analyzer, an indication that the status of the signal leak is changed from being open to closed, or the status of the signal leak remains open.

A method for localizing a short circuit between a conductor and an electrically conductive shield of a high-voltage cable comprises providing at least two measuring apparatuses arranged at the high-voltage cable at a known distance from one another and having timers, synchronized with one another, and a measuring device for detecting an electric current flowing in the shield and/or an earthing line connecting the shield and earth. The measuring apparatus transmits pairs of current measurement values and associated values of the timer to an analysis unit, which, upon the occurrence of a current exceeding a threshold value and/or of a current profile over time that satisfies specific stipulations, feeds to a calculation unit the associated values of the timers and also an indication about the location of the measurement, for which first effects of the short circuit occurred. The calculation unit calculates the location of a short circuit from the known distance between the measuring apparatuses and a difference between the values of the synchronized timers.

An arc detection device is used in a system including one or more power sources, a plurality of converters, and a plurality of load devices. The one or more power sources and the plurality of converters are connected to each other by a plurality of power lines. The plurality of converters and the plurality of load devices are connected to each other by a plurality of power lines. The arc detection device includes: an electric current detector that includes a magnetic core through which two or more power lines included in the plurality of power lines extend, and detects combined currents flowing through the two or more power lines according to the magnetic field produced at the magnetic core; and an arc determiner that determines, on the basis of the combined currents detected by the electric current detector, whether an electric arc has occurred.

In the field of fault location within a power transmission network, a method of determining a fault location in a power transmission conduit includes: (a) sampling at an original sampling frequency a signal propagating through the power transmission conduit to establish a first data set including a plurality of sampled signal characteristics; (b) interpolating the first data set to establish a second data set including an increased number of signal characteristics whereby the second data set has an equivalent sampling frequency higher than the original sampling frequency; (c) identifying a fault wave signal within the second data set; and (d) utilising the propagation characteristics of the fault wave signal to determine the origin of the fault wave signal within the power transmission conduit.

The invention relates to a method and a device for identifying and locating cyclic momentary insulation faults in an ungrounded power supply system, the method comprising the steps: detecting a fault current caused by the momentary insulation fault as a differential current in the branch circuit to be monitored and displaying the temporal progression of the differential current via a differential current signal by means of a differential current sensor; providing a processing signal which temporally describes a process sequence of a process taking place in the consumer; correlating the differential current signal with the processing signal in a computing unit in order to yield a correlation signal as a measure for a temporal match between the differential current signal and the processing signal; signaling the momentary insulation fault via the computing unit by means of a signaling signal if the correlation signal shows the temporal match. The device according to the invention has a differential current sensor and a computing unit so that it can implement the method according to the invention.

A system includes: a sensor configured to detect electrical signals of a cable section for transmitting electrical energy; a processor; a data memory; and a signal interface. The data memory stores a set of curves with an associated distance to the sensor and representing a pulse response of an electrical pulse predetermined by a cable model as a result of a modeled partial discharge at the associate distance. The sensor detects a discharge signal caused by an actual partial discharge on the cable section, and transmits a measurement signal to the processor. Based on the first measurement signal, the processor determines which among the curves in the set correlates best with the first discharge signal, as the first discharge curve. The processor determines a sensor distance between the actual partial discharge and the sensor based on the distance associated with the discharge curve. The signal interface transmits the sensor distance.

The present disclosure is applicable to the technical field of maintenance of submarine cables, and provides a fault diagnosis method and apparatus for a submarine cable, and a device. The method includes: obtaining deployment data and sensed data of a target submarine cable; and inputting the deployment data and the sensed data into a trained fault diagnosis model to obtain a diagnosis result of the target submarine cable, where the fault diagnosis model is a probabilistic neural network model, and the diagnosis result includes a fault type. The present disclosure uses the trained probabilistic neural network model as the fault diagnosis model to diagnose a fault of the target submarine cable, and can quickly and accurately obtain the fault type of the target submarine cable.