Method and device for determining a fault location in an electric power distribution network with an infeed and lines in the form of a main strand and a multiplicity of branches of the main strand. First and second measured values are acquired at a first and second measurement point of the power distribution network, and a fault location is determined based on the first and the second measured values. Arrival of respective traveling waves are identified based on the first and the second measured values, and the times of the respective arrival of the traveling wave are stored. A first fault location value is generated using the respective times of both measurement points and a second fault location value is generated using the times of only the first measurement point. The fault location is determined based on the first fault location value and the second fault location value.

A method for identifying a fault event in an electric power distribution grid sector including one or more electric loads and having a coupling node with a main grid, at which a grid current adsorbed by said electric loads is detectable. The method allows determining whether a detected anomalous variation of the grid current, adsorbed at the electric coupling node, is due to the start of a characteristic transitional operating period of an electric load or is due to an electric fault.

A system for estimating faulted area in an electric distribution system. The system includes a database storing input data, a fault detection module to estimate, based on the input data, if a new faulted area estimation process is required, a condition estimation module to estimate condition of metered protective devices, un-metered protective devices, and metered devices (PMDs), an upstream to downstream module to assess condition of each metered protective device, un-metered protective device, and metered device (PMD), starting from a feeder circuit breaker towards feeder downstream, to estimate a tripped protective device and a last metered device upstream of a fault, and a downstream to upstream module configured to assess outaged electric loads or elements towards network upstream to find the common interrupting protective device.

A detection scheme for temporary overvoltages and/or ground fault overvoltages in electric power systems is described. Current passing through a surge arrestor component of the power system is monitored. An algorithm for identifying one or more frequency components of the measured current signal is performed to screen out unwanted harmonics. In some embodiments, this is a frequency domain analysis. The frequency component(s) of the current signal is then compared to a calculated pickup current or pickup voltage of the system to determine if system protection steps should be undertaken.

An in-vehicle power supply structure, in which a vehicle is divided into a plurality of zones and a power supply hub for connecting an electronic device is provided in each of the zones, includes a break detection wire routed along a power supply wire, for detecting damage to the power supply wire caused by an external force acting on the vehicle by its own damage. Both ends of the break detection wire are connected to power supply hubs placed adjacent to each other.

Systems, apparatuses, and methods are described for operating and maintaining a data network, and for detecting problems such as signal leakage. In one implementation, a computing device may determine, based on availability and location, one or more mobile devices and may cause the mobile devices to detect a wireless signal. The detected wireless signal may be identified as having leaked from a network, such as a wired network, and used to detect the source of leaks.

Testing to detect intermittent electrical pathways is described. Applied currents may be reversed to fully test all components of a workpiece. Various testing methodologies may be employed. These methodologies may include Time Domain Reflectometry (TDR), mechanical agitation, dark current/voltage testing, (dark IV), i.e., electrical testing of a workpiece using applied electricity, and thermographic imaging, e.g., infra-red thermal imaging. The sensed voltage during agitation may be compared to a benchmark voltage to determine whether or not an intermittent failure exists.

Examples of operating an Intelligent Electronic Device (IED) during power swings, are described. In an example, voltage measurements for a phase is received and sampled. Root mean square (RMS) values of the voltage samples is calculated based on the voltage measurements. Delta quantities for each phase are calculated based on the RMS values. Each of the RMS values and delta quantities are associated with respective sampling instants. In response to a delta quantity being greater than a predefined threshold, a peak delta quantity is detected. A time interval between a sampling instant associated with the peak delta quantity and a sampling instant associated with a first delta quantity is determined. Based on a comparison of the time interval with a threshold time, a disturbance condition may be detected as a power swing and consequently, fault detection at the IED may be blocked.

An operating component has a sensor device for recording measurement values and a communication device for transmitting a status report. A data storage device stores the recorded measurement values and a status estimation device determines an operating status with the aid of the recorded measurement values.

A method for testing a network is disclosed, the network having a number of network sections, in particular in a cable harness having a number of such networks, having the following steps of: recording training measured values for a number of reference networks, wherein the reference networks correspond to the network to be tested, preprocessing the recorded training measured values in order to eliminate data errors in the training measured values, training a first classification system using the training measured values, wherein the first classification system is based on at least one algorithm from the field of machine learning and is designed to classify a network either as fault-free or faulty, training a second classification system using the training measured values, wherein the second classification system is based on at least one algorithm from the field of machine learning and is designed to classify a faulty network section of a network, recording test measured values for the network to be tested, preprocessing the recorded test measured values in order to eliminate data errors in the training measured values, classifying the network to be tested as fault-free or faulty on the basis of the recorded test measured values using the trained first classification system, and classifying the faulty network section of the network to be tested using the trained second classification system if the network (to be tested was classified as faulty by the trained first classification system. The present invention also discloses a corresponding testing device.