An electrical test device for testing electrical characteristics of a cable assembly with a plurality of cable connectors includes a frame having a test platform, and an electrical tester mounted on the frame for testing the electrical characteristics of the cable assembly. A cable connecting and holding mechanism is provided on the test platform and includes a plurality of connector carriers, wherein each connector carrier holds one of the plurality of cable connectors of the cable assembly and electrically connecting the one cable connector to the electrical tester.

A test apparatus for testing a cable assembly includes a first air tightness tester, a second air tightness tester and an electrical tester. A first test device is operably connected to the first air tightness tester and the electrical tester, and a second test device is operably connected to the second air tightness tester and the electrical tester. With a first cable connector and a second cable connector of a cable installed on a respective one of the first test device and the second test device, an air tightness test and an electrical test are performed on the first cable connector and the second cable connector simultaneously.

According to an apparatus and a method for detecting a cable abnormality based on reflectometry utilizing artificial intelligence according to the exemplary embodiment of the present disclosure, it is possible to monitor a state of the cable which connects the nodes in real time by inserting a result of the time-frequency domain reflectometry into a variational autoencoder (VAE) which is one of unsupervised learning.

According to an apparatus and a method for detecting a cable abnormality based on reflectometry utilizing artificial intelligence according to the exemplary embodiment of the present disclosure, it is possible to monitor a state of the cable which connects the nodes in real time by inserting a result of the time-frequency domain reflectometry into a variational autoencoder (VAE) which is one of unsupervised learning.

A vehicle includes first and second power supply cords. Positive and negative electrodes of a battery are connected to a first power supply portion and a first ground portion of a first circuit, respectively, by the first power supply cord, and connected to a second power supply portion and a second ground portion of the second circuit, respectively, by the second power supply cord. The first circuit includes a control circuit configured to measure voltages of the second power supply portion as a first voltage and as a second voltage with reference to a potential of the first ground portion and a potential of the second ground portion, respectively. In a case in which the first and second voltages have a predetermined relationship, power supplied from the second power supply cord to the second circuit is set to be a predetermined value or less.

A voltage detection circuit includes a first terminal for connecting to one end of a first voltage detection line through a first resistor, the first voltage detection line having another end connected to a cathode or an anode of a first individual battery; a second terminal for connecting to the one end of the first voltage detection line without the first resistor; a first current generating circuit connected to the first terminal; and a voltage detector which detects a voltage of the first terminal and a voltage of the second terminal. The voltage detector includes at least one first AD converter connected to the first terminal, and at least one second AD converter connected to the second terminal.

Techniques, systems and articles are described for monitoring electrical equipment of a power grid and predicting likelihood failure events of such electrical equipment. In one example, a cable accessory is configured to couple to an electrical power cable and includes a partial discharge sensor and a communications unit. The partial discharge sensor is configured to detect partial discharge events and output data indicative of the partial discharge events. The communications unit is configured to output event data based at least in part on the partial discharge data.

Techniques, systems and articles are described for monitoring electrical equipment of a power grid and predicting likelihood failure events of such electrical equipment. In one example, a cable accessory is configured to couple to an electrical power cable and includes a partial discharge sensor and a communications unit. The partial discharge sensor is configured to detect partial discharge events and output data indicative of the partial discharge events. The communications unit is configured to output event data based at least in part on the partial discharge data.

Devices, systems, and methods for measurement of parameters of electric power transmission lines can improve electric power usage, while wireless circuitry can provide communication from field-located devices. Connection to draw electrical power from the transmission line can be distinct from connection to sense line parameters.

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.