A transformer monitoring apparatus based on non-electricity comprehensive characteristic information includes a transient oil pressure characteristic measuring module, a transient oil flow characteristic measuring module, a transient acceleration characteristic measuring module, a signal conditioning and acquiring module, and a digital processing and analyzing module; the transient oil pressure characteristic measuring module, the transient oil flow characteristic measuring module, and the transient acceleration characteristic measuring module are each connected to the signal conditioning and acquiring module, and the signal conditioning and acquiring module is connected to the digital processing and analyzing module. A transformer monitoring method based on non-electricity comprehensive characteristic information is also provided. The apparatus and method calculate an operating oil pressure, an operating oil flow, and an operating acceleration, which characterize a running state of the transformer, by comprehensively using information of a plurality of non-electricity transient characteristics in the transformer.

A transformer monitoring apparatus based on non-electricity comprehensive characteristic information includes a transient oil pressure characteristic measuring module, a transient oil flow characteristic measuring module, a transient acceleration characteristic measuring module, a signal conditioning and acquiring module, and a digital processing and analyzing module; the transient oil pressure characteristic measuring module, the transient oil flow characteristic measuring module, and the transient acceleration characteristic measuring module are each connected to the signal conditioning and acquiring module, and the signal conditioning and acquiring module is connected to the digital processing and analyzing module. A transformer monitoring method based on non-electricity comprehensive characteristic information is also provided. The apparatus and method calculate an operating oil pressure, an operating oil flow, and an operating acceleration, which characterize a running state of the transformer, by comprehensively using information of a plurality of non-electricity transient characteristics in the transformer.

A transformer fault diagnosis and positioning system based on a digital twin is provided and includes the following. A communication sensing module, which is configured to transmit bottom-level monitoring data obtained from a device entity to a system support module. The system support module, which is configured to receive and preprocess bottom-level monitoring data, and store various data, models and expert systems. A dynamic twin module, which is configured to analyze a multi-dimensional probability status of a device fault, construct a dynamic degradation model of different health states, and realize model correction through human-computer interaction, real-time measurement, and dynamic update subsequently. A decision-making diagnosis module, which is configured to construct a digital twin of data to be diagnosed, to realize diagnosis and positioning of the health state. A user interface module to display a diagnosis result and related information through a UI interface, to provide further decision-making and human-computer interaction.

A transformer fault diagnosis and positioning system based on a digital twin is provided and includes the following. A communication sensing module, which is configured to transmit bottom-level monitoring data obtained from a device entity to a system support module. The system support module, which is configured to receive and preprocess bottom-level monitoring data, and store various data, models and expert systems. A dynamic twin module, which is configured to analyze a multi-dimensional probability status of a device fault, construct a dynamic degradation model of different health states, and realize model correction through human-computer interaction, real-time measurement, and dynamic update subsequently. A decision-making diagnosis module, which is configured to construct a digital twin of data to be diagnosed, to realize diagnosis and positioning of the health state. A user interface module to display a diagnosis result and related information through a UI interface, to provide further decision-making and human-computer interaction.

The invention provides a transformer short-circuit protection method and a transformer short-circuit protection device. The transformer short-circuit protection method includes: acquiring output voltages of a plurality of output lines of at least one winding on a low-voltage side of a transformer; and determining a short circuit according to the output voltages, and sending a protection signal when the short circuit is determined.

The invention provides a transformer short-circuit protection method and a transformer short-circuit protection device. The transformer short-circuit protection method includes: acquiring output voltages of a plurality of output lines of at least one winding on a low-voltage side of a transformer; and determining a short circuit according to the output voltages, and sending a protection signal when the short circuit is determined.

A method includes performing a test for transformer rectifier unit (TRU) backfeed protection by removing AC power supplied to the TRU but keeping the TRU contactor closed for a first predetermined span of time. The method includes observing the TRU for a second predetermined span of time. The method includes determining if the contactor opens during the second span of time, that a TRU backfeed protection is functional and passes the test, and determining if the contactor does not open during the second span of time, that the TRU backfeed protection has failed the test.

A method includes performing a test for transformer rectifier unit (TRU) backfeed protection by removing AC power supplied to the TRU but keeping the TRU contactor closed for a first predetermined span of time. The method includes observing the TRU for a second predetermined span of time. The method includes determining if the contactor opens during the second span of time, that a TRU backfeed protection is functional and passes the test, and determining if the contactor does not open during the second span of time, that the TRU backfeed protection has failed the test.

A sensor assembly for monitoring an internal condition of a transformer comprising: a body for location outside a tank of the transformer, the body housing an electronics assembly including body sensors coupled to a processor; a probe extending from the body for insertion into a tank of the transformer; a number of probe sensors coupled to the processor disposed at or toward a remote end of the probe for sensing conditions within the tank; wherein the processor is configured to process signals from the probe sensors and the body sensors to produce signals for assessing one or more of: transformer core temperature; transformer insulation state; partial discharge; mechanical state of transformer; chemical state of transformer.

A sensor assembly for monitoring an internal condition of a transformer comprising: a body for location outside a tank of the transformer, the body housing an electronics assembly including body sensors coupled to a processor; a probe extending from the body for insertion into a tank of the transformer; a number of probe sensors coupled to the processor disposed at or toward a remote end of the probe for sensing conditions within the tank; wherein the processor is configured to process signals from the probe sensors and the body sensors to produce signals for assessing one or more of: transformer core temperature; transformer insulation state; partial discharge; mechanical state of transformer; chemical state of transformer.