4025results about "Voltage/current isolation" patented technology

The invention discloses an intelligent monitoring and early warning system for the safety state of an electrical cabinet, and belongs to the technical field of electrical variable measurement, and the system comprises a data collection module which is used for obtaining multi-source sensing data of the electrical cabinet, and the multi-source sensing data comprises a current waveform parameter, an infrared temperature distribution parameter and a mechanical vibration spectrum parameter; the health feature evaluation module is used for generating a health state feature vector of the electrical cabinet by using the multi-source sensing data; the instruction generation module is used for outputting an early warning decision instruction according to a matching result of the health state feature vector and a preset fault propagation rule base; and the safety protection module is used for executing a safety protection action when the early warning decision instruction meets a preset execution condition. A multi-source sensing data fusion analysis technology is adopted to construct an electrothermal mechanical composite feature vector, a fault propagation rule base is coupled to realize cross-domain conduction path modeling, composite hidden dangers such as contact deterioration and the like can be accurately identified in a fault incubation period, and graded active safety protection measures are triggered.

The invention discloses a grinding machine internal part temperature anomaly detection method based on vibration signal analysis, which comprises the following steps that grinding data are collected through sensor deployment, and the sensors comprise a temperature sensor, a vibration sensor, an infrared thermal imaging sensor, a magnetic resistance current sensor and an inductance type particle sensor; carrying out preprocessing and feature extraction on the collected data; model construction and training are carried out based on data of preprocessing and feature extraction; according to the method, the abnormal condition of the temperature of the part is predicted by detecting the vibration signal of the internal part, the content of metal particles in lubricating oil is detected through the oil analysis sensor, and the abrasion degree of the bearing is judged in combination with the vibration signal. And motor current harmonic characteristics are monitored, and overload or rotor imbalance problems are identified.

The invention relates to the technical field of electrical performance testing, in particular to a water supply equipment electrical performance detection system based on artificial intelligence, which comprises an electrical parameter acquisition module, an energy efficiency analysis module, an insulation performance evaluation module and a comprehensive diagnosis module. According to the invention, a three-phase voltage and current root-mean-square value is dynamically calculated through a broadband current transformer and a sliding window integration method, a 50Hz fundamental component amplitude is extracted to separate power frequency and high frequency harmonic waves, a continuous period energy efficiency ratio standard deviation triggers an insulation detection threshold value, and a parameter fluctuation and insulation degradation response mechanism is established. Harmonic interference correction synchronous processing energy efficiency ratio and leakage current integration, the detection error being lower than 5%, temperature rise rate linear regression and bearing current threshold value cooperative determination, winding aging cross validation, fault misjudgment rate reduction to 26%, closed-loop detection fusion transient capture, dynamic threshold value triggering and multi-parameter diagnosis, early warning success rate reaching 92%, and positioning response being reduced to 3 seconds.

The invention discloses a non-contact magnetoelectric composite current sensor with magnetism gathering and magnetic shielding. A sensor core is composed of a magnetoelectric sensing element, a magnetofluid layer, a magnetism gathering structure and a magnetic shielding layer. The magnetoelectric sensing element is made of manganese-doped lead magnesium niobate and amorphous alloy film composite materials, the outer side of the sensing element is coated with a magnetofluid layer made of soft magnetic composite materials, the magnetism gathering structure is made of permalloy materials with high magnetic conductivity and is divided into an upper part and a lower part, the upper part accommodates the sensing element and the magnetofluid layer, and the lower part accommodates the magnetic gathering structure. And the lower part is provided with a standardized groove for placing a conductor to be tested. The outermost layer is a magnetic shielding layer composed of multiple layers of nanocrystalline alloy strips, the vertical split type design is also adopted, and it is ensured that the magnetic shielding layer is tightly matched with the magnetic gathering structure through precision machining. The upper magnetic shielding layer and the lower magnetic shielding layer are detachably connected, and field installation is facilitated. The overall structure is compact, a circuit does not need to be disconnected during installation, and the device is especially suitable for on-line current monitoring requirements in the fields of smart grids, industrial automation and the like.

The invention provides a fault detection method, device and equipment for a direct current transformer with variable magnetic flux density, and the method comprises the steps: obtaining a magnetic field recovery curve family through gradient pulse excitation, and extracting a characteristic spectrum which reflects the fatigue degree of an iron core; separating fast and slow recovery components by using a time scale decomposition technology, calculating a scale coupling factor and establishing a dynamic health reference; a hysteresis critical point is positioned by adopting a bidirectional approximation test, and a fault precursor is identified from hysteresis width parameters; extracting an intersection point position through curve family cross analysis, constructing an angle field, calculating an angle sequence, and quantifying a fault development speed; designing a self-adaptive excitation scheme based on the development speed, and identifying a fault resonance mode from the chaotic transition features; a multi-resolution space fault distribution diagram is generated through phase space trajectory deviation degree analysis; spatial distribution and time sequence evolution information are fused to calculate a comprehensive fault index, four-stage classification diagnosis is realized, and a complete mutual inductor fault detection technical scheme from early warning to accurate positioning is formed.

The invention relates to the technical field of traction backflow monitoring, and provides a railway traction backflow monitoring analysis method and system based on multi-path current fusion. The method comprises the steps of generating multi-path current waveform data based on a mapping relation between a phase variation and traction backflow intensity, performing time-frequency domain combined noise reduction, and aligning with a time axis to obtain aligned multi-path current waveform data; and cross-path collaboration analysis is carried out, synchronous deviation characteristics of multi-path current are extracted, matching verification is carried out on the synchronous deviation characteristics and a preset traction load dynamic change interval, and an abnormal current event caused by harmonic distortion or transient impact and positioning information of the abnormal current event in the longitudinal direction of the steel rail are determined. According to the invention, high-precision detection and positioning of railway traction backflow and identification of harmonic and transient impact can be realized, and the problem of low-precision detection of railway traction backflow caused by weak anti-interference capability, insufficient spatial resolution and multipath current collaboration deficiency is solved.

The invention relates to the field of on-line monitoring of electrical equipment, in particular to an on-line monitoring method of the electrical equipment, which comprises the following steps: acquiring multi-dimensional monitoring parameters of the electrical equipment, including an electrical parameter, a temperature parameter and an insulation parameter; performing feature extraction on the collected multi-dimensional monitoring parameters to obtain feature parameters corresponding to the monitoring parameters, and constructing a feature vector set; based on historical normal operation data and real-time acquisition data of the electrical equipment, establishing a dynamic threshold model, and calculating a threshold corresponding to the characteristic parameter through the dynamic threshold model; feature parameters in the feature vector set are compared with corresponding thresholds output by the dynamic threshold model, and whether the electrical equipment is abnormal or not is judged; when the abnormity exists, outputting an abnormity monitoring result; and if not, returning to S1. According to the invention, by collecting multi-dimensional parameters, calibrating, correcting, de-noising and extracting features, and combining historical and real-time data to build a model and verify, data preprocessing, threshold adaptation and anomaly judgment are realized, and the monitoring reliability is improved.

The invention belongs to the field of data processing, and particularly relates to a high-voltage direct-current electric field intensity measuring method and a related device. In the device, an optical fiber direct-current electric field sensor at least comprises a signal processing unit, an optical fiber voltage sensing head, a fixed electrode and a rotating electrode. The method comprises the following steps: deploying a measuring device in a space to be measured; the rotating electrode is controlled to rotate at a constant speed, so that the center distance between the fixed electrode and the rotating electrode is periodically changed along with the rotating track; collecting an alternating current signal voltage generated by an alternating potential difference between the fixed electrode and the rotating electrode in a constant-speed rotating process through an optical fiber voltage sensing head; and performing numerical processing on the alternating current signal voltage through a signal processing unit to obtain a measured value of the high-voltage direct current electric field intensity, and optimizing the measured value in combination with a physical compensation model and a data driving compensation model. The method can realize the measurement of the high-voltage direct-current space electric field intensity, improve the measurement accuracy and expand the measurement range.

The invention provides a method and a system for measuring plasma current in a quasi-ring symmetrical star simulator, and relates to the technical field of star simulators, and the method comprises the steps: determining a sensor design index according to a bootstrap current simulation calculation result, and converting the design index into an actual arrangement scheme according to an installation environment constraint; all the magnet coils are independently excited in a plasma-free state, wall eddy current interference signals generated by the magnet coils are calibrated, and thus wall eddy current calibration voltage signals are output; a sensor in an actual arrangement scheme is used for synchronously collecting a total original induced voltage signal including plasma current and wall eddy current; an integral voltage signal representing the total current is output; and compensating the integral voltage signal by using the wall eddy current calibration voltage signal, and inverting the final measurement value of the plasma current in the quasi-ring symmetric star simulator. The device and the method have the beneficial effects that the interference of a stray field on a measurement result is weakened, and a high-precision diagnostic tool is provided for the plasma physical research of the star simulator.

The invention discloses a dual-polarization multi-layer optical current sensor and a multi-physical field disturbance resisting method thereof, and belongs to the technical field of current sensors of power systems. The sensor comprises a dual-polarization multi-layer sensor system and a dual-polarization multi-layer optical current sensor real-time signal processing system which are connected with each other, the output end of a double-layer diamagnetic photoelectric sensing signal processing unit and the output end of a temperature-resistant signal photoelectric sensing signal processing unit in the real-time signal processing system of the dual-polarization multi-layer optical current sensor are connected to the input end of a dual-polarization multi-layer signal processing unit; and the output end of the dual-polarization multi-layer signal processing unit is connected to the multi-physical field anti-interference signal output unit. According to the invention, the resistance of the straight-through optical path type MOCT to ambient temperature field fluctuation can be effectively improved, and the influence of external magnetic interference at any position and the influence of ambient temperature fluctuation interference can be resisted.

The invention discloses an anti-interference resistance detection circuit board and system based on four-wire system measurement, and relates to the technical field of industrial automatic detection. Aiming at the problems of low measurement precision, weak interference resistance and limited channel expansion of a traditional two-wire system, a current loop and a voltage sampling loop which are independently and electrically isolated are adopted, and a lead resistance error is eliminated through Kelvin connection; an EMI filter, a photoelectric coupler and a double-layer shielding cable are integrated, so that the influence of electromagnetic interference and a ground loop is inhibited; a single circuit board supports the parallel connection of at least two measuring units, realizes the cascade connection of multiple boards by combining an EtherCAT bus, and supports 384 channels at most. The measuring error is smaller than or equal to + / -0.1%, the single-channel detection time is smaller than or equal to 10 ms, the requirements of high-density and high-beat scenes such as perovskite photovoltaic glass are met, the method is suitable for 100-100 Momega wide-range resistance measurement, the signal transmission error rate in the industrial strong electromagnetic environment is extremely low, and the detection precision and the system reliability are remarkably improved.

The invention provides a current sensor. The current sensor adopts a magnetic-core-free design, and adopts a diversion row group with a special structure to guide a target current so as to enhance the electrifying capability of the current sensor and reduce the adverse effect of a high-frequency current skin effect on measurement. Based on the structural characteristics of the diversion row group, the magnetic sensitive component for measuring the target current and the corresponding sensing signal processing method are arranged in a matched manner, so that the measurement precision of high-frequency large current is improved, the suppression capability of an interference magnetic field is improved, and the signal-to-noise ratio of an effective measurement signal is increased. The current sensor provided by the invention is compact in structure, simple in manufacturing process, strong in electrifying capability and high in signal-to-noise ratio of a sensing signal, not only widens the measuring range of the current sensor, but also effectively improves the measurement precision of high-frequency large current, and expands the application range of the magnetic-core-free current sensor.

The invention relates to the technical field of power equipment operation and maintenance and state monitoring, in particular to an optical fiber transformer health state assessment method and system based on feature fusion. According to the invention, sampling signals of a plurality of optical fiber current transformers are collected and preprocessed; constructing a historical data matrix for principal component analysis, establishing a principal component space and calculating a square prediction error control limit value; constructing a simulated fault data set and projecting the simulated fault data set to a principal component space to calculate a square prediction error time sequence; performing wavelet packet decomposition on the square prediction error time sequence to extract a normalized energy feature vector, and training a one-dimensional convolutional neural network model; projecting the real-time sampling signal to a principal component space to judge whether the real-time sampling signal exceeds the limit or not; if yes, the health state level is output through the trained model. According to the invention, accurate grading and real-time online evaluation of the health state of the optical fiber transformer are realized.

A multiport current sensor is disclosed for measuring current. The sensor may include multiple CT or Rogowski coil segments or sections arranged in a closed loop configuration around a monitored phase line or other electrical conductor. An adjacent phase rejection circuit compares the magnitudes and / or phase angles of the voltage signals from the multiple coil segments. The adjacent phase rejection circuit may detect if a fault in an adjacent phase line or other electrical conductor is affecting the output signal of the current sensor by more than a threshold amount. The adjacent phase rejection circuit may additionally or alternatively indicate whether the measured values are valid for detecting a fault on the monitored phase line or other electrical conductor.

The invention provides a capacitive equipment resistive current taking-free PT signal measurement method suitable for a lightning arrester, and relates to the technical field of capacitive equipment resistive current measurement. The method comprises the following steps: deploying a non-contact electric field coupling sensing array; acquiring a multi-channel main induction signal and an equipment high-voltage side induction electric field signal; performing cascade filtering processing to obtain a filtering reference signal; dynamically correcting the phase deviation of the filtered reference signal to obtain a calibration reference signal; collecting a leakage current signal, and separating to obtain a resistive current component; and constructing a dielectric loss factor multivariable dynamic compensation model based on the deep belief network, embedding a capacitive equipment operation duration cumulative effect factor, and updating parameters in real time through an online learning algorithm to obtain a resistive current measurement result. High-precision measurement of resistive current is realized through an advanced technology, a model is established in combination with multiple environment parameters and equipment operation duration, adaptability is improved, and long-term accurate monitoring is guaranteed through online parameter updating.

The current sensor may include a current detection unit that outputs a detection signal corresponding to a magnetic field generated in a conductor when a measurement current flows, and a signal processing unit that processes the detection signal to output an output signal. The signal processing unit may include a memory unit that stores a plurality of current sensitivity parameters corresponding to a plurality of current sensitivities that can be set for the current sensor, and a sensitivity setting unit that sets the current sensitivity of the current sensor based on one of the plurality of current sensitivity parameters stored in the memory unit.

The invention provides a fault positioning method and system for an overhead line of a power distribution network, and a storage medium. The method comprises the steps of obtaining a plurality of fault traveling wave magnetic field signals; performing the following steps on any signal: performing phase-mode transformation on the signal, extracting and decomposing a line mode component, determining a modulus maximum point, and determining the time corresponding to the point as a first fault traveling wave head arrival moment; carrying out clock synchronization on the moment, and obtaining a wave head arrival moment of a second fault traveling wave; obtaining a to-be-detected fault point and a line parameter; based on the wave head arrival moments of the plurality of second fault traveling waves, extracting a head end arrival moment and a tail end arrival moment; and performing fault positioning on the overhead line of the power distribution network based on the head end arrival time, the tail end arrival time and the fault line parameters. According to the fault positioning method for the overhead line of the power distribution network, interference to normal operation of the power distribution network can be avoided, and high-precision non-intrusive positioning of the overhead line of the power distribution network is realized through the tunneling magnetoresistive sensor.

A turn-to-turn short-circuit fault diagnosis method and system for a reactor, and a medium. The method comprises: using operating data of a reactor to be tested to plot a target Bowditch curve of said reactor (101); calculating feature parameters of the target Bowditch curve (102); inputting the target Bowditch curve into a preset embedded target diagnosis network model, so as to extract a feature map of the target Bowditch curve (103); using the feature parameters and the feature map of the target Bowditch curve to generate feature information (104); and comparing whether the feature information is consistent with preset feature information, and on the basis of a comparison result, determining a fault state of said reactor (105). The method solves the technical problem of existing detection methods having poor sensitivity and being unable to detect incipient turn-to-turn short-circuit conditions of reactors in a timely manner, and realizes the real-time detection and determination of turn-to-turn short-circuit faults in dry-type air-core reactors.

The invention relates to a current measuring apparatus for redundant measurement of an electric current (I) with a low-resistance current measuring resistor (1) for current measurement according to the four-lead technique and with a magnetic field sensor (14). The invention provides that the electric current (I) to be measured in the current measuring apparatus is divided into a main current path with a main current (I1) and a secondary current path with a secondary current (I2), the main current path and the secondary current path together forming a parallel circuit. The low-resistance current measuring resistor (1) is arranged in the main current path and has the main current (I1) flowing through it, while the magnetic field sensor (14) is arranged in the secondary current path and measures the secondary current (I2).

The invention discloses a Rogowski coil current transformer and a current measurement system, and relates to the technical field of current measurement. The Rogowski coil current transformer comprises a Rogowski coil and a signal processing circuit; the differential signal is converted into a differential constant-current signal to be output based on a signal processing circuit; the signal processing circuit comprises an integral amplification module for performing integral amplification on the differential signal based on the integral amplification module; the first direct current component removing module is used for removing a direct current component in the voltage signal after integral amplification based on the first direct current component removing module; the signal adjusting module is used for realizing amplitude in-phase amplification and phase compensation; the single-ended to differential output module is used for generating symmetrical differential voltage signals based on the single-ended to differential output module; and the conversion module is used for converting the symmetrical differential voltage signal into a differential constant current signal and outputting the differential constant current signal based on the conversion module. And through the integral amplification module and the phase compensation module, the differential signal is accurately converted into the current signal, so that the current measurement result is more accurate.

The invention provides a fault early warning method and system for power transmission, transformation and distribution equipment, and relates to the technical field of power transmission, transformation and distribution equipment, and the method comprises the steps: carrying out the real-time monitoring of a transformer through a sensing module, and obtaining a real-time gas concentration-generation rate, a real-time temperature rise monitoring value, and a real-time integrated monitoring parameter; the method comprises the following steps: periodically sampling a current transformer and a voltage transformer of a power distribution network in a power system to obtain a current-voltage three-phase data sequence; state analysis is carried out, and a fault early warning instruction is triggered; performing feature backtracking on the sensing module to generate a transformer feature backtracking result; performing trend feature identification on the current-voltage three-phase data sequence to generate current-voltage three-phase data trend features; and performing fault early warning analysis to obtain a fault early warning result. According to the invention, the technical problem of low fault early warning accuracy of the transformer and the power distribution equipment in the prior art can be solved, and the technical effect of improving the early warning accuracy is achieved.

A method and a system for estimating the value of the voltage relating to an element under voltage ET. The system comprises alive element ET, a first capacitor C1.sx, a second capacitor 01.dx, a third capacitor 02.sx, a fourth capacitor 02.dx, a fifth capacitor CS.dx. The method involves the use of the electrical values obtained through this system.

A magnetic field sensor is provided for sensing a current flowing in a first direction divided in at least two conductor portions separated in a second direction perpendicular to the first direction. It includes at least a first sensing element and second sensing element and at least one integrated magnetic concentrator for sensing the magnetic field at respectively first and second positions in a region between the two conductor portions. The sensing elements are adapted in combination with the concentrator to sense the field with a highest sensitivity in a sensing direction perpendicular to the first direction, wherein the two positions are separated by a predetermined distance in a spacing direction perpendicular to the sensing direction.

The invention belongs to the technical field of direct current monitoring, and discloses a TMR-based open-close type direct current leakage current detection device, which comprises a magnetic core, one or more pairs of TMR sensors, a secondary side feedback coil and a main control circuit, and is characterized in that the magnetic core is provided with air gaps which are oppositely arranged; the TMR sensors are symmetrically arranged in the air gap; the secondary side feedback coil is wound on the surface of the magnetic core and forms closed-loop control with the main control circuit; the main control circuit comprises an acquisition feedback circuit, a secondary side detection circuit and a main control chip, the acquisition feedback circuit acquires signals of the TMR sensor under the control of the main control chip, generates feedback current and inputs the feedback current to the secondary side feedback coil, and the secondary side detection circuit is connected between the secondary side feedback coil and the main control chip. And the main control chip collects the secondary side voltage of the secondary side detection circuit and calculates to obtain the direct current leakage current. According to the invention, direct current leakage current detection with high sensitivity, low drift and strong anti-interference capability is realized under the open-close structure, and the requirements of a modern electric power system on continuity, safety and maintainability are met.

The present application relates to a device and method for surveying a power line-buried path, wherein the device includes a transmitter which selects a balanced / unbalanced voltage to output input and rectified output power as a current pulse in the form of an unmodulated pulse or a frequency-modulated signal when a current pulse signal is transmitted to a conductor (power line) of a public distribution network, and a receiver in which a plurality of magnetic field sensors inductively couple the pulse or the frequency-modulated signal within a near magnetic field distance to obtain a difference value in each direction to obtain a depth.

The invention relates to the technical field of power system automation, in particular to a node fault monitoring method and system for a direct current power distribution network, electronic equipment and a medium, and the method comprises the steps: injecting a difference frequency band signal into each measurement node on the direct current power distribution network, and obtaining an initial signal propagation feature set from each measurement node; distinguishing from the initial signal propagation characteristic set according to the shunting effect intensity of the distributed capacitance on the signal under each difference frequency band to obtain a high shunting frequency band subset and a low shunting frequency band subset; and a far-end fault frequency band subset is extracted from the high-shunting frequency band subset and the low-shunting frequency band subset, so that the fault position and type in the direct-current power distribution network can be calculated. By means of the mode, the technical problem that in the prior art, the fault positioning precision and the detection range of the direct-current power distribution network conflict with each other is solved, dynamic monitoring of the insulation defect propagation characteristics is achieved, and the fault positioning accuracy and the system reliability are improved.

The invention discloses a signal transmission circuit and system of an electronic mutual inductor and a working method, and belongs to the field of electric power protection and measurement and control. A voltage signal in the same proportion as the primary current signal is output to the voltage-current conversion circuit, and the voltage-current conversion circuit converts the voltage signal into a current signal I1 and outputs the current signal I1 to the constant-current voltage stabilizing circuit; the constant-current voltage stabilizing circuit generates a current signal I2, the current signal I2 supplies power to a pre-stage circuit after voltage stabilization, the current signal I2 and a current signal I1 are superposed to output a current signal I3 to the power supply and signal separation circuit, and the protection measurement and control device extracts the current signal I1 in the current signal I3 and converts the current signal I1 into a voltage signal to be collected. A voltage signal suitable for being collected by an AD chip is output through an active differential amplifier, and power is supplied to a constant-current voltage stabilizing circuit. The problems that signal attenuation is obvious and independent power supply is needed during long-distance transmission of the electronic transformer can be solved.

The invention discloses a self-adaptive control system based on an optical measurement 10KV outdoor mutual inductor, relates to the technical field of power distribution networks, and is used for solving the problem that errors exist in measurement output due to the fact that light intensity fluctuation and demodulation distortion are easy to generate. Fourier-wavelet conjoint analysis is adopted to extract dominant frequency, harmonic wave and mutation features to construct a fusion feature vector; comparing the feature with a historical normal sample, and outputting a demodulation distortion result according to a set feature domain judgment mechanism; and if abnormity exists, combining with a supervision signal containing position information, simulating the response of the virtual optical transformer, and constructing a spatial weighted error compensation function, thereby realizing multi-point difference fusion, dynamically correcting the output of the current optical transformer, and improving the stability, anti-interference performance and measurement precision of the optical transformer in a smart power grid measurement system.

A system includes: an inverter, wherein the inverter includes: a power module including: a flex layer including a gate trace, a first substrate, a second substrate including a source plane and a gate plane separated from the source plane by a full trench, the source plane including a step trench, and the gate plane including an electrical connection through the gate trace of the flex layer to a gate input connection of the power module, a semiconductor die disposed between the first substrate and the second substrate, the step trench formed in a portion of the source plane corresponding to at an edge of the semiconductor die, and the semiconductor die including a gate connected to the gate plane, and a sinter element disposed between the semiconductor die and the second substrate to connect the semiconductor die to the second substrate; a battery; and a motor.

This application relates to the field of electrical technologies, and provides a full even harmonic digital demodulation method based on full-phase analysis for a magnetic modulator. According to the full even harmonic digital demodulation method based on full-phase analysis for a magnetic modulator, standard voltage timing data output by the magnetic modulator is obtained when a DC calibration current with a set amplitude is fed into the magnetic modulator during calibration of the magnetic modulator; an output voltage sequence from full-phase Fourier analysis is established based on the standard voltage sequence data, and the output voltage sequence is preprocessed; comprehensive analysis is performed on the preprocessed output voltage sequence from full-phase Fourier analysis to obtain all standard even harmonic signals and current conversion coefficients.