995results about "Current measurements only" patented technology

The invention relates to the technical field of electrical measurement, and discloses a high-voltage switch cabinet contact wear on-line diagnosis method, which comprises the following steps: extracting multi-dimensional time-frequency domain characteristics of a high-voltage switch cabinet contact based on vibration and current signals of time sequence alignment to obtain contact motion characteristics; wear state matching is carried out on the features to obtain the wear degree of the contact, and then a preliminary wear diagnosis result is generated through wear label association; performing multi-factor coupling analysis in combination with historical operation times and environment temperature and humidity, evaluating a wear accumulation effect and an oxidation influence degree, and further generating a target wear diagnosis result; and finally, performing communication protocol packaging on the result to form a wear diagnosis data message, and outputting a maintenance suggestion instruction through instruction mapping. The reliability of contact diagnosis of the high-voltage switch cabinet can be improved.

The invention discloses a power distribution network cluster local control method and device, equipment and a medium. The method adopts a cloud edge end three-level collaborative architecture, and comprises the following steps: acquiring electrical parameters through a terminal equipment layer; constructing a graph model based on an electrical distance at the edge calculation layer; performing initial cluster division and issuing on the cloud computing layer; dynamically optimizing cluster division in an edge calculation layer through a lightweight deep reinforcement learning model; local control strategies such as voltage reactive power cooperative control, frequency active power balance control and fault rapid isolation and self-healing are executed based on the final division. The system comprises a terminal device layer, an edge computing layer and a cloud computing layer. According to the method, decoupling of global optimization and local real-time control is realized through cloud-side cooperation, the problems of high data processing pressure, high communication delay, expanded local fault influence range and the like of centralized control are effectively solved, and the real-time performance, reliability and disaster resistance of the power distribution network are remarkably improved.

The invention discloses a wear state and precision degradation prediction method for a ball screw drive system, and the method comprises the steps: employing a dual-label obtaining strategy, and constructing a'strong label + weak label 'mixed label sequence covering a whole life cycle; mapping a macroscopic working condition into a contact interface micromechanical state quantity, and converting a time domain signal into a travel domain / space domain stable sequence by adopting equal travel synchronous resampling, so as to weaken the influence of speed fluctuation on feature extraction; a double-flow physical guidance neural network is further constructed, and a physical attention mechanism is introduced to realize data feature and physical prior fusion; training is completed based on supervision loss and physical consistency constraint, and online recursive correction is carried out by using sparse laser interferometer calibration data. By adopting the method, the prediction deviation caused by equipment aging and working condition change can be reduced, and stable prediction of the wear state and the repeated positioning error degradation trend is realized.

The invention relates to the technical field of semiconductors, in particular to a high-temperature reverse bias test method, an electrostatic discharge protection structure and electronic equipment, and the method comprises the steps: providing the electrostatic discharge protection structure; determining an initial leakage current at the initial voltage, and determining an initial breakdown voltage at the initial current; heating the electrostatic discharge protection structure for a preset time at a preset temperature and a preset voltage, and determining a target leakage current of the heated electrostatic discharge protection structure under the initial voltage and a target breakdown voltage of the heated electrostatic discharge protection structure under the initial current; performing current change analysis on the initial leakage current and the target leakage current to obtain a current change result, and performing voltage change analysis on the initial breakdown voltage and the target breakdown voltage to obtain a voltage change result; and according to the current change result and the voltage change result, generating a high-temperature reverse bias test result of the electrostatic discharge protection structure. According to the invention, the reliability of the electrostatic discharge protection structure can be accurately evaluated.

A vehicle smart energy center includes an array of electronic fuses coupling a DC power bus to a plurality of loads and primary and supplemental electrical power sources. Electronic fuses self-diagnose health and report current, voltage and temperature data which is used by a smart energy center control module to manage the diagnostic, current, voltage and temperature data and electronic fuses for fault remediation whereby the vehicle remains operable through various smart energy center anomalies.

The invention provides a primary resonance elimination device of a power distribution network voltage transformer and a management and control method, and relates to the technical field of voltage transformer resonance elimination. The primary resonance elimination device comprises a primary resonance elimination resistor, a primary resonance elimination power electronic device, a standby resonance elimination resistor and a standby resonance elimination power electronic device; the primary resonance elimination resistor and the primary resonance elimination power electronic device are connected in series and then are connected in series between a neutral point of the power distribution network voltage transformer and a ground wire; the standby resonance elimination resistor and the standby resonance elimination power electronic device are connected in series, one end of the standby resonance elimination resistor and the standby resonance elimination power electronic device which are connected in series is connected with a neutral point of the power distribution network voltage transformer, and the other end is grounded; the primary resonance elimination device further comprises a current transformer and a temperature sensor; the temperature sensor is used for monitoring the temperature values of the primary resonance elimination resistor and the standby resonance elimination resistor; the current transformer is assembled on a line where the primary resonance elimination resistor and the standby resonance elimination resistor are grounded together and used for monitoring the value of current flowing through the primary resonance elimination device.

The invention provides a miniature breaker with a novel current detection assembly. The miniature breaker with a novel current detection assembly includes a breaker main body and a novel current detection assembly, wherein the novel current detection assembly includes a Hall magnetic field sensor, a current detection wire, and a Hall magnetic field sensor detection circuit board; a detection Hallmagnetic field sensor in the Hall magnetic field sensor without a magnetic core is used to detect a magnetic field which is generated from the current detection wire, and an environment Hall magneticfield sensor in the Hall magnetic field sensor is used to detect a background magnetic field in the environment; and the difference values detected by the detection Hall magnetic field sensor and theenvironment Hall magnetic field sensor are processed to obtain the magnitude of the current, so as to eliminate the interference of the background magnetic field and enable the detected current to bemore accurate. Therefore, the breaker with the novel current detection assembly can accurately perform opening and closing.

The invention relates to the technical field of data processing, in particular to a linear motor positioning precision dynamic test and analysis method, which comprises the following steps of: controlling a linear motor to perform full-stroke reciprocating constant-speed scanning, synchronous high-frequency acquisition of positions, current instructions and speed data; resampling according to a fixed position interval space to generate forward and reverse current and speed sequences; utilizing the characteristic that the friction force directions are opposite to counteract the friction component, calculating the resistance characteristic value of each position by combining the two-way speed stability weight, and constructing a resistance topographic map; the magnetic cogging effect and the mechanical anomaly are decoupled through the space gradient and the statistical deviation, and the mechanical anomaly saliency is determined; and a current feed-forward compensation table is generated and written into a driver, and a fault is marked for a saliency threshold exceeding position, so that dynamic testing and analysis of positioning precision are realized. According to the method, the resistance component is accurately separated by combining the current algebraic operation and the bidirectional speed weight, the topographic map is constructed to decouple the tooth socket and the installation abnormity, and the dynamic test precision and the diagnosis practicability are improved.

The invention relates to a fault detection method and device of a converter transformer, computer equipment and a medium. The method comprises the steps of obtaining a vibration time-domain waveform signal and a current time-domain waveform signal of a winding of the converter transformer in a preset time period, determining vibration frequency response data of the winding according to the vibration time-domain waveform signal and the current time-domain waveform signal, and determining the current time-domain waveform signal of the winding according to the vibration frequency response data and preset reference vibration frequency response data. And determining a fault detection result of the winding. By adopting the method, the timeliness of fault detection of the converter transformer can be improved.

The invention relates to the technical field of power monitoring and alarming, and discloses a current alarming method based on a microcontroller. According to the method, multi-channel current signals of a target circuit are collected by using an adaptive sampling window, and the signals are dynamically intercepted to generate an original current data set, so that signal loss is effectively avoided, and current signal information is comprehensively obtained. Time domain-frequency domain conjoint analysis is carried out on an original current data set, fundamental component and harmonic component characteristic values of current signals are deeply extracted, and sensitivity to signal abnormity is improved. And establishing a current state feature vector according to the feature values, and matching a current circuit operation mode in combination with a preset working condition classification template so as to realize accurate identification of the circuit operation state. And loading a corresponding current threshold rule base based on a matching result, and carrying out threshold dynamic correction on the real-time current signal by adopting a sliding window mechanism, so that the alarm accuracy is improved.

A current sense amplifier measures a voltage drop in a drive transistor LS to measure the current flowing through the drive transistor LS. The current sense amplifier includes a preamplifier pre-amp, to which a voltage across the drive transistor LS is inputted, and which obtains a positive output and a negative output corresponding to a voltage difference of the inputted voltage across the drive transistor; and a switch sw, which connects the input end of a common mode voltage vcm and the negative output, the common mode voltage vcm serving as the operation reference of the preamplifier pre-amp. A change of the positive output caused by turning on / off the switch sw can be detected.

The invention discloses a cable warning pile and method for monitoring the state of an intermediate joint of a directly-buried power cable, relates to the field of state monitoring of power equipment in power engineering, and aims to solve the problems of single-parameter acquisition, large interference influence, non-objective evaluation and non-visual early warning in the existing monitoring technology. The warning pile is vertically buried at the position 0.3-0.8 m above a connector, temperature, partial discharge, vibration and environment data are synchronously collected through multiple sensors such as an optical fiber temperature sensor and a high-frequency current transformer, after data alignment, abnormal value elimination, filtering and integral preprocessing, the real temperature of the connector is restored through an environment and vibration coupling correction model, and the real temperature of the connector is obtained. And extracting a partial discharge peak factor and an average discharge capacity core characteristic. An index weight is determined based on an entropy weight method to construct a health degree evaluation model, operation states are divided into normal, attention, early warning and fault classes, hierarchical visual warning is realized through a three-color indicating lamp group and a buzzer, and the model is dynamically updated in combination with maintenance data every three months.

The invention provides a cable terminal assembly and a cable terminal abnormal heating monitoring system, and relates to the technical field of power cables, and the method comprises the steps: collecting the operation data and environment auxiliary data of a conductor connection point, an insulating layer, a shielding layer and a grounding terminal in a preset monitoring period, and carrying out the time alignment processing, and obtaining the standardized multi-dimensional time series data. Time domain features are calculated, frequency domain features are extracted through fast Fourier transform, and the time domain features and the frequency domain features form single-dimensional time sequence features. Constructing a data association matrix, screening strong association data pairs according to Pearson's correlation coefficients and mutual information values, and calculating dynamic covariance by adopting a sliding window method to form cross-dimension association features. And splicing the two types of features and performing dimension reduction to obtain fusion feature vectors, splicing the fusion feature vectors of the current monitoring period and the previous monitoring period and the next monitoring period into a time sequence input sequence, and inputting the time sequence input sequence into an improved LSTM model to output an abnormal probability value, thereby realizing abnormal heating monitoring of the cable terminal.

The invention discloses a grounding resistance thermal-electric coupling prediction method and system suitable for various soil scenes. The method comprises the following steps: acquiring an electrode parameter, a soil parameter, a grounding fault parameter and initial temperatures of an electrode and soil; calculating an electrode current and a soil leakage current of the time step based on the electrode and soil resistivity of the time step; based on the electrode current and the soil leakage current of the time step, calculating the electrode temperature, the soil radial temperature distribution and the grounding potential rise of the time step by adopting a finite difference method; based on the electrode temperature and soil radial temperature distribution of the time step, updating the electrode resistivity and the soil resistivity of the time step + 1; if the end of the fault time is not reached, returning to continuously calculate the temperature of the electrode and the soil at the time step + 1; otherwise, outputting the electrode temperature and soil radial temperature distribution of each time step. According to the invention, thermal-electric dynamic coupling is considered, and accurate evaluation of the performance of the grounding system is realized.

The invention discloses a manganin current sampling on-line self-correction method and system of an intelligent fusion terminal. The method and system are applied to the intelligent fusion terminal comprising a manganin diverter assembly. The assembly comprises a working resistor connected in series in a main current loop and a reference resistor for monitoring, the working resistor and the reference resistor are thermally coupled, and the reference resistor does not bear working current during normal sampling. The method comprises the following steps: respectively measuring real-time resistance values of the two resistors in a silent working window period; calculating a current actually measured resistance value ratio; obtaining an ideal resistance value ratio of the two in a stress relaxation-free ideal state; obtaining a correction resistance value ratio variable quantity according to a difference value between an actual measurement ratio and an ideal ratio; and finally, calculating a correction coefficient and updating a sampling channel parameter so as to compensate resistance drift caused by long-term electric thermal stress and realize automatic correction of subsequent current sampling. According to the method, on-line and high-precision self-correction independent of an external reference is realized, and the problem of long-term stress relaxation of a manganese-copper material is effectively solved.

A measurement circuit including a power supply, a load output terminal connected to the power supply and connected to a system ground via a load, an amplifier comprising power terminals connected to the power supply, and an output terminal connected to the system ground via a measurement resistor, the amplifier is configured to supply current from the power supply to the load via the measurement resistor and the system ground producing a voltage across the measurement resistor that corresponds to the supply current through the load.

The invention discloses an inverter IGBT intelligent fault diagnosis method based on a multi-scale attention network, and relates to the technical field of power electronic equipment fault diagnosis. A three-phase current signal of a three-level NPC inverter is collected and preprocessed; multi-dimension fault features of the current signals are extracted in parallel through multi-scale depth separable convolution; a scale-aware efficient attention mechanism is introduced to carry out weighted optimization on each scale feature, and key fault information is strengthened; and outputting a fault diagnosis result through a feature fusion and classification network, and performing INT8 quantization processing on the model to adapt to an embedded deployment scene. The method has the advantages of being high in multi-scale feature capturing capacity, high in diagnosis precision and light in model weight, and can meet the dual requirements of industrial application for real-time performance and accuracy.

A commercial vehicle rear brake lamp fault diagnosis method and system and a storage medium, and the method comprises the steps: determining the change characteristics of the working current of each brake lamp along with the working temperature based on the working current and working temperature of each brake lamp collected in real time; the load type of each brake lamp is determined according to the change characteristics; the load type comprises a halogen bulb and an LED module; presetting a plurality of diagnosis parameters and acquiring parameter values of the diagnosis parameters in real time; based on a preset weight coefficient of each diagnosis parameter, performing weighted fusion calculation on each parameter value to obtain a fault confidence coefficient of each brake lamp; and performing real-time fault diagnosis on each brake lamp according to each parameter value of each brake lamp and the fault confidence in combination with a diagnosis strategy corresponding to the load type of each brake lamp. The technical problem that the fault misjudgment rate is high under complex working conditions due to the fact that a preset mode is mainly adopted in the prior art, the load class of the rear brake lamp of the trailer is configured with a fixed diagnosis threshold value, and fault judgment is carried out only depending on a single parameter is solved.

A fault diagnosis method for a transmission chain based on joint entropy enhanced sparse learning using a zero sequence current includes the following steps: data acquisition and preprocessing; establishment of a rotating machinery fault diagnosis model for sparse feature learning of a zero sequence current; and obtaining of a diagnosis result by inputting the preprocessed zero sequence current data to the trained rotating machinery fault diagnosis model. The fault diagnosis method for a transmission chain based on joint entropy enhanced sparse learning using a zero sequence current can extract a weak fault feature in a current signal automatically and efficiently without relying on traditional signal processing techniques and diagnosis experience, and has good robustness for signals containing noise.

The invention discloses a lightning arrester leakage current monitoring method, equipment, a product and a medium, and relates to the technical field of lightning arrester monitoring. The method is based on a discrete time domain voltage sequence and a total leakage current sequence of a target lightning arrester; obtaining a voltage sub-band signal sequence and a current sub-band signal sequence; classifying each voltage sub-band signal sequence into a steady-state harmonic component set and a dynamic transient component set based on an energy stability index and a center frequency index of the voltage sub-band signal sequence; obtaining a first capacitive current time domain component based on the voltage sub-band signal sequence in the steady-state harmonic component set and the corresponding current sub-band signal sequence; obtaining a second capacitive current time domain component based on the voltage sub-band signal sequence in the dynamic transient component set; determining a compensation capacitive current sequence based on the first capacitive current time domain component and the second capacitive current time domain component; and determining a target resistive current sequence based on the total leakage current sequence and the compensation capacitance current sequence. And the accuracy of monitoring the leakage current of the lightning arrester is improved.

The application relates to a cable current correction measurement method based on an open-loop structure TMR sensor, which comprises the following steps: S1, installing TMR sensors S1 and S2 on an open-loop mechanical structure; S2, obtaining a magnetic field strength vector of a magnetic field excited by a cable current at positions of the sensors S1 and S2, and obtaining a magnetic field strength component in the direction of a sensor sensitive axis through vector operation; S3, obtaining a mathematical equation about unknowns introduced by only the sensor S1; S4, solving the nonlinear mathematical equation established in the step S3 to obtain a cable current value; S5, judging whether the obtained current value meets a preset condition, if yes, storing the current value, otherwise, continuing to perform optimization calculation; S6, discarding unreasonable current values after a sample capacity N is reached; S7, fitting sample current values by using an interpolation polynomial, and finally obtaining an average current value. Compared with the prior art, the application has the advantages that the cable current value can be effectively calculated.

The invention discloses a motor sampling current bias calibration method and device, electronic equipment and a storage medium, and belongs to the technical field of permanent magnet synchronous motor control. The method comprises the following steps: sampling a current signal of a motor before the motor is started to obtain a first sampling current bias; when the motor is started and is in a target state, the current signal of the motor is sampled to obtain a second sampling current bias, and the target state is that a three-phase upper bridge arm power device of the motor is switched on and a three-phase lower bridge arm device of the motor is switched off; determining an offset threshold value of the current signal of the motor; according to the first sampling current bias, the second sampling current bias and an offset threshold value, whether current sampling offset happens to the motor or not is judged; according to the technical scheme of the invention, under the condition that the current sampling offset of the motor occurs, the first sampling current bias is adjusted to obtain the target sampling current of the motor, so that the sampling current of the motor is closer to a real value, the current of the motor is dynamically calibrated in real time, the bias error is reduced, and the accuracy of motor control is improved.

The present disclosure relates to a current sensing circuit comprising: a current sensing (CS) pin; a first switch; the second switch is connected between the first switch and the ground; a plurality of resistors connected between the second switch and the ground; and a resonant circuit; wherein the plurality of resistors is configured to detect a positive overcurrent and / or a negative overcurrent in the CS pin.

The application discloses a kind of photovoltaic module dark current testing device, it is related to dark current detection device technical field, the detection device includes workbench, workbench is placed with cabinet, multiple drawers are slidably installed on cabinet, multiple current detection modules are evenly installed in drawer, workbench is installed with host computer, host computer is electrically connected with current detection module, temperature and humidity control assembly is provided on the cabinet, temperature and humidity control assembly adjusts the temperature and humidity inside cabinet, when drawer is completely pushed into cabinet, darkroom for accommodating photovoltaic module is formed, meet the lightless environment requirement of photovoltaic module dark current test, improve detection precision, host computer as the overall control unit of device forms the closed-loop control of "instruction issue-data acquisition-result feedback", display screen connected with host computer real-time display test state, real-time parameter and test result, replace artificial reading judgment, reduce error.

The present embodiments relate to an electric current sensor, a steering control device, and a method for detecting an electric current. An electric current sensor may comprise: a conductive part through which an electric current flows; a detection unit for detecting a magnetic field generated by the electric current flowing through the conductive part; a first generation unit for generating a first electric current sensing value on the basis of the resistance included in the conductive part; and a second generation unit for generating a second electric current sensing value on the basis of the magnetic field detected through the detection unit.

A system and a method of calculating the current consumption of components in a vehicle are disclosed. The system may include a controller and a memory stored thereon instructions for executing the method. The method comprising: receiving from at least one magnetic flux sensor located at a known location in the vehicle, a magnetic flux pattern at various frequencies, indicative of the magnetic field at the location; identifying at least one first magnetic flux maximum at a first frequency corresponding to a first component of the vehicle; and calculating a first current consumption of the first component based on the at least one first magnetic flux maximum.

The invention relates to an energy storage converter, an energy storage system and electric equipment, and relates to the technical field of energy storage. The energy storage converter comprises a box body, a support and a Hall current sensor, the support comprises a bearing structure and a fool-proof structure which are connected, the bearing structure is connected with the box body, the fool-proof structure comprises a second fool-proof part, the Hall current sensor comprises a first structure and a second structure, the first structure is detachably connected with the bearing structure, and the first structure is provided with a detection hole. The second structure is provided with a wire plugging port, the first structure comprises a third surface and a fourth surface which are opposite in the plugging direction of the wire plugging port, and the second fool-proof part is located on the side, opposite to the fourth surface, of the third surface. The energy storage converter has a good fool-proof installation effect in the aspect of installation of the Hall current sensor so as to ensure that the installation direction of the Hall current sensor is correct.

An integrated circuit (100A) includes an H-bridge circuit (102) having a first output node (OUT1) for coupling to the high-side terminal of an inductor (103) and a second output node (OUT2) for coupling to the low-side terminal of the inductor. A current-sensing FET (SNS-DRV) is coupled between a current source (110) and a lower supply voltage to provide a reference current (Itrip), including a peak current limit at the sensing node. A current-sensing comparator (104) has a first input coupled to the sensing node, a second input coupled to the second output node, and an output (113) coupled to send an output signal to a driver control circuit. A FET linearity detection circuit (112) is coupled to receive the gate voltage (LS2) of an active low-side power FET (Mls2) and has an output (CMP EN) coupled to enable the current-sensing comparator when the active low-side power FET operates in the linear region.

The invention discloses a wiring detection method, system and device for a photovoltaic string and a storage medium. In the scheme, a preset current interference signal is injected into the input positive end of a target converter connected with a target photovoltaic string in a photovoltaic power supply system; current acquisition signals obtained after current acquisition is carried out on the input ends of all converters except the target converter in the photovoltaic power supply system are obtained, and whether a preset current interference signal exists in the current acquisition signals of any converter except the target converter in the photovoltaic power supply system or not is judged; and determining whether wiring abnormity exists in the target photovoltaic string or not. Whether the preset current interference signal flows to the input end of the converter except the target current through the wrong wiring position or not is detected to determine whether the wiring abnormity exists in the target photovoltaic string, so that the photovoltaic power supply system can be protected in time when the wiring abnormity exists in the photovoltaic string in the photovoltaic power supply system.