533 results about "Voltage transducers" patented technology

The invention discloses a DC voltage divider parameter anomaly detection method based on harmonic characteristics, and the method comprises the steps: deploying an isolation type voltage sensor at a bus of a DC power transmission system, carrying out the voltage sampling through combining with an ADC, carrying out the data buffering and preprocessing, extracting a fundamental wave component and a target harmonic component through the fast Fourier transform, and calculating the harmonic distortion rate. And constructing a low-voltage arm capacitance and harmonic distortion rate model based on a voltage divider secondary circuit equivalent circuit and an energy distribution principle, and calibrating the low-voltage arm capacitance and harmonic distortion rate model. And designing a multi-objective optimization scheduling algorithm based on energy storage capacity and capacitance characteristics, and realizing dynamic power distribution and harmonic suppression of the system. And after abnormal triggering, the system automatically loads a capacitance compensation coefficient, adaptively adjusts algorithm parameters in combination with a measurement loop PI control link, reduces a harmonic amplification effect, and ensures that a measurement error is within an acceptable range. Harmonic monitoring precision and capacitance compensation optimization capability of the direct-current power transmission system are effectively improved, and stable operation of the system is guaranteed.

The invention discloses a driver controller detection system, which comprises an acquisition module, an acquisition module, a processing module, an identification module, a judgment module, an analysis module and a generation module, the acquisition module captures contact information and electromagnetic interference data of contacts in real time by means of a high-dynamic voltage sensor and a broadband EMC probe; the acquisition module is triggered by a locomotive signal and records dynamic working condition data; the processing module aligns the data, performs denoising and extracts fault parameters; the identification module scans the voltage waveform and judges the transient contact failure; the judgment module monitors EMC data and compares an instruction position, and judges misoperation; the analysis module analyzes fault association, judges a composite type and triggers an alarm; the generation module generates a detection report and a log. According to the system, a multi-dimensional monitoring network is constructed under a dynamic working condition, data reliability is guaranteed, faults are accurately identified, a compound fault source is positioned, and the safety and stability of locomotive operation are improved through risk grading early warning and automatic reporting.

The invention discloses an output voltage detection method and system based on an aviation power supply, and relates to the technical field of aviation power supply voltage detection. A differential voltage sensor is connected to the output end of an aviation power supply, a high-frequency suppression capacitor is connected in parallel, the sampling rate of 20-50 times of the working frequency is set according to the type of the power supply, and the signals are collected and converted into analog voltage signals; the analog signal is subjected to two-stage filtering, is amplified to 0-5V through an instrument amplifier, and is converted into a digital voltage sequence through a 16-bit ADC (Analog to Digital Converter); calculating AC power supply effective value, peak value and other parameters, DC power supply average value, ripple coefficient and other parameters; comparing the characteristic parameters with a preset threshold value, determining that the characteristic parameters exceed the threshold value and recording related information; and a detection result is transmitted to a monitoring terminal through an RS485, data is locally stored, and a switching value is output to an alarm device when the data is abnormal. The method adapts to aviation power supply load fluctuation and environment temperature change, detection precision is high, data transmission and storage are safe, abnormity is accurately identified and early warning is carried out in advance, and aviation power supply operation and maintenance reliability and efficiency are improved.

In order to diagnose the degree of deterioration of a secondary battery (2), a device (1) comprising a sensor unit (11) including a voltage sensor (15), and a control device (10) having a mathematical model storage unit, a history data storage unit, and a computation function, is electrically connected to the secondary battery (2). Numerical data reflecting a measurement value of internal resistance is stored in the history data storage unit in association with the time axis. A mathematical model, which is defined so as to derive a parameter having a value that varies according to the numerical data at each of a plurality of time points in a predetermined period on the time axis, and the length of said period, is saved in the mathematical model storage unit. The control device (10) derives the parameter by computation in which numerical data accumulated within a period from a specific time point in the past to the most recent time point is applied to the mathematical model, and estimates the degree of deterioration of the secondary battery (2) on the basis of the parameter.

The invention discloses a radio frequency voltage sensor and a plasma source system. The radio frequency voltage sensor comprises a signal acquisition module and a signal processing circuit. The signal processing circuit comprises a rectangular wave pulse detection module, a signal conversion module, a peak holding module and an operation output module; the input end of the rectangular wave pulse detection module receives a pulse synchronization signal; the signal conversion module is connected with the output end of the signal acquisition module; the first input end of the peak holding module is connected with the output end of the signal conversion module, and the second input end of the peak holding module is connected with the output end of the rectangular wave pulse detection module; and the operation output module is connected with the output end of the peak holding module. According to the radio frequency voltage sensor and the plasma source system provided by the invention, the peak voltage corresponding to the single-stage pulse can be accurately detected, the peak voltage corresponding to the multi-stage pulse can also be stably detected, the output is prevented from jumping to zero during the pulse closing period, and the stability and practicability of measurement are improved.

An adaptive IoT power plug system for intelligent load management and remote control, consisting of: a power plug housing configured to be inserted between a power outlet and an electrical appliance; an embedded sensor array comprising at least one voltage sensor, at least one current sensor, and at least one power sensor and configured to continuously monitor the electrical parameters of the connected device; a microcontroller unit (MCU) operatively coupled to the sensor array and configured to execute a load prioritization technique that dynamically determines power allocation based on real-time consumption data and user-defined priority levels for one or more connected loads; a semiconductor switching module electrically connected to the MCU and configured to selectively interrupt or modulate the power supply to the connected device based on commands from the load prioritization technology; a wireless communication module integrated into the MCU for bidirectional data exchange via at least one wireless protocol selected from Wi-Fi, Zigbee or Bluetooth Low Energy; a user interface that can be accessed remotely via a mobile or web application and enables the configuration of load priorities, real-time monitoring of power consumption, scheduling of device operation, and manual override of switching commands; and a power management subsystem including a power harvesting module configured to provide supplemental power to the system's electronic components, thereby reducing dependence on the main power source; The system autonomously adjusts the power distribution between multiple connected devices to load fluctuations and predefined user priorities in order to optimize energy efficiency and prevent overloading of the circuit.

The invention relates to the technical field of power system fault monitoring, and discloses a measurement switch fault identification and early warning system, which comprises a signal acquisition unit, a feature analysis unit, a fault judgment unit and an early warning trigger unit. The signal acquisition unit acquires a potential fluctuation sequence and an exciting current pulse sequence through a contact voltage sensor and a coil current transformer; the feature analysis unit extracts time-frequency domain and statistical domain feature groups by means of wavelet transform and moment function analysis; the fault judgment unit generates a fault judgment vector by adopting kernel principal component analysis fusion features; and the early warning triggering unit triggers four-level early warning by using dynamically updated grading threshold values (including historical reference values and online dynamic values). According to the system, through multi-modal feature fusion, dynamic threshold adjustment and a grading early warning strategy, accurate identification and grading early warning of measurement switch faults are achieved, the fault identification accuracy and early warning timeliness are improved, and the system is suitable for the field of electric power and industrial automation.

A charging communication module and a charging method of an electric vehicle are provided. The charging communication module includes a voltage sensor that senses a voltage level of a signal line to generate a sensing result, a controller that generates first control information based on the sensing result and converts information of a first communication format provided from the signal line into information of a second communication format, and a switch device that electrically connects or disconnects the signal line with or from the controller based on the first control information.

The invention provides a power storage device and a current interruption method. A power storage device is provided with a power storage device module, a voltage sensor, a current sensor, an explosion fuse, and a controller. The voltage sensor detects a voltage value of the power storage device module. The current sensor detects a value of a current flowing through the power storage device module. The explosion fuse is connected in series with the power storage device module. In the controller, a voltage condition and a current condition are set. The voltage condition is predetermined according to a voltage value detected by the voltage sensor. The current condition is predetermined according to the current value detected by the current sensor. The controller operates the explosion fuse when both a voltage condition and a current condition are satisfied.

The invention provides a DC Buck converter voltage and current sensor fault-tolerant control system, which comprises the following steps: establishing a time-varying state space model of a DC Buck converter, and dynamically reconstructing a parameter matrix by the time-varying state space model according to the real-time change of a duty ratio; the time-varying augmentation fault estimator is used for monitoring faults of a voltage sensor and a current sensor in real time, the fault estimator is implemented through a model reference adaptive filter, a Buck converter is adopted to construct a reference model in a healthy state, and efficient real-time diagnosis and correction can be achieved through the faults of the voltage sensor and the current sensor of the Buck converter. And various types of sensor faults such as a jump fault, an offset fault, a stuck fault, a high-frequency fault and a gap fault can be effectively estimated. For measurement distortion of the voltage sensor and the current sensor, the fault estimator can provide comprehensive evaluation information of fault types and fault severity.

An electronic device may include a transmitter coupled to an antenna over a signal path that runs through a front end module. The front end module may include a power amplifier disposed on the signal path. The front end module may include first, second, and / or third signal attenuators disposed on the signal path between an input of the amplifier and the transmitter. The front end module may include a voltage sensor that measures a bias voltage of the amplifier, a temperature that measures a temperature of the amplifier, and / or an impedance sensor that measures an impedance of the antenna. The first signal attenuator may be adjusted based on the measured bias voltage, the second signal attenuator may be adjusted based on the measured temperature, and the third signal attenuator may be adjusted based on the measured impedance to mitigate changes in the amplifier as operating conditions change over time.

The utility model relates to the field of integrated circuit chips, in particular to an integrated circuit chip burning device with a voltage monitoring mechanism, which comprises a burning machine body, a main body for burning an integrated circuit chip, and a display controller for checking the burning condition of the integrated circuit chip. According to the utility model, a burner station is arranged; a voltage monitoring point; a voltage sensor; a first voltage monitor; when an integrated circuit chip is placed at the burner station for burning, a voltage monitoring point in the burner station transmits the voltage condition of the integrated circuit chip to the voltage sensor through the first external connection wire, and then the voltage condition is transmitted to the first voltage monitor through the voltage sensor. And after the integrated circuit chips are burnt and before the materials are taken, the portal frame drives the second voltage monitor and the power supply point measuring head to reach the position above the integrated circuit chips in the burner station so as to carry out one-to-one point measurement on the integrated circuit chips.

The invention relates to the technical field of transformers, in particular to an intelligent online monitoring method and system for operating parameters of a transformer. Firstly, a transformer fault prediction model based on a neural network model is constructed and trained, and then a transformer real-time box body temperature collected by a temperature sensor, a transformer real-time input voltage and a transformer real-time output voltage collected by a voltage sensor, and a transformer real-time working audio collected by a sound sensor are obtained; judging whether the transformer is abnormal or not based on the parameters and the real-time oil liquid height ratio of the transformer collected by the oil level sensor; when an abnormality occurs, determining an abnormality risk level of the transformer based on transformer body parameters, a transformer real-time box body temperature, a transformer real-time input voltage, a transformer real-time output voltage, a transformer real-time working audio, a transformer real-time oil height ratio and the trained transformer fault prediction model; and the abnormal risk level is sent to the monitoring terminal.

The invention relates to the field of fault diagnosis, discloses a brushless motor controller fault diagnosis method and system, and is used for providing powerful guarantee for reliable operation of a brushless motor controller. The method includes the steps that three-phase current and bus voltage signals are collected in real time through current and voltage sensors, and a characteristic frequency interval is extracted; the method comprises the following steps: extracting topological invariants by adopting a fractional order derivative and a continuous coherence algorithm, describing mechanical damage characteristics, taking the topological invariants and the mechanical damage characteristics as inputs, simulating motor system dynamic behaviors by virtue of a quantum state evolution model, calculating phase space trajectory divergence, triggering a graded fault decision according to the divergence, and accurately distinguishing parametric, mechanical, winding and pre-out-of-step faults. And outputting the highest-level fault instruction according to the priority and executing protection during multi-fault concurrence. The method comprehensively and accurately extracts fault features, has a dynamic adaptive capability, can predict a fault trend and effectively process a multi-fault concurrency condition, provides a solid guarantee for reliable operation of a brushless motor controller, and is suitable for multiple fields.

A power storage module which includes a plurality of batteries connected in series and is capable of controlling operation of a heater on the basis of a battery with the lowest battery temperature is provided. The power storage module includes a first battery and a second battery connected in series, the heater, and a control circuit; the heater is provided close to the first battery and the second battery and is electrically connected to an IC included in the control circuit; the control circuit includes a first voltage sensor that senses a voltage of the first battery, a second voltage sensor that senses a voltage of the second battery, and a current sensor that senses a current flowing through the first battery and the second battery; and in charging the first battery and the second battery, the heater is turned on by a signal from the IC in the case where a differential voltage between a first peak voltage of dQ / dV calculated from a detection value of each of the first voltage sensor and the current sensor and a second peak voltage of dQ / dV calculated from a detection value of each of the second voltage sensor and the current sensor is higher than or equal to 5 mV.

In disclosed embodiments, a voltage sensor of a computing device is configured to determine a voltage level of a supply voltage provided by a power supply to processor circuitry. Comparator circuitry may perform a comparison operation that compares the determined voltage level to a threshold. A temperature sensor may determine a temperature of at least a portion of processor circuitry. Power control circuitry may initiate a power management operation to adjust voltage margin based on a result of the comparison operation. Additionally, the power management circuitry may control the comparator circuitry to impose an offset on the comparison operation. The power control circuitry may determine a magnitude of the offset based on a pre-determined effect of the determined temperature on voltage margin parameters for at least a portion of the processor circuitry.

The invention discloses a battery active safety early warning method and a related device, and belongs to the technical field of battery safety. The method comprises the following steps: monitoring and collecting expansion force, voltage and temperature data of a battery in real time; inputting the expansion force, the voltage and the temperature data of the battery into a pre-established multi-factor comprehensive early warning model to obtain an early warning grade; and taking corresponding early warning and fire fighting measures according to the early warning level. The device comprises a data acquisition module, a main control unit, an alarm device and a fire fighting device, the data acquisition module comprises an expansive force sensor, a voltage sensor and a temperature sensor which are mounted on a battery; and the main control unit is used for judging the working state of the battery according to the expansion force, voltage and temperature data acquired by the data acquisition module and controlling the alarm device and the fire fighting device to work. According to the invention, timely early warning and measure taking under the abnormal state of the battery can be ensured, and the safety of the battery system is improved.

Aspects of the disclosure are directed to voltage sensing for safety-critical applications. In accordance with one aspect, the disclosure includes a multi-phase ring oscillator (RO) configured to operate in a first voltage domain; a frequency counter coupled to the multi-phase RO, the frequency counter configured to accumulate a plurality of phase cycles from the multi-phase RO over a time duration to generate a digital count word; an alarm processor coupled to the frequency counter, the alarm processor configured to receive an alarm state signal from the frequency counter; and a heartbeat detector coupled to the multi-phase RO, the heartbeat detector configured to operate in a second voltage domain and configured to detect a periodic recurrence of a heartbeat pulse to determine an integrity of the sensor function as a whole and alarm state signal in particular.

The invention belongs to the technical field of power grids, and particularly relates to a hydrogen fuel cell grid-connected inverter fault test and ride-through method. Comprising the following steps: S1, simulating three-phase symmetrical voltage drop, inter-phase voltage drop and single-phase voltage drop of a power grid through a low-voltage fault generation device; s2, collecting the voltage of a power grid through a high-precision voltage sensor, and when the voltage of the power grid drops, judging whether the system needs to carry out low-voltage ride through at the moment according to a distributed energy low-voltage ride through curve; and S3, when the system needs to carry out low-voltage ride-through, a dual-second-order generalized integrator pre-filtering phase-locked loop (DSOGI-PLL) is combined with grid-connected point voltage full-feedback compensation, negative-sequence components generated by symmetric and asymmetric drop of the power grid voltage are eliminated, and current impact suppression and negative-sequence current elimination are realized. The problem of power grid synchronization under the condition of power grid voltage drop is finally solved.

The invention relates to the technical field of power equipment state monitoring, and provides a switch cabinet state intelligent detection method and system based on multi-sensor fusion, and the method comprises the steps: obtaining state data corresponding to a switch cabinet through a temperature sensor, a vibration sensor, a partial discharge sensor, a current sensor and a voltage sensor which are disposed in the switch cabinet; inputting the obtained state data into a preset data preprocessing module, performing denoising processing and normalization processing on the state data, obtaining preprocessed multi-source data, and generating a multi-dimensional feature vector; inputting the multi-dimensional feature vector into a preset hierarchical fusion model, carrying out feature layer fusion on the multi-dimensional feature vector to obtain an intermediate fusion feature, combining historical operation data and historical fault data of the switch cabinet, carrying out decision-making layer weighted fusion on the intermediate fusion feature to generate a comprehensive state feature vector, and outputting the comprehensive state feature vector. And triggering a corresponding early warning system or a fault alarm system.

A battery diagnosis apparatus includes a voltage sensor to generate a voltage signal indicating a battery voltage of a battery, a current sensor to generate a current signal indicating a battery current flowing through the battery and a control circuit. The control circuit determines a measured capacity curve over a predetermined set voltage range based on the voltage signal and the current signal collected at each unit time for a constant current period during which the battery is charged or discharged at a predetermined current rate over the set voltage range. The control circuit determines a measured differential curve over the set voltage range based on the measured capacity curve. The control circuit determines whether a negative electrode tortuosity of the battery abnormally increased by comparing the measured differential curve with a reference differential curve.

Certain aspects of the present disclosure generally relate to electronic circuits and, more particularly, to techniques and apparatus for signal amplification. One example apparatus generally includes: a current sensor configured to sense a current associated with an amplifier; and a voltage sensor configured to sense a voltage associated with the amplifier. The apparatus may also include a logic circuit configured to: detect a first over-current condition associated with the amplifier based on the current; detect a first over-voltage condition associated with the amplifier based on the voltage; and adjust an amplification gain to yield a first adjusted gain level for an input signal based on detection of the first over-current condition and the first over-voltage condition, wherein the amplifier is configured to amplify the input signal based on the first adjusted gain level.

A plasma processing apparatus includes a radio-frequency (RF) power supply; a pair of plasma electrodes, and a matcher disposed between the pair of plasma electrodes and the RF power supply. The matcher includes an RF feed line supplied with RF power from the RF power supply; a ground line; a first load line connected to one of the plasma electrodes; a second load line connected to the other of the plasma electrodes; an impedance matching circuit connected to the RF feed line, the first load line, the second load line, and the ground line, and including variable reactance elements; an RF sensor that is provided in the RF feed line and detects the RF power; a voltage sensor that detects a first peak value; and a matcher controller that controls the variable reactance elements by inputting detected values from the RF sensor and the voltage sensor.

The invention relates to the technical field of intelligent carrying, in particular to an energy management and self-adaptive positioning method of a rechargeable semiconductor wafer courtyard intelligent carrying system, which comprises the following steps of: acquiring an electric quantity percentage through a built-in voltage sensor, aligning output power in a time sequence and normalizing to generate an energy supply label; and performing Kalman filtering processing on the pose rate to generate a positioning abnormal mark, calculating an Euclidean change rate and generating a track confidence coefficient through a dynamic threshold value, calculating a site activation threshold value and generating a charging priority, and performing path matching to generate a positioning compensation instruction. According to the method, the matching confidence coefficient is generated through dynamic regulation of power fluctuation, fusion of energy supply labels and Kalman filtering correction offset and Euclidean distance change, the priority and the path are correlated through a normalized ratio, the matching track topology is dynamically planned, energy and positioning are collaboratively optimized, interference and conflicts are suppressed, encoder errors are reduced, and no-load waiting and drifting are avoided; and the energy supply continuity and the anti-interference capability are improved.

The invention relates to a precise data acquisition device of a lightning arrester on-line monitoring system, and the device comprises a sensor unit which is used for obtaining a three-phase leakage current signal of a lightning arrester and a voltage signal of a corresponding phase in real time; a signal conditioning unit; a micro-current amplification circuit; a dynamic gain control circuit; a multi-stage active filter circuit; an electromagnetic shielding housing; a synchronous sampling unit; a data processing unit; a self-energy-taking power supply unit; and an intelligent communication unit. The beneficial effects are that through the high-linearity current transformer and the partial pressure type voltage sensor of the sensor unit, three-phase leakage current signals and corresponding-phase voltage signals of the lightning arrester can be accurately obtained; a micro-current amplification circuit, a dynamic gain control circuit and a multi-order active filter circuit in the signal conditioning unit work cooperatively, weak leakage current signals are effectively processed, the signal-to-noise ratio is improved, and it is ensured that the signals can still keep high precision in a complex electromagnetic environment.

The invention discloses a battery state estimation method based on a general MCU platform, and the method comprises the steps: data collection and processing: employing a voltage sensor, a current sensor and a temperature sensor to collect the operation data of a battery, and enabling the current sensor and the voltage sensor to automatically carry out the zero calibration every five minutes, the temperature signal is subjected to three-point sampling and median filtering processing; sOC estimation comprises the following steps: a) static state estimation: estimating by adopting an open-circuit voltage and SOC relation curve OCV-SOC table look-up mode, and introducing temperature compensation correction to obtain SOC; b) dynamic charge and discharge state estimation: # imgabs0 # real-time error correction: constructing a voltage monitoring time window with the length of N for calculating the deviation delta V between the actual voltage and the estimated voltage in real time, when the delta V exceeds a set threshold, triggering an extended Kalman filter (EKF) algorithm to correct the battery state, the state variables of the estimated voltage including the state of charge SOC and the internal resistance Rinter; and dynamically updating an initial value SOC0 in the ampere-hour integral method through a filtering correction result.

The invention discloses a non-intrusive voltage inversion method based on annular arrangement and a related device, and relates to the technical field of voltage sensor measurement, and the method comprises the steps: obtaining the height and radius of a lead; based on the height of the wire and the radius of the wire, obtaining a relational expression between the surface potential of the wire and simulated charges; determining a voltage inversion matrix based on the relational expression of the wire surface potential and the simulated charges; determining a voltage inversion calculation formula based on the voltage inversion matrix; and performing voltage inversion based on the voltage inversion calculation formula and the multiple groups of electric field sensor data to obtain an inversion voltage solution with the minimum overall residual error. According to the invention, the reliability and stability of voltage inversion can be improved.

The invention discloses an intelligent energy management and control method based on the RFID technology, and the method comprises the steps: fixedly installing passive RFID tags on a plurality of pieces of energy consumption equipment, and enabling each passive RFID tag to be physically integrated with a current sensor and a voltage sensor; periodically reading an identification code, a real-time current value and a real-time voltage value of each passive RFID tag through a plurality of fixed RFID reader-writers deployed in a management and control area; the data processing unit receives the identification codes, the real-time current values and the real-time voltage values uploaded by all the RFID reader-writers and generates real-time power data of all the energy consumption devices; predicting a regional total load change trend in a future time period by adopting a time sequence analysis method; generating a scheduling instruction according to a preset equipment priority strategy; and the scheduling instruction is reversely written into the storage area of the corresponding passive RFID tag through the RFID reader-writer. The overall management and control efficiency of the system can be effectively improved, and the human intervention cost is reduced.

Each of the power conversion devices of a parallel power supply device includes an individual output voltage sensor detecting an individual output voltage value, a current sensor that detects a control current value, and a control device. A system to which the parallel power supply device is applied includes a common output voltage sensor detecting a common output voltage value that is a voltage value between high- and low-potential output paths. The parallel power supply device is configured so that the detected common output voltage value, an output voltage command value common for each of the power conversion devices, and an output power command value common for each of the power conversion devices are inputted into the control device. The control device performs a switching control based on the inputted output voltage command value, individual output voltage value, control current value, output power command value, and common output voltage value.

An electrical power supply assembly is disclosed comprising a first DC / DC converter and a second DC / DC converter, each equipped with a current sensor to determine a respective current. The assembly includes a charge storage device having a boost / buck DC / DC converter and a charge storage medium. Components feature voltage sensors to determine input, output, and charge storage medium voltages. An electronic controller in communication with the converter and the sensor includes a computer readable medium storing instructions that enable the controller to adjust the output power based on the respective currents of the first DC / DC converter and the second DC / DC converter and the input and output voltages when the output voltage is outside a predetermined range. Further, the controller adjusts the output power of the boost / buck DC / DC converter based on the output and charge storage medium voltages under similar conditions, ensuring efficient power management and stability of the electrical power supply component.