28 results about "Electrical impedance spectroscopy" patented technology

The invention belongs to the technical field of energy storage system state monitoring, and provides a lithium ion energy storage system abnormal state identification method and system based on impedance spectrum analysis, and the method comprises the steps: carrying out the decoupling of voltage response data and current response data through employing an excitation-response decoupling algorithm under a dynamic working condition, and obtaining an impedance spectrum; obtaining a voltage response component and a current response component; obtaining the total impedance spectrum of the lithium ion energy storage system under the current working condition; constructing a system-level impedance cloud picture; calculating a difference value between the current impedance spectrum and the weighted moving average baseline spectrum based on the system-level impedance cloud atlas to obtain an enhanced difference cloud atlas; and performing non-uniform segmentation and feature extraction on the enhanced difference cloud picture by using a visual Transform model oriented to electrochemical prior to obtain a multi-dimensional abnormal probability vector, and obtaining an abnormal state type of the lithium ion energy storage system based on the multi-dimensional abnormal probability vector. According to the technical scheme, the accuracy, timeliness and reliability of abnormal state recognition of the energy storage system are remarkably improved.

The invention discloses a harmonic stability evaluation method, device and equipment applied to a renewable energy power system and a medium, the method is applied to the technical field of power system harmonic, and the method comprises the steps: carrying out the impedance aggregation processing of topological structure data, and obtaining a harmonic impedance model; processing the renewable energy equipment data based on a Nyquist stability criterion to obtain a stability boundary condition of the power system; constructing a node admittance matrix based on the harmonic impedance model and the stability boundary condition; processing the node admittance matrix by using a Fourier technology to obtain impedance spectrum data, and processing the impedance spectrum data based on a modal impedance maximum value analysis method to obtain resonance modal characteristics; processing the resonance mode characteristics and the real-time operation condition to obtain a time domain verification result; and carrying out harmonic stability evaluation based on a time domain verification result. According to the method provided by the invention, the technical problem of harmonic stability evaluation distortion caused by incomplete measurement data can be solved.

The application relates to the field of water pollution monitoring instruments and discloses a sewage monitoring method combining optical and electrochemical sensing, which comprises the following steps: acquiring an original photoelectric conversion voltage matrix and an original impedance frequency spectrum sequence of a measured medium in a sensing field; calculating a relative deviation rate of a chemical oxygen demand measurement value; acquiring a transient Doppler frequency shift distribution sequence and extracting a flow field disturbance factor when the relative deviation rate continuously exceeds a preset signal deviation threshold value; calculating a dynamic response gain; judging whether a physical response shield exists on a monitoring interface according to whether the dynamic response gain is lower than a preset mass transfer shield lower threshold value; and outputting a sensor passivation early warning signal if it is judged that the physical response shield exists. The application verifies the mass transfer effectiveness of the monitoring interface by using flow field kinetic energy fluctuation, identifies the passivation phenomenon of the physical interface of the sensor, eliminates false standard data output caused by physical degradation of the probe, and guarantees the authenticity of the monitoring data.

The application provides a method for detecting the quality of a hot plate of a plasma deposition device. The hot plate is arranged in a shell, the shell is grounded, and the hot plate has a metal line arranged inside. The metal line is part of a radio frequency line of the plasma deposition device. The method comprises: constructing a first measurement loop, the first measurement loop comprising a measurement line and a first measured line, wherein the first measured line comprises the metal line and the shell, the metal line and the shell form a first plate capacitor, the measurement line is used to output voltage signals of different frequencies and feedback impedance spectra at the different frequencies; measuring a first impedance spectrum of the first plate capacitor by using the measurement line; and determining whether the metal line of the hot plate is normal according to the first impedance spectrum.

The invention relates to the technical field of electrical measurement, and discloses an impedance spectrum-based distribution network line hidden defect online detection method and system, and the method comprises the steps: inputting a broadband current signal with the frequency point density in topological arrangement along with a line into a distribution network line; performing fast Fourier transform on the voltage response signals in the distribution network line, and synthesizing the transformed voltage response signals to obtain a real-time impedance spectrum of the distribution network line; binding impedance frequency spectrums collected under a defect-free working condition with environmental parameter labels, and collecting the bound impedance frequency spectrums into an impedance reference library of the distribution network line; matching a real-time environment parameter with the impedance frequency spectrum in the impedance reference library to obtain a reference impedance frequency spectrum of the distribution network line; and performing defect deconstruction on the frequency point deviation value of the reference impedance spectrum and the real-time impedance spectrum to obtain the hidden defect condition of the distribution network line. According to the invention, the efficiency of distribution network line hidden defect on-line detection of impedance spectrum can be improved.

The application provides a hardware-implemented sparse impedance spectrum fast measurement method and system. The system comprises an excitation signal generation and gain module, an impedance voltage conversion and data acquisition module, a signal demodulation module, a data uploading module and a host computer. The excitation signal generation and gain module generates a multi-frequency excitation signal and applies the signal to the impedance to be measured. The impedance voltage conversion and data acquisition module converts the impedance to be measured into a voltage signal and then performs analog-digital conversion, and inputs the signal into the signal demodulation module. A rearrangement factor is selected through simulation, and the spectrum downsampling without frequency collision is realized in hardware. The result is transmitted to the host computer through the data uploading module. According to the known frequency, the amplitude and phase change of the impedance to be measured are recovered through one-time hash inverse mapping, and the fast measurement of the sparse impedance spectrum is realized. The application has the characteristics that the spectrum downsampling without frequency collision is realized through one-time signal rearrangement, the data storage and operation amount is greatly reduced, and the fast measurement of the impedance spectrum is realized.

This application provides a method for detecting the quality of a hot plate in a plasma deposition apparatus. The hot plate is disposed within a housing, which is grounded. The hot plate contains metal wiring, which is part of the radio frequency (RF) circuitry of the plasma deposition apparatus. The method includes: constructing a first measurement circuit, which includes a measurement circuit and a first circuit under test, wherein the first circuit under test includes the metal wiring and the housing, the metal wiring and the housing forming a first parallel-plate capacitor; the measurement circuit outputs voltage signals at different frequencies and feeds back impedance spectra at the different frequencies; measuring the first impedance spectrum of the first parallel-plate capacitor using the measurement circuit; and determining whether the metal wiring of the hot plate is normal based on the first impedance spectrum.

This invention provides a comprehensive evaluation method for the mid-frequency performance of a filter field grounding system, belonging to the field of power grid equipment technology. The invention extracts the resonant frequency distribution by inputting a wideband impedance spectrum into an artificial intelligence frequency domain response identification model based on a coarse spatiotemporal attention mechanism. It then dynamically adjusts the spatial receptive field parameters according to the resonant frequency offset function. A three-dimensional electromagnetic field simulation model is established based on soil frequency domain parameters, and the ground potential and current density distribution are calculated using the radial basis function collocation method and the fast multipole algorithm. The entropy value of current distribution uniformity and the Gini coefficient are calculated to identify current concentration areas and assess local overheating risk. Finally, the analytic hierarchy process (AHP) is used to dynamically weight and comprehensively score indicators such as impedance peak value, resonant frequency, ground potential gradient, current uniformity, and overheating risk. This invention solves the technical problem of inaccurate performance evaluation of filter field grounding systems under mid-frequency impulse conditions.

The application belongs to the technical field of seedling quality grading, and discloses a quality grading method for Platycladus orientalis seedlings in situ based on electrical impedance spectroscopy, which comprises the following steps: a Platycladus orientalis seedling in-situ measurement device is built for non-destructive measurement of root EIS in situ; an EIS-100 system is used to measure EIS parameters; based on a GSFS-FCM algorithm, input data are clustered, and the optimal cluster number K and the optimal cluster center coordinate matrix are output; according to the optimal cluster number K and the optimal cluster center coordinate matrix, the final membership degree is calculated and the classification is divided through the FCM algorithm, the quality grade to which the Platycladus orientalis seedling belongs is output, and the whole process from electrical impedance measurement to quality grading is completed. The above-mentioned grading method is adopted, the GSFS-FCM algorithm can automatically determine the classification number, automatically find the cluster center, reduce the iteration number of the algorithm, has high accuracy, and breaks away from the traditional grading method which relies on morphological parameters of the aboveground part.

The application belongs to the technical field of new energy vehicle electrical detection and health diagnosis, and discloses a new energy vehicle wire harness aging state online evaluation method based on impedance spectrum analysis. When the target wire harness loop is turned on, a diagnosis excitation signal is injected, and the voltage and current responses of the excitation end and the other end measurement port, the switch state, the wire harness temperature, the loop current and the state of charge signal are synchronously collected. According to the switch state, the transient shielding interval is generated, and the effective sampling points are extracted. The input impedance spectrum and the transmission impedance spectrum are calculated, and the segmented mapping is carried out in combination with the wire harness topology parameters and the segmented propagation time delay parameters. Then, the working condition normalization is carried out based on the working condition reference library, and the segmented aging residual characteristics are obtained. The degradation evaluation model is input, and the segmented aging index, the aging grade and the evaluation confidence are output.

A device may perform impedance spectroscopy on a component under test. The frequency response analyzer circuitry may be coupled to the component under test outside of a current loop supplying an operational current to the component under test. The frequency response analyzer circuitry may drive a variable impedance circuit to generate an oscillating current component within the current loop. The frequency response analyzer circuitry may monitor a frequency response of the component under test to the oscillating current component.

A method of monitoring one or more cell aggregates, includes providing a flow path in which the one or more cell aggregates are in a medium and the flow path being configured to pass through a collective sensing zone of a set of electrodes, obtaining impedance-related signals corresponding to each of the medium and one of the one or more cell aggregates in the medium, and determining one or more electrical signatures for a cell aggregate, in which the one or more electrical signatures are based on impedance-related signals obtained from the set of electrodes. The method is one of dynamic testing at single-particle resolution. The electrical signatures may be an opacity and / or electrical size of the one or more cell aggregates, or electrical impedance spectroscopy-based electrical signatures. It is also to provide a microfluidic chip having a channel and electrodes for obtaining impedance-related signals.

The invention discloses a vacuum circuit breaker closing coil fault diagnosis method, device and equipment and a storage medium, and relates to the technical field of electrical engineering, and the method comprises the steps: firstly obtaining the compensation resistance, impedance spectrum characteristics, temperature change rate and temperature gradient of a closing coil, and enabling the compensation resistance to be obtained through the calculation of the voltage, current and temperature of the coil; respectively obtaining a resistance fault confidence coefficient, a frequency spectrum fault confidence coefficient and a temperature fault confidence coefficient according to the parameters; then obtaining weights corresponding to three types of fault confidence coefficients, and combining the weights to calculate a total fault confidence coefficient; finally, the fault type is judged according to the interval where the total fault confidence is located, the first interval is turn-to-turn fault initial early warning, the second interval is turn-to-turn fault confirmation or resistance abnormity early warning, and the third interval is open circuit or short circuit fault. And if the total fault confidence is in a third interval, the blocking relay is controlled to cut off the closing loop within the preset t moment, and the method can effectively diagnose the fault.

The invention relates to the technical field of medical instruments, and particularly discloses a micro guide wire impedance spectrum thrombus identification system for neural intervention. The system comprises an impedance measurement unit integrated at the far end of the micro guide wire and a data processing and output unit connected with the impedance measurement unit. The impedance measuring unit is used for applying broadband electric excitation in situ and measuring response when the micro guide wire is in contact with a target object in a blood vessel so as to obtain impedance spectrum original data. The data processing and output unit is used for carrying out intrinsic relaxation mode separation on the original data and decomposing a plurality of intrinsic impedance sub-spectrum components representing different biophysical origins; synchronously comparing the characteristic parameters of the sub-spectrum components with a pre-constructed thrombus characteristic mapping space; and based on the comparison result and a preset multi-dimensional classification boundary rule, generating and outputting a conclusion containing thrombus dominant component classification and structural density judgment. According to the method, the thrombus component structure can be identified in situ in the nerve interventional operation, and information support is provided for selection of operation strategies.

This application relates to the field of radio frequency medical technology, specifically to an intelligent radio frequency energy-assisted regulation method based on impedance spectrum feedback. The method includes: in the radio frequency energy transmission of a medical device, acquiring the capacitance control quantity of the impedance matching network for each frequency band in each control cycle; applying a perturbation to the capacitance control quantity of each frequency band; determining the self-channel response gradient of each perturbed frequency band and the cross-channel coupling gradient of each perturbed frequency band to the remaining frequency bands; determining the coupling loss ratio of each frequency band; obtaining the deterioration trend value of each frequency band; determining the nonlinear coupling risk degree of each frequency band; and updating the capacitance setting value of each frequency band in the next control cycle accordingly, thereby driving the impedance matching network to perform regulation. This application improves the energy transmission efficiency and dynamic matching stability of multi-band radio frequency energy harvesting technology under dynamic nonlinear power environments.

This invention provides a method for extracting equivalent parameters of a cavity resonant wireless power transfer system, comprising the following steps: S1: acquiring system input impedance spectrum data; S2: using the system input impedance spectrum data as input, and obtaining preliminary predicted values ​​of the system equivalent parameters using a trained LSTM regression model; S3: based on the preliminary predicted values ​​of the system equivalent parameters, using a nonlinear fitting algorithm to regression fit and obtain accurate values ​​of the system equivalent parameters; the system equivalent parameters include the cavity internal resistance, cavity equivalent inductance, and mutual inductance between the coil and the resonant cavity. Its advantages are: it can effectively extract equivalent parameters of cavity resonant wireless power transfer systems under all current mainstream modes; it avoids the convergence failure or getting trapped in local optima caused by the NLS algorithm due to the initial values ​​deviating significantly from the true values, and possesses extremely high fitting accuracy and stability.

This invention discloses an online compensation method and system for aging of ion-conducting continuous dielectric skin. The method includes the following steps: S1, determining whether the system has entered a non-interactive idle state; S2, constructing a complex impedance spectrum matrix containing amplitude and phase information; S3, outputting an aging drift vector including electrode contact impedance; S4, based on the aging drift vector, updating the mapping weights or sensitivity matrix in the tactile inversion model in real time to compensate for tactile perception deviations caused by material aging; S5, monitoring based on the output electrode contact impedance, and when the contact impedance of any electrode exceeds a predetermined threshold, cutting off the failed electrode channel, and reconstructing the failed area using virtual electrode mapping based on the electric field distribution formed by the remaining electrodes to maintain the integrity of tactile perception. This invention aims to solve the problem of tactile perception drift caused by the evolution of materials and interfaces over time in ion-conducting skin, achieving low-cost online health assessment and adaptive compensation.

The application provides a polymer dispersion quality detection method and system based on electrical impedance spectroscopy analysis, which comprises the following steps: first, injecting the polymer dispersion to be detected into a microfluidic test environment, collecting complex impedance data while applying a thermal cycle excitation, and calculating the characteristic area of the temperature-impedance phase angle closed track curve. Combining the characteristic area with the basic conductivity, the tortuosity coefficient representing the entanglement state of the polymer chain is calculated using the porous medium permeation model. Impedance scanning is performed at a constant temperature, and the non-linear fluctuation characteristics of the electrochemical group time delay curve are analyzed to quantitatively obtain the micro-mediamedia non-uniformity degree representing the dispersion uniformity. The dispersion is graded in quality by combining the tortuosity coefficient and the micro-mediamedia non-uniformity degree. The application has the effect of accurately detecting the microstructure state of the polymer liquid.

The invention discloses a transformer capacity detection method and device, equipment and a medium, and relates to the technical field of transformer detection, and the method comprises the steps: carrying out the feature matching according to a zero-sequence impedance spectrum curve of a to-be-detected transformer and a capacity feature library, and obtaining a capacity matching result of the to-be-detected transformer, the capacity feature library comprises zero-sequence impedance spectrum curves corresponding to transformers with different capacities; when the capacity evaluation result of the to-be-tested transformer is that no matched capacity exists, nameplate parameters of the to-be-tested transformer are obtained; and carrying out capacity calculation according to the zero-sequence impedance spectrum curve of the to-be-measured transformer and the nameplate parameters to obtain the actual capacity of the to-be-measured transformer. On-line capacity detection is achieved by obtaining the zero-sequence impedance frequency spectrum curve in the operation process of the transformer for capacity judgment, in addition, when the capacity evaluation model cannot obtain an accurate capacity result, the capacity is further calculated through the zero-sequence impedance frequency spectrum curve of the to-be-detected transformer and given nameplate parameters, and the capacity evaluation accuracy is improved. Therefore, more accurate capacity detection is realized.

The invention discloses a non-intrusive motor temperature on-line monitoring method and system based on a winding impedance frequency spectrum, and relates to the technical field of artificial intelligence monitoring, and the method comprises the steps: calculating a motor end common-mode voltage through the switching state of a frequency converter, and extracting a voltage harmonic wave; a common-mode leakage current sensor is used for measuring current harmonics, and magnetic field balance is ensured; calculating an impedance spectrum based on the voltage and current harmonics; performing temperature calibration by injecting a pulse width modulation signal to obtain a temperature-impedance data set; and finally, establishing a regression model of impedance and temperature by using an artificial intelligence algorithm to realize real-time temperature monitoring. The system comprises a frequency converter, a voltage measurement module, a common mode leakage current sensor, a signal processing unit and a control unit. The method does not need to change the motor structure, is suitable for a high-power motor, and has high precision and anti-noise capability.

The invention discloses a UPS (uninterrupted power supply) control management method, which relates to the technical field of uninterrupted power supplies, and comprises the following steps: collecting transient response signals of each power supply output end, forming a time sequence data set, obtaining impedance spectrum characteristics under different frequencies, and generating an impedance spectrum; calculating the difference number of impedance modulus values and phase angles of the power supplies under the same frequency in the initial power supply sequence based on the impedance frequency spectrum to obtain a difference number sequence; screening out a deviation power supply according to an optimization mechanism, and generating a deviation sequence; the impedance matching degree and the circulation loss reduction rate of each power supply in the pre-power supply sequence are calculated, the power supply is re-determined to obtain a final power supply sequence, power supply is carried out, transient response signals of the output ends of the power supplies are collected and analyzed, impedance spectrum characteristics are obtained, accurate impedance matching between the power supplies is achieved, circulation and resonance are reduced, and the power supply efficiency is improved; the optimal topological structure and the power supply connection mode are determined, and the stability and reliability of the power supply system are improved.

The invention discloses an on-site verification method and device for a current transformer secondary circuit calibrator and a medium, and belongs to the technical field of current transformer secondary circuit calibration.The method comprises the steps that reference ratio difference and reference angle difference data are obtained through calculation through a power output unit of the calibrator; a microprocessor unit of the calibrator calls a dynamic test point decision algorithm to generate a current percentage instruction of an encrypted test point; completing the measurement of the ratio error and the angle error of the encrypted test point; impedance frequency spectrum scanning is carried out on a secondary loop of the current transformer in a predefined broadband through a signal source and an acquisition module built in the calibrator, and characteristic data of impedance amplitude and phase changing along with frequency are obtained; and outputting an evaluation conclusion about the potential fault state of the secondary circuit. According to the invention, on-site verification of the current transformer is upgraded from single qualification judgment to a comprehensive state evaluation system integrating accurate error measurement, risk interval positioning and hidden fault early recognition.

The invention belongs to the technical field of battery detection, and relates to a method for measuring activation energy of a lithium ion battery. The method aims at solving the technical problems that an existing lithium ion battery activation energy measuring method depends on equivalent circuit fitting or relaxation time distribution analysis, model selection and parameter setting have high subjectivity, consequently, an activation energy calculation result is unstable and poor in repeatability, a data processing flow is complex and time-consuming, and rapid analysis and large-scale application are not facilitated. The invention provides a method for measuring activation energy of a lithium ion battery, which comprises the following steps of: performing sweep frequency impedance test on the lithium ion battery at different temperatures to obtain impedance spectrum data at corresponding temperatures; based on the impedance spectrum data, determining the frequency corresponding to the maximum absolute value of the impedance imaginary part as a characteristic frequency value at the temperature; and establishing a relational expression that the characteristic frequency changes along with the temperature, and calculating the activation energy and pre-exponential factors of the lithium ion battery according to the relational expression, thereby realizing rapid, accurate and high-stability measurement of the activation energy.

The invention discloses a converter impedance scanning method and device, and the method comprises the steps: injecting excitation voltage signals with the same frequency, different amplitudes and specific frequency into an AC output port of a to-be-tested new energy grid-connected converter twice when the to-be-tested new energy grid-connected converter operates normally; when the excitation voltage signals are injected twice, the port voltage and the output current of the new energy grid-connected converter are detected in real time; and performing spectral analysis on the detected current and voltage signals to obtain an impedance value of the new energy grid-connected converter under a specific frequency under an operation condition. According to the method and the device, the impedance characteristic of the new energy grid-connected converter is tested by the whole machine, the method is more real than semi-physical simulation, and the instability critical working point of the new energy grid-connected converter can be judged through the positive and negative sequence impedance frequency spectrum curve obtained through the test.

A device capable of determining a force applied to a tip of an electrical impedance spectroscopy probe, comprising: an elongated probe comprising a probe tip attached to a handle, the probe tip having a substantially flat distal end for contacting human or animal tissue; a load cell located in the handle and capable of measuring a force Floadcell applied axially along a longitudinal axis when the probe tip is in contact with human or animal tissue; an accelerometer located in the handle for measuring a gravity vector Aaxial; processing means for compensating the mass of the probe tip using the measured force and the gravity vector to produce a calibrated measurement of the force F applied to the probe tip.

This invention discloses a method and system for locating cable defects by fusing reflection coefficient and impedance spectrum, relating to the field of insulation condition diagnosis and assessment technology for power equipment. The method includes: acquiring reflection coefficient spectrum data and impedance spectrum data from the cable's head end; extracting the imaginary part of the reflection coefficient spectrum and the amplitude information of the impedance spectrum and fusing them to obtain fused spectrum data; performing localization processing on the reflection coefficient spectrum, impedance spectrum, and fused spectrum based on windowed Fourier transform to construct a local defect diagnosis function; and analyzing the diagnosis curve to determine the defect location and severity. This invention significantly improves the identification accuracy of the location pulse by coherently enhancing defect information through spectrum fusion, suppressing background fluctuations at non-defect locations. It has advantages such as a location error of less than 0.3%, strong anti-interference ability, and low misjudgment rate, making it suitable for efficient on-site fault detection of power cables.

The invention regards a battery-less implantable wireless device for measuring physiological parameters in a subject, comprising a sensor system configured to measure the physiological parameters, with the sensor system including a temperature sensor and an electrical impedance spectroscopy unit; an antenna for communication with an external device; a reservoir capacitor unit for storing RF energy transferred from the external device; and a logic controller configured to manage the charging of the reservoir capacitor unit, use the RF energy stored in the reservoir capacitor unit to measure the physiological parameters, and transmit a return signal indicative of the measured physiological parameters.

The invention provides a high-molecular dispersion liquid quality detection method and system based on electrical impedance spectroscopy analysis, and the method comprises the following steps: injecting a to-be-detected high-molecular dispersion liquid into a microfluidic test environment, and collecting complex impedance data while applying thermal cycle excitation to the to-be-detected high-molecular dispersion liquid; and the characteristic area of the temperature-impedance phase angle closed trajectory curve is calculated. And calculating a tortuosity coefficient for representing the entanglement state of the macromolecular chain by using a porous medium permeation model in combination with the characteristic area and the basic conductivity. And carrying out impedance scanning at a constant temperature, and quantifying to obtain the microcosmic medium heterogeneity degree representing dispersion uniformity by analyzing the nonlinear fluctuation characteristics of an electrochemical group time delay curve. And performing quality grading on the dispersion liquid by combining two parameters, namely a tortuosity coefficient and a microcosmic medium non-uniformity degree. The method has the effect of accurately detecting the microstructure state of the polymer liquid.