3673 results about "Signal on" patented technology

The invention is suitable for the technical field of electrical equipment state monitoring, and provides an electrical equipment state monitoring method based on a non-contact leakage current sensor, and the method comprises the steps: collecting a leakage current signal of the surface of an insulating part of electrical equipment, and obtaining infrared thermal image data and an ultrasonic signal; variational mode decomposition is carried out on the leakage current signal to obtain a plurality of intrinsic mode functions; separating a leakage current effective component and an independent noise source based on a blind source separation algorithm; extracting a time-frequency characteristic of the effective component of the separated leakage current, extracting a local temperature gradient characteristic of the infrared thermal image data and a frequency spectrum energy characteristic of the ultrasonic signal, and generating a multi-modal characteristic vector; analyzing the space-time relevance of the multi-modal feature vector, dynamically distributing each modal weight coefficient for fusion, and generating a comprehensive fault feature; according to the method, the signal-to-noise ratio of the weak leakage current signal is improved, and the misjudgment rate is effectively reduced.

The invention discloses a GNSS deception signal detection method based on a time-frequency domain feature fusion deep learning model, and relates to the technical field of intelligent detection. The method comprises the following steps: acquiring original GNSS signal data, preprocessing the data, and dividing the data into a training set and a test set; in the model training stage, a pre-training lightweight deep learning model is utilized to extract time domain convolution features and multi-resolution frequency domain features, and weighted correction and fusion among the features are realized through a bidirectional attention mechanism; and carrying out iterative training on the model based on the fusion feature vector, and finally carrying out deception signal detection on a test set by utilizing the trained model. According to the invention, through a time-frequency domain feature deep interaction and model training mechanism, the deception signal is detected through the model, and the detection precision of the GNSS deception signal in a complex scene and the anti-interference capability of the model are significantly improved.

Disclosed in the present invention are a dual-end monitoring-based partial discharge source localization method and system for high-frequency partial discharge of a high-voltage cable. The method comprises: acquiring operation data and phase velocity test data of a high-voltage cable; when a partial discharge fault occurs in the high-voltage cable, collecting partial discharge signals on two sides of the high-voltage cable by means of sensors on the two sides of the high-voltage cable; performing Fourier transform respectively on the basis of the partial discharge signals on the two sides to obtain amplitude-frequency characteristics of the partial discharge signals, and preprocessing the collected partial discharge signals on the basis of the amplitude-frequency characteristics to optimize and improve a phase difference algorithm; and by incorporating the phase velocity test data of the high-voltage cable, using the improved phase difference algorithm to perform partial discharge source localization on the faulty cable. In the present invention, dual-end monitoring is used to reduce the attenuation of signals caused by long-distance transmission, and synchronization of two sensors is performed using a PTP protocol, effectively reducing errors; and in addition, during monitoring, partial discharge source localization is performed using the improved phase difference algorithm, which is conducive to resisting external interference, and there is no need to determine the time of arrival, greatly improving the positioning accuracy.

The invention provides an AGC signal intelligent correction and control method, device, equipment and medium, and the method comprises the steps: collecting an AGC instruction signal of a power grid dispatching side, an actual power feedback signal of a power plant side and a unit operation state parameter, and constructing multi-source heterogeneous data; inputting the multi-source heterogeneous data into a pre-trained digital twinborn model to obtain a predicted value of the real power of the unit; calculating a real-time deviation between the predicted value of the real power and the actual power feedback signal, and dynamically compensating the AGC instruction signal based on the real-time deviation to generate a corrected AGC instruction signal; and on the basis of the corrected AGC instruction signal, a feedforward control signal is generated, and is superposed to a basic control instruction of a unit distributed control system (DCS) in an increment form, so that full-load section accurate control is realized, and the problems of accurate correction of the AGC signal, accurate prediction of real power and dynamic compensation are solved.

The invention provides an anti-interference sound signal data extraction method based on energy data perception, and belongs to the technical field of underwater sound signal processing, and the method comprises the steps: carrying out the A / D sampling and digital orthogonal demodulation of a received sound signal, and obtaining a baseband signal; performing low-pass filtering and downsampling on the baseband signal to obtain a preprocessed signal; performing matched filtering on the pre-processed signal by using a reference signal; the key improvement lies in that a local energy estimation function of a preprocessed signal is calculated, and normalization processing is carried out on a matched filtering result and the energy estimation function to obtain a normalized detection signal. The method effectively suppresses the shielding effect of a strong interference signal on a weak target signal under a non-orthogonal reference signal and a strong near-end and weak far-end scene, remarkably reduces the misrecognition probability, and improves the accuracy and reliability of the extraction of a long-distance and low-signal-to-noise-ratio target beacon signal in a complex underwater acoustic environment. The method is suitable for underwater navigation, positioning and communication systems.

The invention provides an array substrate and a display device, and the array substrate comprises a substrate; the gate insulating layer is arranged on the substrate; the data line is arranged on the gate insulating layer; the first passivation layer is arranged on the gate insulation layer and covers the data line; the first shielding electrode is arranged on the first passivation layer, and the first shielding electrode is connected with the direct-current voltage signal output end; the second passivation layer is arranged on the first passivation layer and covers the first shielding electrode; the common electrode is arranged on the second passivation layer, and a part of the common electrode is overlapped with the data line and the first shielding electrode; the pixel electrode and the common electrode are arranged on the same layer or stacked, and the pixel electrode is insulated from the common electrode. The first shielding electrode is connected to the direct-current voltage signal, so that the data voltage signal on the data line does not affect the signal on the common electrode, coupling capacitance between the common electrode and the data line is avoided, and poor display of picture flicker is avoided.

A communication device for providing a channel state information, CSI, feedback in a wireless communication system includes a transceiver to receive, from a transmitter a radio signal via a time-variant, frequency-selective MIMO channel, the radio signal including downlink reference signals according to a reference signal configuration including a number of antenna ports, and downlink signals including the reference signal configuration; and a processor. The processor estimates an explicit CSI in the frequency domain using measurements on the downlink reference signals on the radio channel, selects a Doppler-delay precoder matrix (W) for a composite Doppler-delay-beam three-stage precoder, calculates either one or more of a channel quality indicator, CQI, and / or a precoder matrix indicator, PMI, and / or a rank indicator, RI, and reports to the transmitter the CSI feedback including either one or more of the CQI, and / or the PMI and / or the RI.

The invention provides an ultrasonic detection method and system for inverting residual stress by using sound wave phase velocity, and belongs to the field of air coupling ultrasonic guided wave detection. The method is based on an air coupling ultrasonic guided wave sound field propagation finite element model, and guides optimization design of air coupling ultrasonic transducer parameters. The air coupling ultrasonic guided wave detection technology is adopted for conducting non-contact excitation and receiving of guided wave signals on the composite material component with the preset stress through the stretcher. And calculating the phase velocity of the air-coupled ultrasonic guided wave in the composite material component based on a geometric positioning and time difference cooperative gradual difference method. And calibrating the phase velocity in the target composite material and preset stress to obtain a corresponding relational expression, performing phase velocity detection on a composite material component with unknown stress based on a calibration result of the target composite material, and performing inversion to obtain composite material construction residual stress. By adopting the method and the system, the residual stress detection of the composite material component is realized.

The invention discloses an electric vehicle charging dynamic pricing method and system based on user consumption psychology, and the method comprises the steps: S1, calculating the response time period and the shortest charging time of a user according to the charging behavior data of an electric vehicle user, and screening the user with the demand response capability; s2, constructing a three-dimensional psychological feature vector based on the user with the demand response capability, performing weighted calculation on a user type decision parameter, and dividing user types; s3, constructing a differentiated comprehensive satisfaction model for different types of users; s4, constructing an electric vehicle charging double-layer pricing model based on a stackelberg game; and making a charging station price strategy, thereby realizing flexible regulation and control of the charging load of the electric vehicle. The method has the advantages of reducing the deviation between the scheduling instruction and the actual response, remarkably improving the regulation and control efficiency of the price signal on the load and the like.

The invention discloses an electric power data acquisition method and equipment based on a logarithmic amplifier and a medium, and relates to the technical field of electric power monitoring signal processing, and the method comprises the steps: collecting an original analog current signal on an electric power circuit and an analog temperature signal of an environment where the logarithmic amplifier is located, and generating a mixed observation vector; based on the mixed observation vector, calculating an estimated value of a temperature characteristic correction parameter in real time through a pre-stored temperature-parameter mapping relation, and performing logarithmic compression on the original current digital signal sequence by using the estimated value of the temperature characteristic correction parameter to obtain a compressed voltage signal subjected to temperature compensation; and performing high-speed analog-to-digital conversion on the compressed voltage signal subjected to temperature compensation to obtain a discrete digital signal sequence, and storing the discrete digital signal sequence into a priority cache region. According to the invention, the data volume is effectively compressed by using the correlation between the signals, and the transmission bandwidth and the storage demand are reduced.

The invention relates to the technical field of edge computing, electric automobile testing and the like, and provides an electric automobile instrument testing method based on end-cloud collaboration, which comprises the following steps of: constructing a lightweight virtualized resource isolation environment at an edge computing node, loading signal generation, communication agency and state monitoring micro-service; a test platform with elastic capacity expansion and contraction and fault self-recovery capability is formed; historical test data are collected at a cloud end, and an equipment health degree prediction model is trained and deployed to an edge node to support a local intelligent test; constructing a dynamic test service chain, generating and pre-distorting and compensating an enhanced test signal, and then acting the enhanced test signal on the instrument; through multi-modal signal acquisition and unified preprocessing, in combination with wavelet packet decomposition and a deep neural network, high-dimensional feature extraction is realized, a test report containing a health trend is finally output, and a test process is actively intervened based on a trend prediction result. According to the method, the authenticity of test signals, the health assessment precision and the safety and efficiency of the test process are effectively improved.

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

The invention relates to the technical field of transformer fault detection, in particular to a converter transformer fault diagnosis method and device based on robot return data. The method comprises the following steps: accessing an original partial discharge signal of the converter transformer acquired by an on-site inspection robot into a diagnosis platform in the form of a dynamic return data packet by adopting a target communication mode to obtain a filtered pure partial discharge signal in a time domain; obtaining a dominant mode representing the characteristics of the pure partial discharge signal; inputting the dominant mode into the trained classifier to obtain a fault defect type of the converter transformer corresponding to the pure partial discharge signal; and visualizing the fault defect position and type of the converter transformer and the original partial discharge signal on the three-dimensional model of the converter transformer. According to the embodiment of the invention, the identification precision of the defect type of the converter transformer is improved, and the fault information of the converter transformer is visually displayed.

The invention belongs to the technical field of data analysis and processing, and particularly relates to an equipment state monitoring method based on a time sequence synchronous compression mechanism, and the method comprises the steps: 1, a monitoring terminal collects vibration type, acoustic type and acceleration type signals on a unified time baseline of Beidou time service signals, and registers a second sequence number and a frame sequence number in a unified fragment index table; 2, inputting an original time sequence data packet, constructing a phase grid frame by a phase locking ring according to a reference phase rail, extracting road-level flag event bits frame by frame, and fusing the road-level flag event bits into frame-level flag event bits; and step 3, outputting an equipment state label according to a mutual exclusion priority rule only on the basis of the synchronous compression time sequence packet and the coupling mark, the mode instruction and the abnormal fragment mark in the unified fragment index table in the identification window. The method is obviously superior to the prior art in the aspects of time sequence alignment precision, pattern recognition certainty, data compression efficiency and health state judgment reliability.

The invention provides an intelligent fuse, and belongs to the technical field of circuit protection, and the intelligent fuse is characterized in that an upper housing is provided with at least one excitation chamber, the excitation chamber is internally provided with at least one excitation part and at least one impact part, and the excitation part releases high-pressure gas when receiving any one of an external trigger signal and an internal trigger signal; the lower shell is provided with at least one cooling cavity; the current-conducting plate is arranged between the upper shell and the lower shell, and the impact part moves towards the direction where the cooling cavity is located under the thrust action of the high-pressure gas so as to cut off the current-conducting plate; the self-control module is arranged outside the shell and comprises a current detection unit and a processing unit, and the current detection unit is used for detecting a current signal on the conductive plate; the processing unit is used for generating an internal trigger signal according to the current signal. The beneficial effects of the invention are that a dual-trigger mechanism and redundancy design of an internal trigger signal and an external trigger signal are adopted, so that normal action can still be ensured when any signal fails, and the breaking reliability is improved.

The present invention relates to a duobinary signal reception device and method in which: a variable gain amplifier (VGA) amplifies a duobinary signal; a duobinary-to-non return to zero (NRZ) converter restores an NRZ signal on the basis of a differential signal of the amplified duobinary signal and a predetermined reference voltage signal; a digital regulator voltage (DRV) circuit outputs the restored NRZ signal; and the duobinary-to-NRZ converter comprises an exclusive OR (XOR) gate to which the differential signal of the amplified duobinary signal is input, and a comparator to which an output of the XOR gate and the reference voltage signal are input.

The invention belongs to the field of quantum computing, and particularly relates to a distortion correction optimization method and device for a quantum measurement and control link, and the method comprises the steps: applying a frequency control signal for loading a target pre-distortion waveform on a to-be-corrected quantum measurement and control Z link; setting a first logic gate for quantum state operation on an XY control line of the selected quantum bit; obtaining the fidelity of the quantum state output by the selected quantum bit; in response to the fact that the fidelity does not reach the preset standard, updating the pre-distortion waveform, and returning to execute a frequency control signal for applying and loading the target pre-distortion waveform signal on the quantum measurement and control Z link to be corrected; and setting a first logic gate for quantum state operation on an XY control line of the selected quantum bit until the fidelity reaches a preset standard. According to the invention, distortion correction can be rapidly and effectively carried out.

Methods, systems, and devices for wireless communications are described. A remote unit (RU) may transmit, to a distributed unit (DU), an indication of a skew time parameter associated with providing compensated samples for a plurality of symbols associated with a slot. The RU may store a set of samples associated with a first subset of the plurality of symbols associated with the slot, the storing based on a processing delay associated with receiving demodulation reference signals during a portion of the first subset of the plurality of symbols associated with the slot. The RU may transmit, to the DU, a burst of compensated samples for the plurality of symbols in a transmission window that is offset in time from a beginning symbol of the slot according to the skew time parameter.

Aspects of the disclosure relate to wireless communication including mode division multiplexing of data and reference signals using different orbital angular momentum (OAM) modes. An OAM transmitter may transmit a reference signal (RS) configuration information to an OAM receiver that indicates radio resources for a plurality of OAM modes. The OAM transmitter may further transmit data on a first OAM mode of the plurality of OAM modes using first radio resources of the radio resources indicated by the RS configuration information. The OAM transmitter may further transmit a reference signal on a second OAM mode of the plurality of OAM modes using the first radio resources of the radio resources indicated by the RS configuration information. The OAM receiver may receive the data on the first OAM mode and the reference signal on the second OAM mode. Other aspects, embodiments, and features are also claimed and described.

Disclosed in the present invention are an automatic delay calibration method for a smart speaker system, a device, and a storage medium. The method comprises: initializing a smart speaker system and performing environmental testing to preliminarily configure system parameters; exciting a target sound channel and playing a target test signal; locating a first test signal on the basis of a voice activity detection (VAD) algorithm, determining the start and end of the first test signal, and identifying a time difference of the first test signal to obtain a delay of main channels; locating a time of arrival of a second test signal on the basis of a fast peak search algorithm, and identifying a delay of a subwoofer; and performing delay calibration on the subwoofer and the main channels, and dynamically adjusting delay calibration parameters of the channels on the basis of a delay calibration amount, thereby achieving accurate time alignment between the subwoofer and the main channels. The present invention solves the problem of low-frequency signal delays that are difficult to process in conventional technologies, and particularly makes a breakthrough progress in the coordination of a subwoofer and other sound channels.

The invention relates to the technical field of defect detection, and discloses a method for detecting defects of live cable equipment by using a high-frequency current detection method, which comprises the following steps of: exciting the live cable equipment to generate a high-frequency current signal, and judging the optimal frequency of the high-frequency current signal by adopting the minimum signal propagation loss; the method comprises the following steps: acquiring a current signal on cable equipment through a high-frequency current sensor, and performing multi-scale time-frequency analysis on the signal through wavelet packet transformation; carrying out noise reduction processing on the converted signal to remove an interference signal and extract a partial discharge signal; positioning the partial discharge signal based on the Bayesian theorem, and judging the position of a partial discharge source; and classifying the partial discharge signals by adopting a support vector machine. The excitation frequency of the high-frequency current signal enables the signal transmission loss to be minimized and the extraction efficiency of the partial discharge signal to be improved, and the signal transmission efficiency is improved in a complex cable environment, so that the defect detection precision and sensitivity are enhanced.

According to the signal tracking method and device, the computer storage medium and the terminal, first tracking related information of a non-CSK modulation signal of a first frequency point is captured and tracked, and second tracking related information of a CSK modulation signal of a second frequency point is determined through the first tracking related information based on association of different modulation signals of the same satellite; the second tracking related information is determined through the first tracking related information of the non-CSK modulation signal, so that the resource consumption of capturing and tracking of the CSK modulation signal is reduced; and on the basis of the obtained second tracking related information, auxiliary tracking of the CSK modulation signal of the second frequency point is realized under the condition of reducing resource consumption.

A wireless transmit / receive unit (WTRU) may receive a downlink (DL) reference signal on a DL channel. The WTRU may measure a Doppler related parameter value based on the DL reference signal. The WTRU may estimate one or more time domain channel properties (TDCPs) of the DL channel associated with one or more delays. The one or more TDCPs may be based on the measured Doppler related parameter value. The WTRU may determine a confidence level for the one or more estimated TDCPs based on one or more of channel conditions, WTRU architecture, receive antenna configuration information, channel state information (CSI) reporting configuration, and / or system configuration. The WTRU may send a report that indicates the one or more estimated TDCPs and the confidence level for the one or more estimated TDCPs.

Apparatuses and methods for beam management for repeaters. A method for a network-controlled repeater (NCR) includes receiving, by an NCR mobile termination (NCR-MT) entity, first information for a list of spatial domain filters for an access link of an NCR forwarding (NCR-Fwd) entity, second information for a set of spatial relations corresponding to reference signals (RS) for transmission or reception on a control link (C-link) of the NCR-MT entity, and third information indicating an uplink (UL) or downlink (DL) direction for each time domain resource. The method further includes determining an UL time domain resource, a first spatial domain filter, and a second spatial domain filter based on the second information. The method further includes receiving, by the NCR-Fwd entity, a radio frequency (RF) signal on the access link using the first spatial domain filter and transmitting the RF signal on a backhaul link using the second spatial domain filter.

The invention discloses a GIS equipment shell vibration fault identification method and system based on a physical information neural network, and relates to the technical field of GIS fault diagnosis, and the method comprises the steps: collecting a vibration acceleration signal of the surface of a GIS shell; establishing a simplified physical model of the vibration system, and determining a control equation, initial conditions and boundary conditions of the vibration system; based on the HFT-MPINN or the RL-PINN, constructing a parameter inversion model; fusing physical constraint loss, experimental data loss and multi-parameter coupling loss of the vibration system to construct a composite loss function; training a parameter inversion model by using the vibration acceleration signal to obtain key physical parameters of the vibration system; time-frequency domain analysis and finite element simulation verification are combined, and the mechanical fault type and degree of the GIS equipment shell are recognized. According to the method, the modeling precision, the noise robustness and the multi-working-condition adaptability of the high-frequency vibration signals are improved, and reliable technical support is provided for intelligent fault diagnosis of GIS equipment.

Disclosed are a method for a terminal to perform a measurement related to positioning in a wireless communication system, and a device therefor, according to various embodiments. Disclosed are a method and a device therefor, the method comprising the steps of: reporting capability information about the terminal related to location measurement; receiving configuration information for the location measurement; performing a measurement on a received reference signal on the basis of the configuration information; and reporting a measurement result for the reference signal.

A method is for measuring a time lapse between a trigger and a pulse of a clock of a time-to-digital converter (TDC) device. The method includes the steps of: a) providing a delay line signal to a delay line of a TDC device; b) subsequently, at a measurement clock pulse: obtaining a measurement delay line state representing states of the delay cells; c) subsequently and within half a clock period of the measurement clock pulse: basing the delay line signal on a clock signal and providing the delay line signal based on the clock signal to the delay line; d) subsequently, at a calibration clock pulse: obtaining a calibration delay line state representing states of the delay cells, and e) computing the time lapse between the trigger and the measurement clock pulse based on the measurement amount of delay cells and the calibration amount of delay cells.

The present invention relates to the technical field of fault diagnosis, and provides a fault diagnosis method for a wind-turbine drive train based on time-frequency plane expectation maximization. The method comprises the following steps: configuring a cylindrical MEMS acceleration sensor on a drive chain of a wind turbine, and acquiring a vibration signal of the drive chain of the wind turbine via the cylindrical MEMS acceleration sensor; adopting a spectrogram-zero-based unsupervised classification method, acquiring a vibration signal and a rotational speed signal of the wind turbine during operation, generating a time-frequency representation of the vibration signal by using a short-time Fourier transform, and extracting spectrogram zeros and performing unsupervised classification to implement denoising processing of the vibration signal; on the basis of a multi-component signal estimation method under time-frequency plane expectation maximization, accurately estimating an instantaneous frequency and an instantaneous amplitude of a multi-component signal on a time-domain plane of the denoised signal; and performing order spectrum analysis to identify vibration signal characteristics of the drive chain of the wind turbine, so as to achieve fault diagnosis of the drive chain of the wind turbine under variable rotational speeds.

The invention relates to the technical field of cable insulation detection, and discloses a power cable insulation state evaluation method and system based on multi-dimensional feature fusion, and the method comprises the steps: collecting a high-frequency current signal on a cable grounding wire, extracting a power frequency phase, a discharge amplitude and a pulse frequency band width, and carrying out the normalization processing, thereby obtaining a sample set; calculating a local sparseness adaptive factor of each sample point, and calculating an energy weighted local density of each sample point; calculating the relative distance of each sample point, constructing a decision value, and determining the sample point with the larger decision value as a clustering center; calculating the path transmission reliability of the non-clustering center sample points relative to each clustering center, distributing the sample points with the path transmission reliability meeting a preset condition to the corresponding clustering center, and if the preset condition is not met, marking the sample points as noise; and extracting statistical characteristics according to the separated discharge clusters, and evaluating the insulation state of the cable by using a preset fault diagnosis rule base. According to the invention, the accuracy of cable insulation state evaluation can be improved.