18 results about "Magnetic impedance" patented technology

The invention discloses an intelligent monitoring system for an assembled net rack shear structure, and relates to the technical field of net rack structure health monitoring. A fiber grating sensor, an ultrasonic array, an electromagnetic coil and an energy assembly are integrated through a sensor integration module and a modular support; optical fiber strain, ultrasonic signals and electromagnetic impedance data are collected in real time; after the feature fusion module extracts key features through preprocessing, a fusion feature vector is obtained through an adaptive manifold projection fusion method; the shear force value prediction module takes the fusion feature vector as input, and obtains a shear force value prediction model through training by using an LSTM (Long Short Term Memory) model; and the net rack judgment module is combined with a DBSCAN algorithm to divide neighbor sensor network groups, and is used for judging the structure defect type based on a local anomaly concentration ratio LAC and an overall cooperative change rate GCR. According to the system, intelligent monitoring of the fabricated net rack shear structure is realized, and the monitoring precision and the defect identification accuracy are improved.

The present invention relates to a magnetic sensor. The object of the present invention is to improve the sensitivity of a magnetic sensor utilizing the magnetoimpedance effect. The solution of the present invention is a magnetic sensor characterized by comprising: a non-magnetic substrate; a sensing element provided on the substrate, the sensing element containing a soft magnetic body and having a long side direction and a short side direction, the sensing element having a uniaxial magnetic anisotropy in a direction intersecting the long side direction and sensing a magnetic field through the magnetoimpedance effect; and a protruding portion protruding from an end portion of the long side direction of the sensing element, the protruding portion containing a soft magnetic body.

The invention provides a large-scale generator outlet side PT primary winding turn-to-turn short circuit on-line monitoring method, which comprises the following steps: measuring a primary winding current through a primary current measuring device additionally arranged at a generator terminal voltage transformer PT, and inputting the primary winding current into a protection device; measuring the current of the secondary winding, the current of the open delta winding and the secondary voltage by using a protection device; virtual excitation current and virtual excitation voltage are calculated through a protection device according to measured data, secondary winding resistance detected in an offline mode and the known number of turns of a PT winding, virtual excitation impedance is further calculated, the module value of the virtual excitation impedance is taken, and the module value of the machine end PT virtual excitation impedance is obtained; the impedance module value is used as a monitoring index through the protection device, when the impedance module value is between the low-section fixed value and the high-section fixed value, an alarm is given, stator grounding protection is closed, and when the impedance module value is lower than the low-section fixed value, the stator grounding protection action is allowed. The method effectively improves the sensitivity of PT on-line monitoring, is easy to implement, and can find an insulation fault at the early stage of the fault.

The present invention relates to a magnetic sensor. The object of the present invention is to improve the sensitivity of a magnetic sensor utilizing the magnetoimpedance effect. The solution of the present invention is that a magnetic sensor (1) is provided with a non-magnetic substrate (10), and a sensing element (30) provided on the substrate (10), the sensing element (30) comprising a soft magnetic layer (101) of an amorphous alloy with Co as the main component, having a saturation magnetization of 300 emu / cc or more and 650 emu / cc or less, and the sensing element (30) having a long side direction and a short side direction, having uniaxial magnetic anisotropy in a direction intersecting the long side direction, and sensing a magnetic field by the magnetoimpedance effect.

A magnetic field measuring apparatus for measuring a to-be-measured magnetic field includes a magnetic impedance element with an impedance change rate that changes depending on the to-be-measured magnetic field, a drive signal providing section and a measurement range setting section. The drive signal providing section provides a drive signal to the magnetic impedance element. A measurement range setting section sets a measurement range in which the to-be-measured magnetic field can be measured. A relationship between the to-be-measured magnetic field and the impedance change rate is arranged to change depending on a frequency of the drive signal. The measurement range setting section is arranged to set the measurement range by setting the frequency.

A magnetic field detection sensor with: a magnetic impedance element designed to exploit a magnetic impedance effect; a bias coil designed to apply a bias field to the magnetic impedance element; an oscillator circuit designed to apply an alternating current to the magnetic impedance element; a differentiating circuit designed to differentiate an output signal of the magnetic impedance element; a flip-flop circuit configured to output a high-level signal and a low-level signal based on a trigger signal output by the differentiating circuit; and a computing unit configured to detect an external magnetic field based on a time course with high and low of the high-level signal and low-level signal output by the flip-flop circuit, wherein the magnetic field detection sensor is configured to detect the external magnetic field based on an output signal obtained by applying the alternating current to the magnetic impedance element, the magnetic impedance element comprises a non-magnetic substrate and a magnetic layer provided on a surface of the non-magnetic substrate, wherein a magnetic field detection direction coincides with a longitudinal direction of the magnetic impedance element and the magnetic layer is configured to have magnetic anisotropy such that a direction of an axis of its easy magnetizability coincides with the magnetic field detection direction, and The computing unit is configured to send a reset signal to the flip-flop circuit at the time of a drop in an AC bias frequency, and to detect the external magnetic field based on the duration of an initial high-level signal following the reset signal.

This invention relates to an artificial intelligence-based method, apparatus, device, and medium for identifying metal surface defects. The identification method comprises: simultaneously acquiring electromagnetic impedance signals and optical images of a metal surface using an eddy current sensor and an industrial camera; generating a spatially located interference region mask by quantifying the cross-physical field interference intensity of electromagnetic gradients and optical edge features; using the mask to compensate for the skin effect of the electromagnetic signals and simultaneously suppressing shadows in the optical images to achieve physical field decoupling; fusing the decoupled electromagnetic impedance features and optical texture features using a dual-branch neural network to establish a joint feature representation with cross-modal correlation; and analyzing the defect probability heatmap based on the fused features and combining geometric feature matching to output the defect type and coordinates. This method solves the problem of mixed defect features caused by mutual interference between electromagnetic and optical signals, significantly improving the identification accuracy and positioning reliability of micro-defects.

The invention relates to a non-unpacking verification method for industrial tool management equipment. The method comprises the following steps: acquiring a receiving request containing a target tool model identifier and calling a verification reference set; collecting a frequency deviation curve generated when the packaging box passes through the multi-axis coil and a shielding timestamp sequence of a photoelectric node, and converting a transient magneto-impedance module value curve after vector synthesis into a spatial domain electromagnetic integral quantity in combination with the passing speed; obtaining an axial passing length according to the shielding timestamp sequence; collecting the total mass of the packaging box; the spatial domain electromagnetic integral quantity is substituted into a regression model to deduce and predict the metal quality, and then the estimated packaging quality is calculated by combining the total quality; and performing comprehensive judgment based on the spatial domain electromagnetic integral quantity, the axial passing length, the total mass and the estimated packaging quality, and outputting a verification signal. The method has the advantages that the model and the integrity of the internal cutter can be accurately verified on the premise that the package is not damaged, and environmental interference factors such as package damp and falling postures are eliminated.

According to various implementations, an apparatus for electromagnetic impedance spectrographic characterization of a material under test (MUT) includes: a planar array of at least two electrodes configured to be placed in electromagnetic communication with the MUT, wherein during operation of the planar array, at least one of the electrodes comprises a transmitting electrode for transmitting an electromagnetic signal over a range of frequencies through the MUT to at least one receiving electrode in the planar array; and a backer ground plate at least partially surrounding the at least two electrodes, the backer ground plate being electrically grounded and insulated from the at least two electrodes, wherein the backer ground plate extends from a plane formed by the at least two electrodes and separates the at least two electrodes to create an electrically isolated volume proximate to the at least two electrodes.

Embodiments of the present disclosure relate to devices and methods for detecting impurities in semiconductor processing tools in real time. The real-time detection / analysis of the electromagnetic impedance and resonant frequency behavior can provide specific information about an ion / particle / chemical and / or a fingerprint in the semiconductor process.

The invention discloses a concentric magnetic integrated transformer type controllable reactor additionally provided with symmetrical magnetic leakage iron cores, and belongs to the technical field of reactors. The reactor comprises a magnetic integrated iron core, a winding and a silicon controlled rectifier module, the magnetic integrated iron core is of a two-window structure, the upper side and the lower side of each window are symmetrically provided with a leakage magnetic iron core set, the whole magnetic integrated iron core is internally provided with four leakage magnetic iron core sets, and each leakage magnetic iron core set is composed of a plurality of leakage magnetic iron cores arranged along the window. The leakage magnetic iron cores located on the same layer in the four leakage magnetic iron core sets bear a winding together, the winding on the innermost layer is wound on the main iron core column, and the winding is electrically connected with the silicon controlled rectifier module. According to the structure, the high magnetic leakage impedance provided by the magnetic integrated iron core is used for equivalently replacing discrete reactors connected in series with branches, meanwhile, the original electrical isolation capacity of the multi-winding transformer is kept, the overall structure of the system is remarkably simplified, and the manufacturing cost and the operation loss are effectively reduced.

A magnetic sensor includes: at least one sensitive element including a soft magnetic material and having a longitudinal direction and a transverse direction and a uniaxial magnetic anisotropy in a direction intersecting the longitudinal direction, the at least one sensitive element being configured to sense a magnetic field by a magnetic impedance effect; at least one protruding portion including a soft magnetic material and protruding in the longitudinal direction from a longitudinal end of the at least one sensitive element; and a guiding member disposed opposite the at least one protruding portion and made of a soft magnetic material, the guiding member being configured to guide magnetic field lines toward the at least one protruding portion.

Embodiments of the present disclosure relate to apparatus and methods for detecting impurities in semiconductor processing tools in real time. The real time electromagnetic impedance and resonance frequency behavior detection / analysis can provide specific ion / particle / chemical information and / or fingerprint in the semiconductor process.

The application discloses a virtual magnetic core transformer with a composite magnetic induction loop and a magnetic circuit parameter configuration method thereof, and belongs to the technical field of power generation, power transformation or power distribution. Based on the assumption that each composite magnetic induction winding is a concentrated winding, a generalized magnetic impedance matrix representing the coupling relationship of each loop is constructed, a condition equation with a zero real part of a matrix determinant is established, and a general analytical solution of a compensation capacitor is solved. Furthermore, a plurality of composite magnetic induction branches are set as a symmetrical structure with the maximum main magnetic flux as the target, and the simplified analytical solution of the compensation capacitor value adjusting with the branch number is obtained under the condition of ignoring the branch parasitic resistance, so that a direct basis is provided for the design and parameter selection of the transformer. The application directly reveals the magnetic resistance compensation mechanism, avoids complex circuit equivalent transformation, effectively suppresses the primary excitation current, disperses the thermal stress of the composite magnetic induction loop, widens the effective magnetic impedance bandwidth, and reconstructs the low magnetic resistance characteristic of the transformer under the premise of no magnetic core.

The invention discloses an electromagnetic current transformer state evaluation method, device, equipment and medium, and the method can quantitatively analyze the contribution of each factor to the excitation performance evolution by establishing a nonlinear mapping relation between the excitation impedance of a current transformer and multi-dimensional factors such as secondary load, frequency, primary current and the like. Based on the nonlinear mapping relation and a parameter estimation algorithm, an excitation characteristic curve of the current transformer in an operation state can be realized, online evaluation of the health state of the current transformer is realized, and through combination of long-term operation data and the nonlinear mapping relation, prediction of the operation life of the current transformer can be realized. And the method is simple in algorithm, convenient to deploy and suitable for on-site real-time application requirements.

This invention belongs to the field of transformer monitoring technology and discloses an online monitoring method and related device for the internal condition of a transformer. By injecting an AC micro-current excitation signal into the low-voltage side of the transformer, voltage response, vibration response, and background power frequency current signals are simultaneously acquired. After frequency domain processing, the electromagnetic impedance spectrum and vibration transfer function spectrum are obtained. Based on the initial health state reference spectrum, the normalized electromagnetic-mechanical coupling coefficient across the entire frequency band is calculated, and a comprehensive health index is calculated by combining the winding mechanical resonance frequency, thus achieving condition monitoring. This method realizes real-time online non-destructive monitoring of transformers under normal operation, continuously tracking equipment status without power outages. Through the collaborative sensing of multiple physical quantities, the detection sensitivity for early minor winding deformation and core loosening is significantly improved, effectively capturing fault precursors and comprehensively enhancing the accuracy and reliability of condition assessment, meeting the high-precision and real-time requirements of the power grid for transformer operation and maintenance.

The invention discloses a low-pass and band-pass magnetic filter based on a vector magnetic circuit theory. The magnetic filter is a frequency selective magnetic impedance network composed of a transformer and a negative magnetic resistance element. The negative magnetic resistance element is a winding coupled with a magnetic circuit and connected with a negative reactance element, and the negative reactance element is a capacitor or an equivalent capacitance circuit; the addition mode of the negative magnetic resistance element is that the negative magnetic resistance element is connected in parallel or in series with the primary winding and / or the secondary winding of the transformer, or the negative magnetic resistance element is additionally arranged on a magnetic circuit coupled with the primary winding and the secondary winding of the transformer. On the basis of a vector magnetic circuit theory, according to signal frequency selection requirements, a magneto-impedance network which has extremely low magneto-impedance in a required frequency range and extremely high magneto-impedance outside the range is designed, and the magneto-impedance network is used for extracting target frequency band signals from complex signals in a high-purity mode. The technical problem that existing electromagnetic signal filtering means are deficient can be solved.

This invention discloses a Fe3O4-infused composite material for gasification slag, its preparation method, and its application. The preparation method of this composite material includes the following steps: S1: Mixing coal gasification slag and polyvinylpyrrolidone, then adding the mixture to water, followed by ultrasonication and stirring to obtain a suspension; S2: Dissolving FeCl3·6H2O and FeCl2·4H2O separately in water, then adding them to the suspension from S1, mixing thoroughly to obtain a mixed solution, and adjusting the pH of the mixed solution to 10-11 using NH3·H2O for reaction; S3: Washing and drying the product after the reaction to obtain the Fe3O4-infused composite material for gasification slag. This invention synthesizes a multi-interface Fe3O4-infused composite material for gasification slag using a direct co-precipitation method. This composite material exhibits excellent microwave absorption properties, characterized by high electromagnetic loss and a wide absorption band; with a thickness of only 2.7 mm, the composite material has a high RL (radiofrequency response)... min The effective bandwidth is -28.10 dB, while the effective bandwidth reaches 4.00 GHz with a thickness of 1.7 mm. The excellent absorption performance of the composite material is due to its multi-interface structure and good electromagnetic impedance matching, as well as the cooperative effect between the dielectric and magnetic loss.