6 results about "Normal mode" patented technology

The invention relates to the technical field of fault detection, and discloses a diesel generating set fault detection method and system based on deep learning, and the method comprises the steps: obtaining first vibration signal data, and carrying out the time-frequency decomposition, and obtaining a dynamic change feature; de-noising processing is carried out on the dynamic change features to obtain a time-frequency feature sequence; extracting a peak energy distribution data set, and calculating each frequency band entropy value to obtain a frequency band entropy value sequence; classifying the frequency band entropy sequence, determining a random fluctuation reference mode, and separating to obtain an abnormal frequency component; calculating a spectral line spacing and amplitude ratio, obtaining a spectral line feature data set, classifying the spectral line feature data set, and determining a fault classification result; obtaining current second vibration signal data, performing similarity calculation on the current second vibration signal data and a pre-established normal mode library, and outputting a fault feature vector; and verifying the fault feature vector to obtain a final fault detection result. According to the method, closed-loop diagnosis from signal acquisition to fault classification can be realized, and the fault detection precision of the diesel generating set is improved.

The application provides a method and system for normal mode dispersion modal decomposition and sound source depth estimation, wherein the method comprises the following steps: S1, obtaining a vertical array space-frequency domain signal; S2, obtaining each order space parameterization model; S3, obtaining a frequency parameterization model; S4, jointly establishing a space-frequency parameterization superposition model of the vertical array space-frequency domain signal; S5, optimizing and solving each order space-frequency parameter matrix; S6, reconstructing each order space modal function and each order dispersion modal response; and S7, constructing a sound source depth estimation index, and optimizing and solving a sound source depth value. The application jointly models the space modal function and the frequency modal response by parameterization, can simultaneously decompose complex normal mode dispersion modes in the space domain and the frequency domain, simultaneously reconstructs each order space modal function and frequency modal response, and can better utilize the rich information of normal modes in the space and frequency dimensions, and has a better modal decomposition effect compared with a traditional single frequency point modal decomposition method.

The present application belongs to the field of underwater target recognition, and proposes a robust discrimination method for the depth attribute of line spectrum target of vertical array. The method increases sampling points in the depth direction of shallow water waveguide, filters the internal coupled mode of the received sound pressure amplitude of vertical array by using the mode orthogonality formed by vertical array sampling, and extracts the robust line spectrum sound pressure amplitude fluctuation feature in the horizontal distance dimension of sound source. The sound pressure amplitude of vertical array is obtained by fusing the array element data. The mode orthogonality makes the sound pressure amplitude of vertical array eliminate the influence of the coherent term of normal mode related to the distance of sound source and the receiving depth on the line spectrum amplitude fluctuation feature. The present application uses a small amount of sound pressure amplitude data of vertical array to construct the discrimination feature quantity sound pressure amplitude fluctuation index, realizes efficient discrimination, and has small calculation amount. At the same time, the discrimination performance of the depth attribute of sound source does not decrease with the change of the relative horizontal distance of sound source, and has robustness.

The invention provides a normal wave limiting mode-based tolerance distance estimation method and system under two sound tracks of an arctic ice region, and the method comprises the steps: carrying out the simulation prediction of the frequency domain sound pressure, phase velocity, group velocity and modal covariance matrix of a test sea area of the arctic ice region through a normal wave model; the method comprises the following steps: converting a time domain signal received by a vertical array of an ice sea area into frequency domain data by adopting fast Fourier transform; obtaining sound velocities and depths corresponding to the upper boundary, the sound channel axis and the lower boundary of the Port waveguide according to the double-sound-channel sound velocity profile of the test sea area; according to the phase velocity dispersion curve and the intersection point of the upper boundary of the Port waveguide and the axial sound velocity of the sound channel, obtaining an order index of a Port waveguide mode; carrying out modal separation by utilizing a matched filtering modal filtering method, and extracting a modal limited in the muffle waveguide; and constructing a distance estimation operator of the tolerance of the ice layer and the seabed based on the extracted modality in the muffle waveguide, and realizing tolerance estimation of the underwater target distance.

We provide a large-scale multi-qubit trap ion gate. [Solution] A system (20) for quantum computing includes an array of qubits (40) and a radiation source (28) that simultaneously irradiates multiple qubits in the array with radiation containing a set of spectral components in multiple vibrational sidebands of the internal transition frequencies of the qubits, each having a different complex amplitude. The sidebands are generated by a group of normal modes having a minimum spacing Δf between their respective vibrational frequencies. A controller (32) initializes a multi-qubit gate containing at least five qubits to an initial state and drives the radiation source to irradiate each qubit with radiation containing the respective complex amplitude of the spectral components in a selected set, so as to switch the multi-qubit gate to a target state within a gate time of less than 50 / Δf.

To reduce common mode noise and normal mode noise.SOLUTION: A device includes at least one first core positioned between multiple wiring lines and formed by laminating a first thin plate made of a magnetic material, and at least one second core formed by laminating a second thin plate made of a magnetic material, the second core is joined to both ends of the first core so as to surround the multiple wiring lines together with the first core, and the joining surface between the first core and the second core is magnetically conductive but electrically insulated, thereby further reducing common mode noise and normal mode noise.SELECTED DRAWING: Figure 1