188 results about "Frequency coupling" patented technology

The invention discloses a digital control uninterruptible power supply parallel operation phase locking method, which relates to the technical field of digital phase locking, and comprises the following steps of: in each analysis period, acquiring an output voltage waveform signal and a current frequency disturbance control parameter of each uninterruptible power supply, and respectively executing short-time Fourier transform to obtain an output voltage waveform signal and a current frequency disturbance control parameter of each uninterruptible power supply; and converting the time domain signal into a multi-dimensional dynamic spectrum matrix, extracting frequency and amplitude parameters of a disturbance signal, and constructing a corresponding uninterruptible power supply disturbance parameter set. According to the invention, through dynamic spectrum analysis and frequency domain coupling tensor modeling, accurate extraction of UPS modulation signal features and dynamic evaluation of resonance risk indexes are realized, in combination with a risk-driven frequency intervention mechanism, frequency coupling is broken, the frequency diversity and disturbance decoupling capability of the system are improved, and the reliability of the system is improved. The stability, the anti-interference performance and the intelligent response capability of the parallel system are obviously enhanced, and early warning and active suppression of lock point resonance are realized.

The invention discloses a transcranial magnetic navigation and curative effect evaluation system based on electroencephalogram power spectrum analysis, particularly relates to the technical field of electroencephalogram signal processing, and is used for solving the technical problem that existing transcranial magnetic stimulation treatment lacks interference evaluation and stimulation path optimization on a cortical collaborative area. According to the method, electroencephalogram signals of a testee in a resting state and a task state are collected, phase-amplitude coupling indexes between frequency bands are extracted, a frequency-crossing coupling matrix is constructed, a nested chain structure with modulation direction consistency is identified, a stable resonance channel group is extracted from a channel intersection set to form a collaborative active region, and the collaborative active region is constructed. And after mapping to a standard brain map, carrying out space matching with a TMS target spot, evaluating an interference risk level, formulating a stimulation avoidance strategy, recording side reactions during treatment, and constructing a curative effect scoring window in a normalization manner, so as to realize synchronous optimization of stimulation planning and curative effect evaluation.

The invention belongs to the technical field of comprehensive utilization of ocean renewable energy sources, and particularly relates to a pilot frequency coupling-based wind wave energy multi-degree-of-freedom broadband control method, which comprises the following steps of: performing frequency domain identification on wind wave environment characteristics, and constructing a wind wave pilot frequency energy coupling model; based on the motion response characteristics of the multi-degree-of-freedom floating platform, designing a pilot frequency energy regulation and conversion mechanism; a full-working-condition dynamic optimization control strategy is adopted, and cooperative operation and energy flow self-adaptive distribution of the wind energy conversion unit and the wave energy conversion unit are achieved. Aiming at the significant difference and relevance of wind energy and wave energy in frequency characteristics, time scale and spatial distribution, a pilot frequency wind wave coupling dynamic model is established, and broadband capture of low-frequency wind-induced and high-frequency wave-induced coupling energy is realized under complex sea conditions through multi-degree-of-freedom motion decoupling and state observation, so that the wind-induced and high-frequency wave-induced coupling energy is obtained. The energy utilization rate, the attitude stability and the structural safety of the system are effectively improved, and good robustness and engineering adaptability are achieved.

The invention relates to the technical field of power battery health state evaluation and anomaly recognition, in particular to a remote health state analysis and anomaly recognition method for an electric bicycle battery, which comprises the following steps of: under an access working condition, applying small-signal active excitation and synchronously acquiring to form an opportunity diagnosis excitation data window; time-frequency coupling modeling including equivalent impedance modeling, harmonic wave and intermodulation fingerprint modeling, Koopman operator modeling and entropy coefficient difference is carried out, and a spectral measurement geometric distance is constructed through optimal transmission to generate a multi-domain response packet, a physical invariant vector and an uncertainty matrix; according to the geometric distance and consistency score gating and hierarchical standardization, obtaining a health state estimation record and an abnormal event set by adopting a shape-limited health mapping model; and in combination with mapping Jacobian and dual potential, generating an opportunity diagnosis incentive plan of a next period by adopting D-optimal test design, and updating a group health manifold, thereby realizing cross-environment, cross-equipment and traceable remote health assessment and early anomaly recognition.

The invention discloses an LSTM (Long Short Term Memory)-based harmonic frequency coupling model optimization method for a network construction type converter, which considers the influence of a dead zone and establishes a converter model controlled by a virtual synchronous generator based on a harmonic state space method. In the power electronic modeling process, due to approximate simplification, switch neglecting and other nonlinear relations, the model is not accurate enough, meanwhile, in the harmonic state space model modeling process, system state variable parameters need to be considered, and the precision of the model affects harmonic transmission characteristics and coupling analysis, so that the modeling efficiency is greatly improved. Errors caused by power electronic modeling are reduced through an LSTM neural network algorithm, the harmonic amplitude estimation difference is reduced, state variable parameter values in a system model are accurately estimated, the model precision is further improved, and then the harmonic coupling condition under the dead zone influence is effectively and accurately analyzed.

The invention is suitable for the technical field of data processing, and provides a new energy station voltage and frequency coupling cooperative control performance online evaluation method, which comprises the following steps: acquiring a three-phase voltage signal, a frequency signal, a unit output power signal and a power grid dispatching instruction signal of a new energy station grid-connected point, and calculating a voltage and frequency coupling characteristic matrix; performing collaborative quantitative analysis to generate a collaborative parameter matrix; performing control performance evaluation on the collaborative parameter matrix based on the collaborative evaluation network structure to generate collaborative evaluation parameters; constructing a dynamic coupling constraint function, and calculating to obtain a collaborative stability boundary representing the operation state of the station; and dynamically correcting the collaborative evaluation parameters to generate a station control performance optimization sequence. And the safety, the stability and the electric energy quality of the operation of the new energy station are effectively improved.

The invention relates to a DC power transmission system oscillation suppression method based on a matrix passivity theory. The method comprises the following steps: firstly, establishing a converter admittance matrix under a frequency coupling effect; then, constructing a stability criterion of the direct-current power transmission system based on the admittance matrix of the converter in combination with a matrix passivity theory; and finally, based on the stability criterion of the direct-current power transmission system, adding active damping and passive damping, adjusting corresponding parameters, and suppressing medium-high frequency oscillation of the direct-current power transmission system. The method can solve the problem of dependence on power grid side impedance modeling, constructs the stability criterion of the DC power transmission system by directly analyzing the admittance matrix characteristics of the converter, adapts to the complex situation when the AC grid side operation condition changes, and can completely suppress the medium-high frequency oscillation of the DC power transmission system. An unstable interval of a direct current system is transferred to a high frequency band through active damping, strict stability of the direct current power transmission system in middle and high frequency bands is achieved through passive damping, and the strategy cost is reduced.

The invention relates to the technical field of machine learning, and discloses a transformer operation state intelligent identification method based on machine learning, which is applied to a 110kV-500kV transformer and an edge-cloud collaborative architecture of an online monitoring system of the 110kV-500kV transformer. According to the method, multi-modal features are extracted based on multi-channel cleaning data, a modal enhancement TCN model fusing kernel feature mapping and a Koopman operator is introduced, and time-frequency coupling modeling and hidden space state representation are achieved. The model realizes online recursion and working condition adaptive tracking through a Sherman-Morrison incremental updating mechanism, outputs an operation state identification result and a risk score, realizes millisecond alarm linkage through an IEC 61850 GOOSE protocol, and provides high-precision and traceable technical support for intelligent monitoring and operation and maintenance of a transformer of a transformer substation.

The invention discloses a building electrical circuit arc fault multi-dimensional detection and positioning method and system. The method comprises the following steps: injecting a low-amplitude broadband excitation signal into a key node of a power distribution loop through an electromagnetic excitation and sensing device, collecting a line response waveform and establishing a steady-state electromagnetic response baseline; performing self-correlation operation and spectral analysis based on the baseline, extracting formant frequency, energy distribution and bandwidth characteristics, and generating an electromagnetic modal characteristic fingerprint; through constructing a time-frequency coupling resonance matrix, formant frequency shift amount and energy gradient change are monitored in real time, and an abnormal resonance state of a line is identified. After abnormality is detected, establishing a spatial positioning equation according to multi-node phase distribution, and determining the position of an arc or a breakdown source by adopting a phase inversion algorithm; calculating a line stability coefficient by combining a positioning result and time sequence resonance data, and predicting an arc risk level; when the risk level exceeds a threshold value, an electromagnetic compensation module is activated, an opposite-phase suppression signal is generated and injected into an abnormal area, and active protection closed-loop control is achieved.

The invention discloses a network construction converter equivalent sequence impedance modeling method considering frequency coupling and time delay, and belongs to the technical field of power electronics. The network construction converter equivalent sequence impedance modeling method can accurately establish a complete and comprehensive network construction converter equivalent sequence impedance model with clear physical significance; and a basis for improving broadband interaction stability problem analysis and impedance matching optimization of the power grid is provided. Based on the model, the application of the network construction type converter in the micro-grid is promoted, the influence characteristic of digital delay on the output impedance of the converter is determined, and a theoretical basis is provided for optimizing the high-frequency stability of the network construction converter. The method can be applied to various scenes such as new energy power generation grid connection, distributed power supply access and a micro-grid, and provides technical support and a solution for stable operation of a modern power system.

The invention discloses a dual-frequency positive-sequence impedance modeling method for a network-building type energy storage converter considering frequency coupling. The method comprises the following steps: 1, injecting a dual-frequency positive-sequence disturbance voltage signal at a grid-connected point of the network-building type energy storage converter based on a virtual synchronous machine; 2, establishing a linearized small signal model for each control link of an active-frequency loop, a reactive-voltage loop, a virtual impedance-containing voltage and current double closed loop and the like to form a multi-frequency signal model; and 3, according to the multi-frequency coupling relationship between the current and the voltage, constructing a frequency coupling impedance matrix, and reducing a coupling term into output impedance to obtain the positive sequence output impedance and the negative sequence output impedance of the converter considering the frequency coupling, thereby simplifying the model stability analysis. According to the method, dual-frequency positive sequence disturbance is introduced, the coupling effect between different frequency components is effectively described, the defect that a traditional single-frequency modeling method cannot reflect the multi-frequency interaction characteristic is overcome, and the accuracy and applicability of the impedance model of the network construction type energy storage converter under the multi-frequency disturbance scene are remarkably improved.

The invention discloses a holosymmetric four-mass MEMS gyroscope which comprises four sensitive mass block coupling structures which are arranged in a central symmetry manner, and four first U-shaped beams, four n-shaped beams and a cross-shaped coupling structure which are arranged in a central symmetry manner and are connected with the four sensitive mass block coupling structures, compared with the prior art, the four sensitive mass block coupling structures are designed compactly and symmetrically, so that the sensitivity can be effectively improved, and thermally induced drift can be effectively reduced. The driving mode and the working mode are separated through the specific coupling mechanism, so that frequency coupling is avoided, and environmental vibration interference is reduced. And meanwhile, the symmetry of the structure is beneficial to uniform distribution of thermal stress or mechanical stress, so that zero drift caused by temperature change is inhibited.

In a general aspect, a multi-qubit quantum logic gate for a multi-qubit hardware-efficient stabilizer measurement is performed. In some implementations, a superconducting quantum processing unit includes a stabilizer check qubit device and two or more data qubit devices operably coupled to the stabilizer check qubit device through respective tunable-frequency coupler devices. A method includes applying a multi-qubit quantum logic gate on the stabilizer check qubit device and the two or more data qubit devices. Applying the multi-qubit quantum logic gate includes evolving the stabilizer check qubit device and the two or more data qubit devices under an interaction Hamiltonian with a plurality of terms. Each of the plurality of terms corresponding to an interaction between the stabilizer check qubit device and a respective one of the two or more data qubit devices, includes a phase combined with a Pauli operator applied to the stabilizer check qubit device and the Pauli operator applied to the respective one of the two or more data qubit devices.

The invention provides a grid-connected inverter impedance modeling method and system in a multivariable control mode. The method comprises the following steps: firstly, carrying out two-port equivalence on a to-be-analyzed and modeled grid-connected inverter to obtain a main circuit core equation; secondly, after disturbance is added, a harmonic linearization method is used for modeling a phase-locked loop under current response of voltage disturbance to obtain a corresponding phase-locked loop model considering coupling, coupling components of all frequency bands are fully considered, and the frequency coupling rule of the inverter is revealed; and finally, based on a multivariable control mode, introducing different control parameters to obtain grid-connected inverter impedance models in different control modes. Compared with a traditional inverter impedance modeling method, the grid-connected inverter impedance modeling method not only considers coupling response mechanisms under various frequencies, but also considers the impedance model under the influence of different control variables, and improves the precision and accuracy of the grid-connected inverter impedance model.

The invention provides a multi-input and multi-output frequency coupling admittance modeling method for a follow-up network fan, and belongs to the technical field of large-scale follow-up network type and follow-up network type fan frequency coupling admittance modeling. The technical problem that a network following type GFL and network constructing type GFM doubly-fed fan series-parallel system in a wind power plant lacks an accurate small-signal modeling and analysis method is solved. According to the technical scheme, the method comprises the following steps: S1, establishing an open-loop doubly-fed motor self admittance considering stator and rotor flux linkage dynamics; s2, obtaining frequency domain multiple-input multiple-output admittances of the following network type doubly-fed fan and the constructed network type doubly-fed fan; s3, obtaining a unified multiple-input multiple-output admittance frequency domain model containing a closed loop interconnection system formed by the following network type doubly-fed fan admittance YGFL and the construction network type doubly-fed fan admittance YGFM; and S4, quantitatively evaluating a phase-locked loop parameter and a virtual synchronous control parameter. According to the invention, accurate determination of frequency coupling oscillation is realized.

The invention relates to the field of laser shock peening, and particularly discloses a laser shock peening black adhesive tape damage monitoring method based on sound signals, which comprises the following steps: collecting laser shock discrete sound signals, obtaining a discrete sound signal sequence, and carrying out Hilbert envelope extraction on the discrete sound signal sequence to obtain envelope signals; performing weighting processing on the extracted envelope signal to obtain a weighted envelope, and constructing a loudness index based on the weighted envelope; short-time window frequency analysis is adopted, a dominant frequency sequence with the dominant frequency changing along with time is extracted, and the dominant frequency stability offset is calculated according to the dominant frequency sequence; and constructing a loudness-frequency coupling damage scoring criterion, and calculating a damage score. According to the method, the damage identification sensitivity is remarkably improved, the real-time online monitoring of the laser shock process is realized, the environmental adaptability is high, the engineering deployment is simple and convenient, the consistency of the laser shock peening quality is remarkably improved, and meanwhile, the method has good expandability and universality.

The application discloses a universal numerical aggregation method and system for frequency coupling admittance / impedance, and the method comprises the following steps: determining a frequency coupling admittance model of a converter; acquiring complementary frequency sums in the frequency coupling admittance model; splitting an original network of the converter into a first network and a second network corresponding to the complementary frequency sums respectively; connecting the frequency coupling admittance model to the first network and the second network respectively, and generating a first admittance matrix and a second admittance matrix corresponding to the first network and the second network; merging the first admittance matrix and the second admittance matrix into an extended node admittance matrix; and performing coupling frequency admittance calculation on specified network nodes based on the extended node admittance matrix.

The invention provides an offshore wind power prediction method and system, and the method comprises the steps: 1, collecting the power time series data of a wind turbine generator or a wind power plant and multi-source external variables, carrying out the time alignment, and defining a prediction object and a causality constraint; step 2, data preprocessing; step 3, performing time domain multi-scale decomposition; step 4, performing frequency domain decomposition and tri-band reconstruction based on self-adaption on the power signal, and constructing two-dimensional time-frequency coupling strength; 5, outputting a main prediction result; step 6, modulating the error correction model through a risk gating weight; and step 7, updating risk gating weight related parameters based on historical prediction errors to obtain final prediction output. According to the method, on the premise of meeting strict causal constraint and online deployment requirements, the precision, stability and long-term adaptive capacity of offshore wind power prediction under the conditions of strong non-stability and sudden disturbance can be remarkably improved.

The application belongs to the technical field of antennas, and discloses a coupled resonator decoupling network system applied to MIMO antenna array double-frequency coupling suppression, which comprises a radiating antenna array, a metal floor, a transmission line structure, a single-branch matching network, a three-port double-frequency CRDN structure and a dielectric substrate; the radiating antenna array, the transmission line structure, the single-branch matching network and the three-port double-frequency CRDN structure are printed on the upper layer of the dielectric substrate, and the metal floor is printed on the lower layer of the dielectric substrate; the application has clear principles, mature technology, stable structure, low cost, simple processing technology and is suitable for large-scale production; the application realizes the suppression of mutual coupling of the antenna array in two frequency bands at the same time in a limited space, is suitable for the double-frequency decoupling demand of a compact space multi-antenna system, does not occupy too much additional volume, has low profile and scalability, and can be popularized to different antenna types and other working frequency bands.

The application discloses a kind of central air conditioning system outlet water temperature and cold hot water pump frequency coupling operation method, including S1, collection basic data;S2, based on the basic data collected analysis central air conditioning cold and heat load influencing factor;S3, based on the cold and heat load influencing factor analyzed, constructs decision regression tree model;S4, according to the decision regression tree model constructed, central air conditioning system is carried out cooling and heating condition division;S5, according to the condition category divided to central air conditioning operation data is screened, determines the optimal host outlet water temperature and cold hot water pump frequency under each condition category as corresponding condition optimal setting parameter, realizes coupling operation.(1) the operation control method provided by the application simultaneously to host outlet water temperature and cold hot water pump frequency optimization, improve the energy-saving potential of central air conditioning system;The method of the application starts from actual engineering data, optimizes water temperature and water pump frequency while ensuring indoor comfort requirements, ensure the feasibility of the method.

The application discloses a harmonic compensation and stability improvement method, system, medium and equipment, filters components of a grid voltage in a two-phase static coordinate system to obtain corresponding fundamental components; subtracts the fundamental components of the grid voltage from the components of the grid voltage in the two-phase static coordinate system to obtain total harmonic components of the grid voltage; filters the total harmonic components of the grid voltage by using multiple band-pass filters to obtain multiple harmonic components corresponding to frequencies; subtracts reference current instructions of an active power filter from the multiple harmonic components, and inputs the result as a new current reference instruction into a current controller; and based on a virtual harmonic admittance method, outputs harmonic compensation currents through current inner loop control in the two-phase static coordinate system to realize harmonic compensation on a nonlinear load with frequency coupling characteristics and suppression of harmonic compensation oscillation. The application can adapt to various complex grid environments and has relatively practical engineering application value.

This invention proposes a simulation method and system for the current response of distribution networks based on multi-frequency coupling effects, belonging to the field of power system modeling and simulation technology. The method includes: obtaining the frequency domain admittance matrix of the distribution network; extracting the same-frequency admittance vector and coupled admittance vector; converting each admittance vector into a transfer function, and then converting the transfer function into a discrete state-space model; preprocessing the voltage input signal using dq transform to reconstruct components at specified frequencies; substituting the preprocessed voltage signal into the discrete state-space model to obtain the current response of each frequency component; solving for the optimal weighting coefficients using an adaptive weighting strategy, and linearly superimposing the current responses to obtain the real-time simulated total current response.

The invention relates to a modeling method, an analysis method, a device and a medium for the overall impedance of a new energy field station containing a network construction converter, and the modeling method is based on a harmonic linearization method, and comprises the steps: carrying out the modeling according to a main circuit equation, a power outer loop and a voltage and current inner loop control equation of the network construction converter; and then the frequency coupling characteristic is combined, the converter and the power grid are regarded as a whole, and the overall impedance model of the new energy grid-connected system containing the network-forming converter is obtained. The method can accurately characterize the overall frequency domain characteristics of the grid-forming converter system under the influence of power grid impedance, and is suitable for stability analysis of a grid-connected system.

The present application relates to the technical field of power battery health state evaluation and abnormality identification, and particularly relates to a remote health state analysis and abnormality identification method for an electric bicycle battery, which comprises: applying a small signal active excitation under an admitted working condition and synchronously collecting to form an opportunity diagnosis excitation data window; developing time-frequency coupling modeling, including equivalent impedance, harmonic and intermodulation fingerprint, Koopman operator modeling and entropy coefficient difference, and generating a multi-domain response package, a physical invariant vector and an uncertainty matrix by constructing a spectral measure geometry distance with an optimal transmission; gating and layering standardization according to the geometry distance and consistency score, obtaining a health state estimation record and an abnormal event set by using a shape-constrained health mapping model; combining the mapping Jacobian and the dual potential, generating a next-period opportunity diagnosis excitation plan by using D-optimal test design and updating the population health manifold, so as to realize remote health evaluation and early abnormality identification across environments and devices and with traceability.

The application provides a synchronous disturbance double-fed wind turbine multi-frequency coupling classification method, comprising: applying different frequencies to the control response of a wind turbine converter to obtain components of three-phase voltage and current coupling generated frequencies of the double-fed wind turbine under different frequencies; obtaining a coupling rule of the double-fed wind turbine based on the components of three-phase voltage and current coupling generated frequencies of the double-fed wind turbine under different frequencies; and determining the frequencies of three-phase voltage and current of the double-fed wind turbine through the components of the to-be-acquired frequencies and the coupling rule. The application effectively classifies the multi-frequency coupling of the double-fed wind turbine under subsynchronous disturbance by combining the flux linkage coupling of the asynchronous motor of the double-fed wind turbine and the control response of the wind turbine converter.

The invention discloses a virtual synchronous generator (VSG) inversion side sequence impedance modeling method, which relates to the technical field of power electronic equipment modeling, and comprises the following steps: in a fixed control loop of a grid-connected system, setting an expression of to-be-modulated internal potential output after voltage and current pass through a control loop in a fixed channel as a channel coefficient; the channel coefficient represents a transfer relation that voltage or current signals with different frequencies are output to the internal potential to be modulated after being acted by the control loop under a fixed control loop, and the process is realized by introducing the concept of the channel coefficient in the control loop. The method identifies and quantifies how voltage and current disturbance signals with different frequencies influence different frequency components of output internal potential through a specific control channel, elaborates the coupling path, elaborates the frequency coupling relationship between positive and negative sequences in detail, clarifies the coupling path and frequency direction in a control loop, and improves the accuracy of the control loop. And the final VSG inversion side sequence impedance model can guide the optimization of an actual grid-connected system.

The application discloses a kind of epilepsy electroencephalogram signal identification method, system, equipment and storage medium, comprising: obtaining electroencephalogram signal, and the phase synchronization information between different channels is calculated as edge feature according to electroencephalogram signal;Filtering electroencephalogram signal, respectively calculate and extract the time domain feature, dynamics feature and phase amplitude coupling feature corresponding to each channel different wave band, and fusion is node feature;The edge feature and node feature obtained are integrated into a graph, classified using a graph attention network model, and the electroencephalogram signal is judged and identified according to the classification result.The application proposes a high-performance, prior-explainable classification method for epilepsy signal identification and prediction, which not only considers the interaction between different channels, but also focuses on and extracts the deep features of the time domain, dynamics, cross-frequency coupling and other features of the node itself, and is more accurate for classifying electroencephalogram signals in different periods.

The application discloses a kind of multi-modal partial discharge signal's adaptive filtering and intelligent separation method, and the application is related to power equipment insulation state monitoring and signal processing technical field, comprising the following steps: step S1: real-time acquisition power equipment partial discharge signal, and synchronously obtain equipment operating parameter and environmental noise signal.The multi-modal partial discharge signal's adaptive filtering and intelligent separation method, by dynamic coupling degree modeling and the synergistic mechanism of double-channel confrontation type decoupling, effectively solves the mode aliasing and feature distortion problem caused by signal and noise time-frequency coupling in dynamic noise environment in traditional method.Dynamic coupling path perception module quantifies the interactive characteristics of noise and signal in real time, combined with the double-channel architecture of complex domain phase-sensitive filtering and vibration trajectory matching filtering, realizes the accurate suppression of high-frequency transient interference and low-frequency periodic noise.

The invention discloses a disturbance analysis method and system for node voltage and current and converter impedance mapping. The method comprises the following steps: determining parameters of a network construction type converter control model and a network following type converter control model by taking stability of a system in which a network construction type converter and a network following type converter coexist as a target; establishing a frequency coupling characteristic admittance model under disturbance when the network construction type converter and the network following type converter coexist by using an alternating current port admittance model of the network construction type converter and an alternating current port admittance model of the network following type converter, which are obtained by adopting a small signal analysis method; based on the frequency coupling characteristic admittance model, constructing alternating current port admittance models of the network type converter and the network type converter, and determining equivalent output impedance of the converter; the phase angles of the equivalent output impedance and the impedance sum of the converter and the phase angle of the equivalent output impedance of the converter are obtained, system stability analysis under disturbance is carried out, and the potential instability problem is more effectively prevented and dealt with.

The invention relates to a propeller-shaft-ship coupling modulation sound signal simulation analysis method. The invention relates to the technical field of ship vibration and noise reduction, and provides a propeller-shaft-ship coupling structure real-scale analysis model, coupling domain defining and assembling, grid dividing and grid unit type specifying, coupling surface interaction defining, structure connection relation constructing, load and initial condition applying, and Euler domain boundary and material distribution configuring. Vibration signal calculation and data processing are carried out, a paddle-shaft-ship coupling sound signal simulation analysis model is established, a vibration load is mapped, sound signal calculation and data processing are carried out, and the modulation coupling influence of the shaft frequency on the blade frequency in the sound signals is obtained. The method focuses on analyzing the characteristics of the shaft frequency, the leaf frequency and the double leaf frequency, quantifies the modulation coupling of the shaft frequency to the leaf frequency and the double leaf frequency, and fills the blank of frequency coupling analysis in existing simulation.