50results about How to "Strong engineering application value" patented technology

The invention relates to the technical field of light source configuration, and discloses a semiconductor wafer defect detection light source configuration method, device and equipment, and the method comprises the steps: obtaining a semiconductor wafer image, and carrying out the dynamic image convolution processing and defect feature enhancement to obtain an enhanced defect feature image; inputting the enhanced defect feature map into a two-way deep neural network for reflected light intensity calculation and image quality scoring to obtain reflected light intensity data and image quality scoring data of the defect region; acquiring light source input current and light intensity sensor data of a plurality of light sources, and performing identification calculation on the light source angle parameters in combination with the image quality scoring data to obtain light source initial parameters; performing nonlinear control based on the reflected light intensity data and the light source initial parameter to obtain a light source control parameter; according to the method, the accuracy and the reliability of defect detection are improved, and the manual debugging cost of light source parameter configuration is reduced.

The invention discloses an underwater wireless sensor network target coverage deployment method based on submarine topography, and the method comprises the steps: considering the underwater wireless sensor network target coverage problem of submarine topography, and constructing an integer nonlinear programming model INLP; and solving the integer nonlinear programming model INLP by adopting a Harris eagle optimization algorithm. According to the method, the submarine topographic features are creatively combined, the loss of the underwater acoustic signal is calculated by adopting the underwater acoustic simulator BELLHOP3D, and the transmission success rate of the link is further derived, so that the transmission quality of the underwater communication system is effectively improved. By constructing the integer nonlinear programming model, the deployment positions of the underwater sensor nodes are optimized, the coverage rate and the uniformity are maximized, and the problem that the influence of complex submarine topography on signal transmission cannot be fully considered in a traditional underwater network deployment method is solved.

The invention provides a semantic perception collaborative intrusion detection method for multiple vehicle-mounted networks, and relates to the field of vehicle-mounted network security, and the method comprises the steps: collecting communication data from a plurality of vehicle-mounted network domains such as a controller local area network, a vehicle-mounted Ethernet, a host system and the like; analyzing business features of each domain based on semantic information, and extracting feature representation from the time sequence dependency relationship; and a cross-domain attention mechanism is utilized to realize feature association among multiple network domains so as to identify potential multi-stage intrusion behaviors. Through multi-domain semantic fusion and cooperative detection, the method can effectively recognize complex attack behaviors which only show weak abnormal features, improves the intrusion detection precision and robustness of a vehicle-mounted network, and is suitable for a safety protection scene of an intelligent connected vehicle.

The present application relates to a kind of user side heterogeneous energy electric carbon collaborative control method and device, and it is related to the technical field of user side energy management and control of integrated energy system.First, the method is characterized by energy grade classification to the user side heterogeneous energy unit in full working condition.Second, the electric-carbon dual-dimension operation demand and flexible adjustment potential of user side are analyzed.Then, a multi-objective optimization model considering electric-carbon collaboration is constructed and solved.The time-sharing scheduling instruction and interface control strategy are generated.Finally, the regulation and control are executed through the multi-port adaptation device, and the standardized access and electric-carbon collaborative optimization operation of user side multi-class energy are realized.The present application can be compatible with multi-voltage grade, heterogeneous response characteristic energy unit plug and play, effectively improve energy utilization efficiency, reduce energy cost and carbon emission, adapt to new power system and double carbon target management and control demand.

The invention provides an improved active-disturbance-rejection control method and device for a thermal power generating unit under a large-range variable load, and relates to the technical field of power grid control. The control method provided by the invention is used for a direct energy balance coordination control system of a thermal power generating unit, a main steam pressure loop adopts improved active disturbance rejection control (MADRC), a load loop adopts conventional active disturbance rejection control (ADRC), and in addition, the feed-forward design of the main steam pressure loop adopts variable proportion gain and definite differential gain to carry out dynamic change. A parameter setting process which is easy to implement and high in engineering performance is provided for improved active disturbance rejection control (MADRC). According to the control method, the tracking performance of the main steam pressure loop can be improved, in addition, under different loads, the control method can remarkably improve the anti-interference capacity of the coordination control system, and the control method has very high engineering application value.

This invention provides a vehicle simulation speed correction method and system, relating to the field of vehicle intelligent dynamics modeling technology. The correction method includes the following steps: S1: Input and process simulation data output from the vehicle dynamics simulation model and corresponding real vehicle test data; S2: Construct a dynamic graph structure representing the interaction between state variables based on a preset physical coupling relationship of the vehicle powertrain; S3: Input the simulation data into a GCN and perform graph convolution operations under the constraints of the dynamic graph structure to extract graph embedding feature sequences representing the spatial dependencies between state variables; S4: Input the graph embedding feature sequences into a TCN and perform temporal convolution operations to learn the dynamic evolution law of state variables in the time dimension and output the correction amount of the vehicle simulation speed; S5: Output the result. Based on this, this invention solves the problem that existing correction methods have various limitations in practical applications.

This invention discloses an airport photovoltaic design method and system based on three-dimensional airspace constraints, which relates to the field of airport photovoltaic engineering technology. S1: Collect legal airspace control data of the target airport, site topography data, flight parameters, and regional annual meteorological and solar radiation data. Based on the collected multi-source data, construct a three-dimensional airspace constraint surface model of the airport, fully integrating four types of core airspace constraint boundaries within the airport: horizontal plane, conical surface, approach surface, and takeoff / climb surface, achieving a three-dimensional quantitative definition of the airspace constraint range. This airport photovoltaic design method and system based on three-dimensional airspace constraints is the first to deeply couple the airport's three-dimensional airspace constraint surface with photovoltaic design, abandoning the traditional two-dimensional uniform height restriction model. It constructs a full-space quantitative model based on the four types of core airspace constraint surfaces, representing a novel technical solution not disclosed in existing technologies, with significant design characteristics specific to airport scenarios.

This invention discloses a short-window gamma-gamma turbulence parameter prediction method for space-to-ground laser communication, belonging to the technical field of space-to-ground laser communication and atmospheric turbulence channel parameter prediction. This method addresses the problems of traditional methods, such as strong dependence on long observation windows, significant degradation in prediction accuracy under short-window scenarios, and insufficient robustness under low signal-to-noise ratio conditions. It establishes a short-window observation model for the space-to-ground optical link and a gamma-gamma channel statistical model, constructs time-dependent short-window training data, and designs a short-window gamma-gamma network. Temporal features are extracted through a convolutional backbone, and a scintillation exponential physical regularization auxiliary head is used to achieve joint parameter prediction under physical constraints, outputting predicted gamma-gamma distributed parameters. This method can achieve high accuracy and good stability in parameter prediction under short observation windows and low signal-to-noise ratio conditions, and can be used for turbulence channel state characterization at the space-to-ground laser communication receiver.

The application discloses a spine-pelvis joint segmentation method based on frequency-space cooperation and adaptive fusion, and belongs to the technical field of medical image processing. A joint segmentation dataset containing spine and pelvis structures is constructed, and standardization preprocessing is completed by supplementing pelvis annotation to public data and combining private clinical data; a multi-scale three-dimensional segmentation network is built, a frequency-space cooperation feature modeling HFSM module is introduced in the coding stage, local details and global semantic features are extracted through joint extraction in the spatial domain and the frequency domain; a selective cross adaptive fusion SCAF module is connected between the encoder and the decoder, boundary enhancement, structure perception and gate weight modulation are performed on different levels of coding features and decoding features, adaptive feature aggregation is realized, the network adopts an end-to-end training mode, a weighted combination loss function is used to optimize model parameters, and the joint segmentation result of the spine and the pelvis is output. The application can effectively improve the segmentation accuracy and integrity of the connection region, complex edge and small structure of the spine-pelvis.

The invention provides an airborne navigation filtering method and device, computer equipment and a storage medium, and belongs to the field of airborne navigation design, and the method comprises the following steps: initializing filtering parameters of an airborne navigation system of an unmanned aerial vehicle; positioning the unmanned aerial vehicle according to the satellite navigation signal, and determining navigation parameters of the unmanned aerial vehicle at the current moment; determining a navigation filtering residual error and a residual error variance of the unmanned aerial vehicle; updating the initialized filtering factor according to the navigation filtering residual error and a preset residual error threshold value as well as the residual error variance and a preset residual error variance threshold value to obtain an updated filtering factor; and carrying out filtering optimization on the airborne navigation system according to the updated filtering factor. The method has high environmental adaptability, can solve and generate the filtering factor corresponding to the current environment according to airborne navigation in different vibration magnitude environments, improves the filtering accuracy of the airborne navigation system, and has high engineering application value.

According to the anti-sedimentation apron structure, on the basis of a traditional apron method, a sedimentation control anchoring rib, especially a transverse sedimentation control rib, is additionally arranged, one end of the sedimentation control anchoring rib is sealed in an anchoring mode and connected into a building outer wall, a main body part of the sedimentation control anchoring rib is embedded in apron, and longitudinal structural ribs are distributed on the sedimentation control anchoring rib. The transverse sinking control ribs effectively control the sinking difference between the aproll and the building outer wall, the problem of staggered joints caused by uneven sinking is avoided, and meanwhile a uniform sinking transition face is formed within the transverse width range of the aproll. The longitudinal structural bars are arranged to coordinate longitudinal settlement deformation of the aproll, so that the stability and durability of the structure are further improved. The structure can ensure settlement deformation coordination between indoor and outdoor walls and the ground, and cracks and structural damage caused by differential settlement are avoided. Through the combination of two technical means of transverse gradual change settlement and longitudinal coordinated settlement, effective control over building apron settlement is achieved, the engineering implementation effect is good, and high application value and popularization prospects are achieved.

This invention provides a method for optimizing BUCK circuit control based on adaptive reward weighting (DQN), comprising the following steps: Step 1, constructing a reinforcement learning control environment for the BUCK circuit; Step 2, designing a reward function based on output voltage error; Step 3, optimizing the reward weight parameters in the reward function using a particle swarm optimization (PSO) algorithm to obtain the optimal reward weight parameters and applying them to the reward function; Step 4, introducing external disturbances into the BUCK circuit control environment and training the DQN agent using the optimized reward function. This invention does not require a precise mathematical model and can achieve adaptive optimization control of the BUCK circuit under different operating conditions, demonstrating significant engineering application value.

The invention discloses a Beidou / 5G fusion positioning terminal for indoor and outdoor seamless switching, and belongs to the technical field of satellite navigation and wireless communication fusion positioning. Comprising a main control module, a Beidou positioning module, a 5G communication positioning module, an IMU inertial measurement module, a storage module, a power supply module and a positioning result output module. The master control module comprises a data preprocessing unit, a three-level vertical feature extraction unit, a fusion positioning decision model unit and an indoor and outdoor seamless switching execution unit. Through a depth feature extraction system of a three-level vertical processing architecture, progressive mining from a shallow single-source feature to a middle scene association feature and then to a deep switching decision feature is realized, and a vertical processing rule that a second-level feature is based on a first level and a third-level feature is based on a second level is strictly followed, so that cross-level feature interference is avoided, and the processing efficiency is improved. The depth and accuracy of multi-source data feature mining are greatly improved, and high-reliability feature support is provided for scene recognition and switching decision.

The application discloses a kind of gene variation evidence mining method and system based on multi-stage trusted inference, the method includes: obtaining academic literature to be parsed, literature is structured and semantically blocked;Respectively extract gene variation experimental evidence in table data and text text, construct dual-source evidence set;Based on gene variation identification, complete heterogeneous evidence fusion, and evidence is standardized processing;Combined with original text accurate matching and semantic checking mechanism, evidence is carried out traceability checking, abnormal identification and no illusion accurate correction;Further, cross-fragment evidence is globally aligned, deduplicated and fused, to generate standardized, high-precision, traceable gene variation functional evidence dataset;The application can effectively solve the problems of unstable long text analysis, evidence missed detection, data distortion and model illusion in the prior art, and improve the accuracy and engineering application capability of gene variation evidence mining.

This invention relates to the field of sliding bearing simulation and optimization technology, and more specifically to a high-precision simulation and optimization design method for hydrostatic thrust sliding bearings. It establishes an efficient decoupling model of the fluid-solid-thermal three-physics field of the hydrostatic thrust sliding bearing, decomposing the overall thermodynamic field into two subfields, which are coupled with the fluid force field and the solid force field, respectively. Then, it constructs a gap oil film flow / thermal field model and a friction pair deformation solid / thermal field model, achieving equivalent coupling through data transfer. The oil film control equations are iteratively solved to obtain oil film pressure, temperature, and flow velocity; the friction pair equations, including elastic constitutive and thermal strain equations, are solved to obtain their elastic and thermal deformations, with bidirectional data transfer achieving coupled iteration. Based on the above method, simulations are performed, establishing sub-models of oil film flow and friction pair deformation, using local interpolation and dynamic meshing to process the interface; the oil cavity is optimized based on the simulation results, parametric analysis is used to establish the mapping between structural parameters and lubrication performance, the objective function and constraints are defined, and the optimal oil cavity structure is obtained through algorithms.

The application discloses a rotor unbalance state evaluation method based on a rotor free stop phase angle, and is characterized in that the method comprises the following steps: step S1: rotor phase marking based on an engine assembly process; step S2: monitoring an engine operation state, and continuously recording rotor free stop phases of multiple marking points based on the marked rotor phase; step S3: analyzing and counting a characteristic parameter alpha value of the multiple marking points based on the recorded rotor free stop phases; and step S4: evaluating a rotor unbalance state according to the analyzed characteristic parameter alpha value, and outputting an evaluation result.

This invention relates to the field of energy-saving technology for marine propulsion systems, specifically to a high-efficiency energy-saving device for a refrigerated ship propeller hub cap fin with tilt angle adjustment. It aims to address the industry pain points of existing hub cap fins, such as poor adaptability to various operating conditions, easy failure of dynamic seals, and insufficient reliability. The device includes a propeller hub body and a hub cap fixed coaxially. Multiple sets of rotating shafts with fins are arranged in a ring array on the outer side of the hub cap, and rotating bevel teeth are fixed at the inner ends of the rotating shafts. The propeller hub body houses a magnetically coupled resonant wireless power supply unit, a telescopic device, and a rotating mechanism. The rotating mechanism drives a drive bevel tooth that meshes with the rotating bevel tooth, and the drive bevel tooth is coaxially connected and locked via a connecting shaft. This invention achieves synchronous adjustment and reliable locking of the fin angle through dual-position interlocking switching. It eliminates the risk of through-type dynamic seal failure by eliminating the need for penetrating motion transmission components, making it suitable for all operating conditions of refrigerated ships and the harsh marine environment of the open ocean. It offers a long maintenance-free period and high navigation safety.

The application discloses a kind of corn raw grain procurement processing and finished product grain transportation collaborative optimization methods under carbon constraint, the method includes: corn processing enterprise supply chain cost and different transportation mode carbon emission accounting mode;Comprehensively consider the seasonality fluctuation of raw grain supply, inventory loss, and different transportation mode and its packaging form in direct transport and reconditioning link timeliness, cost, damage, carbon footprint and other factors, construct mathematical model with corn processing enterprise supply chain cost minimization as target;To the constraint rules of purchase, processing, inventory, shortage, transportation and carbon emission management in target mathematical model, and linearization is handled to constraint condition;Based on the branch and price algorithm of fusion dynamic programming, obtain the collaborative optimization scheme of corn raw grain procurement processing and finished product grain transportation under carbon constraint.The present application solves the technical problems that the existing method is difficult to coordinate for the inventory loss of finished product grain, the transportation loss of multimodal transport and the carbon emission in transportation link.

The present application relates to the field of photoelectric detection and intelligent identification, in particular to a cat-eye target detection active imaging system and method based on intelligent vision, comprising: an active illumination module for outputting a pulse laser with adjustable parameters, actively illuminating a target scene, and exciting a cat-eye effect backscatter echo of an optical device in the target scene; a coaxial imaging acquisition module for receiving the backscatter echo of the target scene and collecting information; an intelligent vision processing module for intelligently processing the received image data, outputting target information and scene perception data; an adaptive control module for constructing a closed-loop control link according to the scene perception data and the target information; a display and storage module for realizing human-computer interaction, displaying and storing real-time imaging pictures and target information. Thus, the problems of high false alarm rate, limited detection distance, poor environmental adaptability, and inability to realize target fine classification and continuous tracking in the prior art are solved.

This application discloses a suitability testing method for ultrasonic machining of honeycomb core materials, belonging to the field of honeycomb core material machining technology. The suitability testing method includes: determining the critical conditions of the process based on material properties and quality requirements; establishing a mapping relationship between material parameters and cutting forces and inversely calculating the critical cutting force; subsequently calculating the motion state and impact force of the tool under ultrasonic vibration; and finally, determining whether ultrasonic machining can be used based on the comparison between tool displacement and material fracture limit, and impact force and critical cutting force. This application can quickly determine the suitability of ultrasonic machining for new material honeycomb core parts without requiring extensive trial cutting experiments, effectively saving time and costs, and improving the application efficiency and accuracy of parameter determination of ultrasonic processes.

The invention discloses a preparation method of an aluminum foil blank for a high-strength 8021 battery soft package, and belongs to the technical field of aluminum alloy processing. According to the method, an 8021 alloy cast ingot serves as a raw material, hot rolling, segmented cold rolling, medium and low temperature intermediate annealing, finish rolling and other procedures are carried out, and the high-strength aluminum foil blank is prepared by optimizing rolling reduction distribution and roll surface roughness. The tensile strength of the obtained blank is larger than or equal to 170 MPa, the plasticity and the surface quality are excellent, the process energy consumption is lower, equipment does not need to be newly added, and the method is suitable for industrial production of the aluminum foil blank for the high-end soft package lithium battery aluminum-plastic film.

The application belongs to the technical field of electronic power, and particularly relates to a multi-target hybrid modulation method, system and device of a T-type three-level inverter. The method firstly judges whether the inverter is operated at an extremely low modulation degree; if yes, the theoretical midpoint currents of DPWM1 and DPWM3 modes are calculated in parallel, and the extended midpoint currents corresponding to four hybrid modulation modes generated after the introduction of VSVPWM sequences in the two modes are calculated; then, according to the numerical relationship between the real-time calculated midpoint compensation current and the midpoint currents, the optimal hybrid modulation mode is dynamically selected or the basic DPWM mode is returned to; finally, three-phase double modulation waves are generated, and PWM signals for driving all power switches are output after carrier comparison. The application realizes multi-target optimization of the midpoint potential, switching loss and output waveform under extreme working conditions, and significantly improves the system stability and performance.

The application discloses a kind of adaptive TDI imaging methods under micro-vibration scene, belong to digital image registration field, the present application is aimed at the frame misregistration caused by platform micro-vibration and speed fluctuation, first global coarse displacement estimation is carried out to input image sequence, then grid point precision matching is carried out based on local normalized cross-correlation, and subpixel displacement is obtained by peak fitting.Subsequently, frame weight is constructed by combining registration confidence and registration residual, and adaptive weighted integration is carried out on the compensated multiple images, to obtain TDI output image.The present application can reduce the influence of abnormal frame and misregistration accumulation on imaging results, and improve the robustness of TDI imaging under micro-vibration scene.

This invention relates to the field of rolling bearing testing technology, specifically to a method for measuring bearing radial clearance. By acquiring three-dimensional coordinates at multiple points in the non-stressed area of ​​the bearing outer ring, the center position of the bearing outer ring is accurately determined using the least squares method. This effectively avoids measurement errors A caused by the measuring force of the measuring instrument itself leading to local elastic deformation of the bearing outer ring, and measurement errors B caused by radial loading leading to local elastic deformation of the bearing outer ring. Simultaneously, a zero-radial-clearance bearing is introduced as a calibration benchmark. Combined with measured data, the method identifies radial clearance changes caused by local deformation that are undetectable by traditional methods, and compensates and corrects the radial clearance measurement results accordingly. This not only avoids measurement errors caused by local deformation due to the measuring force of the measuring instrument itself in principle, but also significantly improves the accuracy and reliability of bearing radial clearance measurement, achieving high-precision and repeatable testing.

The invention discloses an LCL integrated filter based on transformer leakage inductance multiplexing. The LCL integrated filter comprises a discrete inductor, a transformer side inductor and a filtering branch, the transformer side inductor is the inherent leakage inductor of the transformer, and the filter branch comprises a filter capacitor C. According to the LCL filter, the inherent leakage inductor of the transformer is multiplexed to serve as topological optimization of the power grid side inductor and the filtering branch, and the technical problems that a traditional LCL filter needs to be independently provided with the power grid side inductor, so that the size is large, cost is high, the inherent leakage inductor of the transformer is idle and wasted, instability is likely to happen under a weak power grid, and harmonic suppression cannot meet the grid connection standard easily are solved.

The invention discloses an FMEA-based operating system robustness test case construction method and system. The method comprises the following steps: constructing a robustness test analysis criterion based on software related standard requirements; determining a use scene based on the to-be-analyzed operating system; determining a fault mode of the use scene based on a robustness test analysis criterion; processing based on the fault mode to obtain fault data; establishing a mapping relation based on the fault data and a software function item of the to-be-analyzed operating system; and obtaining an operating system robustness test case library based on the mapping relationship. The advantages of the FMEA in the field of robustness test are fully exerted, the number of fault discovery is greatly increased, and the quality of the robustness test case is effectively improved.

This invention discloses a tracked mobile carrier based on highway guardrails, comprising a carrier body, a walking drive mechanism, and a support and guiding mechanism. The walking drive mechanism includes an outer drive-clamping track assembly and an upper drive-clamping track assembly located on both sides of the corrugated guardrail, forming a bidirectional clamping drive structure. The two tracks are in surface contact with the corresponding surfaces of the corrugated guardrail to provide walking drive force. Both track assemblies are equipped with adaptive adjusting slides with pre-tension springs, enabling adaptive inward and outward floating of the driven wheel assembly to continuously maintain the track's contact with the corrugated guardrail. The support and guiding mechanism includes a top support roller and a lower limiting roller with a buffer spring, achieving vertical load-bearing and lateral limiting and buffering. This invention enables highly stable and reliable all-weather autonomous movement along highway corrugated guardrails, adapting to various complex working conditions of the guardrails and meeting diverse application needs such as highway maintenance and inspection, and traffic control.

The invention relates to the technical field of material surface treatment, in particular to a method for plating molybdenum on the surface of diamond powder through salt bath. By optimizing the components of the molten salt, the molten salt forms low-melting-point eutectic in the salt bath molybdenum plating process, molybdenum powder and carbon atoms on the surface of diamond are subjected to a chemical reaction at the low plating temperature to generate a uniformly-distributed molybdenum carbide layer, and heat damage to the diamond can be effectively avoided. Besides, the molten salt can form a high degree of superheat, diffusion of molybdenum atoms and chemical reaction of the molybdenum atoms and carbon atoms are facilitated, it can be guaranteed that the coating completely covers the surface of the diamond and is firmly combined, and it can be guaranteed that the thickness of the plating layer is controllable by regulating and controlling the plating time; the chlorate powder is non-toxic, harmful substances are not generated in the salt bath molybdenum plating process, the environment-friendly property is good, the chlorate powder can be used for industrial production, and the chlorate powder has wide application prospects and high engineering application value.

The application discloses a wideband communication signal anti-interference reconstruction method based on dictionary evolution and time-frequency block constraint, relates to the fields of communication signal processing and wireless anti-interference technology, and comprises the following steps: firstly, time-frequency block division is performed on a received wideband communication signal, and local structure features are extracted; then, a time-frequency block sparse representation model of the local structure features is constructed through a target signal dictionary and an interference signal dictionary; the time-frequency block sparse representation model is iteratively optimized, and a dictionary atom is updated according to a reconstruction residual corresponding to an optimization result; the iteration is repeated until a convergence condition is met; then, signal reconstruction is performed according to an obtained target signal dictionary and corresponding target signal sparse coefficients, and a time-domain wideband signal after anti-interference reconstruction is determined; the local continuity and structure stability of the wideband signal in the time-frequency domain are effectively utilized, the influence of dictionary mismatch on reconstruction performance in a complex interference environment is reduced, and the accuracy and stability of target signal recovery in a low signal-to-noise ratio, strong interference and non-stationary scene are improved.

The invention provides an aero-engine vibration fault multi-dimensional quantification method and system, and relates to the technical field of aero-engines. The aero-engine vibration fault multi-dimensional quantification method comprises the steps that multiple vibration fault modes causing vibration faults are acquired; according to a quantification calculation method, first-dimension quantification is carried out on the multiple vibration fault modes, and first-dimension quantification results are obtained; performing second dimension quantization on the multiple vibration fault modes according to a quantization calculation method, and obtaining second dimension quantization results; and performing joint quantization according to the first dimension quantization result and the second dimension quantization result. According to the aero-engine vibration fault multi-dimensional quantification method, quantification can be carried out based on the first dimension, the second dimension and other dimensions of the vibration fault mode, so that the verification strategy of the vibration fault mode can be formulated according to the quantification result, the vibration fault can be eliminated timely, rapidly and efficiently, and the method has high engineering application value.