1039 results about "Fatigue damage" patented technology

The invention provides a fatigue life prediction and residual life evaluation method for a high-power heavy-duty gearbox, and belongs to the technical field of intelligent operation and maintenance based on computer data processing. Comprising the following steps: acquiring dynamic data in an operation process, and performing multi-scale decomposition to form multi-source multi-scale data; inputting the multi-source multi-scale data into a designed multi-scale fatigue feature extraction module and a health state prediction module to obtain a multi-scale health index sequence and a health state label; establishing a fatigue damage evolution model, introducing the generated health index sequence for self-adaptive updating, outputting a comprehensive damage value, performing staged evaluation of fatigue degradation to obtain a damage label set, and performing multi-scale health index sequence and health state labels as well as the comprehensive damage value and the damage label set to obtain a multi-scale health index sequence and health state labels; inputting into a designed double-source fusion fatigue life prediction model, and outputting residual life prediction quantity; according to the invention, high-precision prediction and residual life evaluation of the fatigue life of the high-power heavy-duty gearbox are realized.

The invention discloses a pre-twisted damper fatigue life prediction method for an extra-high voltage ground wire, and particularly relates to the technical field of power transmission line vibration prevention. Collecting multi-source vibration and environment data, and constructing a vibration characteristic time sequence; amplitude, frequency and strain energy are extracted based on the multi-frequency vibration response, and a multi-frequency collaborative vibration model is established; obtaining a damper structure and material parameters, establishing a finite element model, coupling the finite element model with a vibration model, and simulating local stress response; a Rainflow counting method and a Miner damage criterion are adopted to construct a fatigue damage factor distribution matrix; predicting the residual fatigue life of the damper based on the damage evolution trend, and evaluating the replacement opportunity; according to the method, accurate fatigue life prediction and optimal replacement strategy recommendation of the pre-twisted damper under complex working conditions can be realized, and the method has high precision, high adaptability and engineering practicability.

The invention relates to the technical field of intelligent manufacturing equipment fault diagnosis, and particularly discloses a Meta-Transform driven multi-working-condition equipment bearing fault diagnosis method and system. The method aims at bearing fatigue damage risks caused by dynamic adjustment of technological parameters of a numerical control machine tool in the aerospace manufacturing process and challenges such as feature distribution offset and fault sample scarcity caused by variable working conditions. The diagnosis system is constructed through three core modules. The method comprises the following steps: firstly, reconstructing an original bearing signal into a multi-scale time-frequency feature space by adopting continuous wavelet transform; then designing a causal Transform architecture with a strict lower triangle attention mask, and realizing feature extraction and classification according to a physical causal law of fault propagation; and finally, integrating the mechanisms into a model-independent element learning framework, and realizing cross-working-condition rapid self-adaption through a self-adaption gradient pruning strategy. The bearing fault diagnosis accuracy under the condition of few samples is improved, the interpretability and generalization ability of the model are enhanced, and the industrial application practicability of bearing fault diagnosis is improved.

The invention relates to a simulation prediction method for the plugging life of a contact element of an electric connector, and the method comprises the steps: building a three-dimensional simulation model of a plug end and a socket end of the electric connector, and defining the material attributes and contact relationships of all parts in the three-dimensional simulation model; performing finite element grid discretization on the three-dimensional simulation model; applying a fixed constraint to the socket end, applying a displacement load for simulating the plugging process to the plug end, and performing statics solution to obtain plugging force in the plugging process of the plug end and the socket end and contact pressure data of the plug end contact piece and the socket end contact piece; and mapping a statics solution result into a fatigue analysis module, and simulating, calculating and outputting a life distribution result of the plug end contact element and the socket end contact element under repeated plugging and unplugging loads. The method has the effect of analyzing the stress-strain state of the internal contact element of the electric connector and the fatigue damage of the internal contact element under repeated plugging and unplugging so as to help monitoring personnel to discover the potential mechanical failure problem in time.

The invention belongs to the field of asphalt mixture performance analysis, and particularly discloses a fatigue performance analysis method for an asphalt mixture of an asphalt pavement, which comprises the following steps of: synchronously acquiring a dynamic strain field and a temperature field in a material by fusing an embedded sensor in a paving and rolling construction process; a temperature-strain coupled fatigue damage evolution model is combined to construct an on-line fatigue performance analysis system oriented to the whole construction process, so that a complex heat-force coupling environment and a non-uniform compaction process in actual paving operation are effectively restored; scale effect deviation and boundary condition distortion caused by difference between laboratory test piece preparation and on-site working conditions are remarkably reduced, and meanwhile, in the online detection process of the fatigue performance of the asphalt mixture, instant quantitative judgment of the performance state of the pavement structure is realized by positioning a damage remarkable overrun area; and the in-situ monitoring capability on the initial fatigue damage is fully reflected, so that the abnormal strain accumulation process before microcrack initiation can be captured.

The invention discloses an optical cable fitting fatigue damage detection method and system, and relates to the technical field of power transmission line state monitoring, and the method comprises the following steps: S1, constructing a wind field and structure coupling observation baseline, obtaining a full-time-domain vibration response signal of an optical cable fitting in a non-uniform wind field environment, generating a phase consistency distribution map, and obtaining a phase consistency distribution map; establishing a corresponding relation between the multi-path reflection source group and the time correlation sequence as a traceable reference for phase analysis; and S2, based on the phase consistency distribution map, performing causal beam demixing processing, performing arrival time difference densification calculation and curvature spectrum separation analysis on each sound wave propagation path, and extracting crack propagation pointing data. According to the method, through wind field-structure coupling observation, path unmixing, phase regression and error checking, multi-path propagation recognition and correction are achieved, crack propagation topology is reconstructed, polarization rotation and a phase suppression mechanism are combined, and direction recognition stability and detection adaptivity are improved.

The invention discloses a submarine pipeline scour-vibration response analysis method based on a cross-scale coupling framework. The method comprises the following steps: establishing a multi-physics field coupling model according to geographical and structural information of a pipeline layout area and initializing the multi-physics field coupling model; marine environment data are obtained through real-time monitoring, the model is imported for scouring dynamic deduction, and a scouring boundary data set is generated. And reconstructing a multi-physics field solving environment, and forming a real-time physics solving environment package. After the model is updated, pipeline vibration response is analyzed, and a vibration data set is obtained. And performing fatigue damage analysis, deducing a flow guide field disturbance coefficient, updating the model again, performing next time step coupling calculation, and finally obtaining a full-period coupling analysis data set. And evaluating the pipeline operation safety situation based on the data set, and generating and pushing a safety report. Various physical field effects on the submarine pipeline in the marine environment are comprehensively considered, the safety of the submarine pipeline is evaluated more comprehensively, and cross-scale coupling analysis between the scouring effect and the vibration effect is achieved.

The invention discloses a vacuum breaking type GIS operating mechanism multi-scale fatigue damage real-time monitoring and residual life prediction method and system, equipment and a medium, and relates to the technical field of intelligent state monitoring and operation and maintenance management of power equipment, and the method comprises the specific steps: collecting and preprocessing a signal, and constructing a multi-dimensional feature vector; establishing a multi-scale fatigue damage identification model to obtain a damage grade classification result; and collecting an accumulated damage historical sequence for preprocessing, calculating through a calculation module, constructing a life prediction model, and predicting the life of the GIS operating mechanism. Through multi-source data collaborative analysis, multi-scale fatigue damage identification and life prediction model construction, the problems that a traditional method cannot realize continuous tracking and prediction of the damage evolution process of the operating mechanism and cannot fully capture multi-frequency response and local damage signals in the operating load are solved; the problems of diagnosis lag, low accuracy and weak generalization in the prior art are solved, and the operation safety and the maintenance scientificity of the high-voltage electrical equipment are remarkably improved.

The invention relates to the technical field of anti-fatigue of steel parts, and discloses an anti-fatigue system and method for a high-hardness steel part based on ultrasonic-shot blasting composite strengthening. The method comprises the steps that the macroscopic geometrical morphology, the microstructure and the dynamic stress-strain data of a target steel part are collected through a multi-mode sensing system, and a multi-physics field digital twinborn model is constructed through fusion; on the basis of fatigue damage feature distribution in the model, sorting by using an enhanced decision tree model, and triggering parameter configuration by using a priority over-critical value; synchronously calculating ultrasonic field regulation and control parameters and shot blasting trajectory planning parameters through an adaptive neural network algorithm; the parameters are injected into a digital twin model to simulate material response and energy transfer, data such as a microdefect closed state are output, and a parameter correction signal is generated through multi-dimensional consistency inspection. According to the method, precise control over composite strengthening is achieved, and the anti-fatigue performance of the high-hardness steel part is effectively improved.

The invention discloses a petroleum pipeline service life prediction system based on a 3D technology, and relates to the technical field of pipeline service life detection, and the system comprises a contour reconstruction module S11 which is used for obtaining the surface three-dimensional point cloud image data of a petroleum pipeline housing in an actual operation environment, and carrying out the surface contour reconstruction processing based on the three-dimensional point cloud image data, extracting space geometric structure data containing a local deformation defect area; the force-heat coupling analysis module S12 is used for constructing a finite element analysis grid according to the space geometric structure data and loading operation condition data into corresponding grid nodes to generate a force-heat coupling stress field, and the operation condition data comprises a periodic internal working pressure value, along-line temperature field data and an axial disturbance stress tensor; the feature extraction module S13 is used for calculating an equivalent stress distribution value of a defect area node based on a force-heat coupling stress field; according to the invention, accurate quantification of fatigue damage evolution of the defect area is realized.

The invention provides a pressure vessel full life cycle stress fatigue assessment and predictive maintenance system based on digital twinning. The system comprises a model construction module used for constructing a three-dimensional digital twinning model corresponding to a solid pressure vessel; the data synchronization module is used for integrating historical test data and actual operation load data of the solid pressure vessel into the three-dimensional digital twinborn model and simulating dynamic stress distribution of the solid pressure vessel in an actual operation load process; the evaluation and maintenance module is used for evaluating the accumulated fatigue damage of the solid pressure vessel and the residual fatigue life in the current state based on the dynamic stress distribution, and determining a potential risk area and a risk time window of the solid pressure vessel based on an evaluation result; and on-demand inspection plans and predictive maintenance strategies of the entity pressure vessels are generated based on the potential risk areas and the risk time windows. Stress fatigue evaluation of the whole life cycle is achieved, and the accuracy and reliability of life prediction are remarkably improved.

The invention discloses a transformer health state determination method, system and device and a storage medium, and belongs to the technical field of transformers, and the method comprises the steps: carrying out the temperature detection of a key part of a transformer through a temperature sensor, and obtaining a temperature parameter set; performing stress measurement on the stress concentration area of the transformer to obtain a stress parameter set; inputting the temperature parameter set into an insulation thermal aging model to obtain a thermal aging damage index; performing damage evaluation on the stress parameter set through a Miner rule to obtain a mechanical fatigue damage index; and determining a health state value of the transformer based on the thermal aging damage index and the mechanical fatigue damage index. According to the method, the influence of the temperature on the insulation life is quantified based on the insulation thermal aging model constructed based on the Arrhenius equation, and the mechanical fatigue damage index is accumulated in combination with the Miner rule, so that the health state value of the transformer can be accurately estimated, the accuracy of transformer health state evaluation is improved, and the accident risk of a power system is reduced.

The embodiment of the invention provides a pressure release valve for a train, and relates to the technical field of pressure release valves. A pressure relief valve for a train comprises an outer shell, an inner shell, a first pressure relief valve plate, a second pressure relief valve plate and a third pressure relief valve plate, the first pressure relief valve plate, the second pressure relief valve plate and the third pressure relief valve plate are sequentially mounted on the inner side of the inner shell from top to bottom, a first pressure relief spring is mounted between the first pressure relief valve plate and the second pressure relief valve plate, and a second pressure relief spring is mounted between the second pressure relief valve plate and the third pressure relief valve plate. The side end of the top of the outer shell fixedly communicates with a guide pipe, a vent hole is formed in the side end of the bottom of the inner shell, an adjusting mechanism for adjusting the pressure of the first pressure relief spring and the pressure of the second pressure relief spring is installed on the outer shell, and the two-way synchronous adjusting mechanism is arranged so that the pressure relief valve can adjust different pressures needed by different latitudes conveniently. The pressure cover is prevented from being replaced in a high-latitude area, meanwhile, the adjusting pressure of a single pressure relief spring can be relieved, fatigue damage of the pressure relief spring is reduced, aging of the pressure relief spring is slowed down, and therefore the overall service life of the pressure relief valve is prolonged.

The utility model relates to the technical field of bridge inhaul cables, in particular to a stress adjusting bridge inhaul cable structure which comprises an upper bearing beam, a lower bearing beam and an adjusting assembly, the upper bearing beam is located below the lower bearing beam, a round hole is formed in the surface of the upper bearing beam, and the inner wall, located in the round hole, of the upper bearing beam is fixedly connected with an upper hanging head. A mounting hole is formed in the surface of the lower bearing beam, a lower hanging head is fixedly connected to the position, located on the inner wall of the mounting hole, of the lower bearing beam, the adjusting assembly is arranged on the lower surface of the upper bearing beam and comprises a guide column, and the guide column is fixedly connected to the upper surface of the lower bearing beam. According to the utility model, the adjusting assembly is arranged, so that the stress of the inhaul cable can be adjusted in real time in different load states in the operation process of the bridge, the stress of the inhaul cable is ensured to be uniform and within a safe stress range, premature fatigue damage of the inhaul cable caused by local stress concentration is avoided, the service life of the inhaul cable is prolonged, and the safety of the bridge structure is further ensured.

The invention belongs to the technical field of mechanical structure health monitoring and life prediction, and particularly relates to an engineering machinery bearing structure fatigue life intelligent monitoring method, which comprises the steps of 1, building a high-fidelity geometric model, 2, building a finite element model, 3, building a finite element simulation data set, 4, building a neural network agent model, and 5, building a neural network model. 5, working parameters and loading history are obtained; and 6, a visual operation and maintenance platform is integrated. According to the intelligent monitoring method for the fatigue life of the engineering machinery bearing structure, the evolution process of fatigue damage of the structure can be intelligently deduced based on the working parameters and the loading history of the structure, dynamic calculation of the residual life and real-time early warning of the service risk are achieved, calculation resources are saved, the fatigue life evaluation efficiency is improved, and the engineering machinery bearing structure fatigue life monitoring method is suitable for popularization and application. The problems of dependence on off-line simulation, response lag, discontinuous evaluation and the like in traditional structure life management are solved, the intelligent operation and maintenance level of the engineering machinery is effectively improved, and safe and efficient operation of the engineering machinery is guaranteed.

The invention discloses a fatigue damage detection method and system for a large-scale grid structure, and relates to the related field of structure health monitoring, and the method comprises the steps: arranging a plurality of types of sensors based on the large-scale grid structure to carry out synchronous response collection, and obtaining a structure response data set; synchronously obtaining real-time load data and combining the real-time load data with the structure parameters to construct a grid structure digital twinborn model for simulation calculation, and obtaining a theoretical structure response data set; comparing the theoretical structure response data set with the structure response data set, performing exception identification according to a comparison result, and identifying and positioning a response exception region; evolution analysis is carried out based on the real-time load data, time sequence change characteristics are constructed, fatigue damage evolution is carried out based on the response abnormal area in combination with the time sequence change characteristics, and a fatigue damage detection report is generated. The technical problem that the accuracy of damage positioning and evaluation is insufficient in existing large grid structure fatigue damage detection is solved, and the technical effect of improving the accuracy of damage positioning and evaluation is achieved.

The invention discloses a method for rapidly evaluating the fatigue life of a steel trestle for extreme heavy load impact, and relates to the technical field of bridge fatigue life evaluation. Establishing an extreme impact load probability model; multi-source bridge monitoring; establishing and correcting a finite element model; efficiently simulating a fatigue damage field; carrying out multi-stage modeling and prediction on crack propagation; performing multi-scale damage accumulation fusion analysis; and carrying out residual life evaluation and multi-dimensional risk grading. Through combination of extreme impact load modeling, multi-source data fusion and a physical constraint neural network technology, the impact load can be accurately identified and the stress response of the structure can be calculated under an extreme heavy load working condition, and meanwhile, a three-stage crack propagation model is introduced to comprehensively describe the whole process from microscopic damage to structure fracture. And the efficiency and reliability of fatigue life evaluation are obviously improved.

The invention provides a wind power blade fatigue damage early warning method and system based on modal energy excursion, and relates to the technical field of wind driven generators. According to the method, a multi-dimensional health baseline library is established under the healthy state of a wind power blade, and a current total strain signal and temperature distribution are synchronously collected in the operation process of a fan; performing temperature-strain decoupling on the total strain by using a healthy baseline library, and accurately extracting a real mechanical strain signal caused by the mechanical load; on the basis, a working condition modal recognition method is adopted to steadily obtain a current inherent frequency and a strain modal shape from real mechanical strain; calculating a current modal energy proportion and comparing the current modal energy proportion with the health baseline to generate an offset index reflecting a modal energy localization degree; and finally, in combination with the amplitude, the duration and the dynamic evolution trend of the offset index, and in combination with a fatigue accumulated damage assessment result, performing graded early warning judgment, and realizing early perception, accurate positioning and risk graded output of the fatigue damage of the blade.

The invention belongs to the field of mechanical performance testing, and relates to an intelligent testing method for the fatigue performance of a wet brake, which comprises the following steps of: acquiring real-time operation data of the wet brake under the condition that a load is applied by a loading device in a testing process by deploying a multi-source monitoring array; generating a fatigue stress distribution diagram representing the stress state of a preset test area of the wet brake based on working condition fusion analysis, correspondingly identifying a failure early warning signal representing the current fatigue damage stage so as to dynamically adjust the parameters of a loading device, and adjusting the stress state of the wet brake in the loading intermittent period of a single test cycle period. The fatigue performance response effect of the wet brake under the action of the current loading strategy is analyzed, the correction direction of the loading strategy of a secondary test cycle is determined, test convergence is achieved through iterative optimization, the consistency of a test result and a real fatigue damage rule is improved, meanwhile, the test efficiency and evaluation precision are improved through closed-loop regulation and control and a self-adaptive iterative framework, and the test accuracy is improved. And a reliable basis is provided for fatigue performance evaluation of the wet brake.

The embodiment of the invention provides a load balancing control method of a variable pitch system, which comprises the following steps of: continuously acquiring blade root bending moment and rotor azimuth angle signals, accurately preprocessing to obtain 1P harmonic information of bending moment in a flapping direction, and updating accumulated wear conditions of each blade under different azimuth angles in real time based on the 1P harmonic information. According to the method, a dynamic abrasion map is established, the active balance variable pitch offset is actively calculated based on the abrasion map, the load is intelligently guided from a heavily-abraded area to a lightly-abraded area, and a refined blade variable pitch angle is finally formed in combination with traditional IPC correction and a collective variable pitch instruction. In this way, key components such as the variable pitch bearing are prevented from bearing overhigh local stress for a long time in a specific azimuth angle, uniform abrasion of rolling bodies or raceways is achieved, and therefore local fatigue damage is remarkably reduced, and the service life of the variable pitch bearing of the wind generating set and the service life of related components are prolonged.

The invention relates to the technical field of port cranes and mechanical engineering, in particular to a crane structure fatigue life prediction method and system. The invention provides a crane structure fatigue life prediction method. The crane structure fatigue life prediction method comprises the steps that a finite element model of a crane structure is established, and a stress-load mapping relation matrix of crane structure nodes is generated through dimension reduction processing; collecting actual working data of the crane structure; performing data processing on the actual working data, and constructing an actual working load spectrum; based on the stress-load mapping relation matrix and the actual operation load spectrum, generating a stress-time history used for calculating the fatigue life structure node of the crane; and calculating the fatigue damage of the crane structure and predicting the residual fatigue life by combining a stress-life curve and an accumulative damage theory of a crane structure material. According to the method provided by the invention, online, real-time and accurate prediction and visualization of the fatigue life of all structures of the crane are realized, and a basis is provided for formulating an accurate operation and maintenance plan.

The invention discloses a fatigue damage assessment method, system and equipment for a dangerous part of a blade and a medium, and relates to the technical field of fatigue life assessment of a blade structure.The method comprises the steps that firstly, a coupling correction coefficient obtained based on equivalent stress amplitude is introduced to improve the nonlinear cumulative damage Miner theory; errors caused by insufficient description of the load sequence effect by a traditional linear means are reduced, so that a nonlinear cumulative damage model capable of representing a nonlinear relation between the load sequence effect and cumulative damage is established; then applying a unit equivalent stress amplitude boundary field to obtain an equivalent stress amplitude field, and simulating scalar damage evolution during circulation in a load mode based on isotropic continuous damage mechanics, so that nonlinear effects of thermal-mechanical coupling, stress gradient change and microstructure evolution of the blade are realized; and the coefficients are corrected through sequence coupling, equivalent reflection is carried out in combination with the equivalent stress amplitude or the equivalent stress amplitude field, and the precision of predicting and evaluating the fatigue damage of the dangerous part of the blade is improved.

The invention discloses a vortex-induced fatigue analysis method and device for a deep-sea steel catenary riser, electronic equipment and a storage medium, and belongs to the technical field of ocean facilities. The method comprises the following steps: acquiring motion data of an offshore platform; determining an equivalent oscillatory flow of the offshore platform based on the motion data; according to the equivalent oscillatory flow, vortex-induced vibration response of the deep-sea steel catenary riser is determined based on fluid-structure interaction effect analysis; according to the vortex-induced vibration response, the equivalent stress time history of the deep-sea steel catenary riser is obtained through calculation, and therefore a vortex-induced fatigue analysis result is determined. According to the invention, the platform motion can induce the riser to generate vortex-induced vibration, the equivalent mode is established to convert the platform motion into the oscillatory flow, and the fluid-solid coupling effect between the riser and the flow field is considered, so that the calculation is easy to realize and the precision is high; the perfection degree and reliability of the vortex-induced fatigue analysis result of the deep-sea steel catenary riser can be improved, and the fatigue damage degree of the deep-sea steel catenary riser can be accurately mastered.

The application relates to the technical field of chemical metal raw material conveying, in particular to a metal raw material suspension conveying device based on chemical production, which comprises a conveying track and a sliding seat connected through a traction chain on the track, and the sliding seat is connected with an outer damping sliding pipe through a suspension chain. The metal raw material suspension conveying device based on chemical production can be accurately matched with the conveying requirements of different forms of metal raw materials such as powder, liquid and block: for powder or liquid metal, an adjustable hydraulic damper is used, a cylinder, a sliding inner plug, a containing cylinder and a compression spring are matched, and liquid sloshing leakage and powder partial load agglomeration are inhibited; for blocky metal, the hydraulic damper is used to release the "rigid impact" slowly, and the residual vibration after impact is quickly dissipated through a friction block, so that the fatigue damage of the tank body is avoided, a plurality of sets of equipment are not needed, enterprise cost is reduced, and workshop space is saved.

The invention discloses a digital twinning long-span bridge earthquake wind vibration and vibration reduction and isolation system and method, the system takes a high-fidelity digital model for constructing a long-span bridge as a basis, comprises full life cycle monitoring and management of the bridge under earthquake, wind vibration and vibration reduction and isolation conditions, and is based on a sky-air-ground-water integrated ubiquitous sensing module. In combination with artificial intelligence algorithms such as deep learning and a pulse neural network, real-time state evaluation of a bridge structure, material nonlinear analysis, geometric nonlinear analysis, multi-point excitation and pile-soil-structure interaction simulation, wind-induced fatigue damage prediction, earthquake vulnerability evaluation and closed-loop control scientific decision based on an artificial intelligence body are realized. According to the invention, system support and method guidance can be provided for large-span bridge anti-seismic and anti-wind design, intelligent monitoring, operation and maintenance management and vibration reduction and isolation system optimization.

The present invention belongs to the technical field of bridge protection. In order to solve the problem of how to protect bridge piers from flow-induced vibration (FIV), the present invention provides a method and system for monitoring the bridge piers based on digital twin and a FIV protection device, comprising: an annular steel board and multiple polyurethane boards, an inner wall of the annular steel board is fixedly connected to a structure to be protected, hydraulic devices and multiple energy-dissipation springs are arranged between an outer wall of the annular steel board and the polyurethane boards, and the polyurethane boards are spaced apart. The present invention may reduce or even eliminate the FIV caused by seawater or rivers to the structure to be protected, thereby slowing down the fatigue damage caused by FIV to the structure to be protected.

The invention discloses a non-Gaussian fatigue analysis method considering average stress correction, and relates to the technical field of fatigue damage assessment, and the method comprises the following steps: S1, calculating an equivalent stress amplitude based on an average stress correction model; s2, introducing the equivalent stress amplitude into a non-Gaussian TB method, and establishing a non-Gaussian fatigue damage assessment method considering average stress correction; and S3, carrying out comprehensive evaluation through numerical value verification and applicability analysis. According to the non-Gaussian fatigue analysis method considering the average stress correction, a non-Gaussian spectrum method considering the average stress correction is constructed based on a non-Gaussian TB method and a typical average stress correction model, and the applicability of the method under various conditions is verified; therefore, the problem that the average stress effect cannot be considered when non-Gaussian fatigue damage estimation is carried out in the frequency domain is solved, and efficient and reliable technical support is provided for complex non-Gaussian fatigue damage estimation and life prediction.

The invention relates to a wind power plant active wake flow control method and electronic equipment, and the method comprises the steps: considering the time-varying load influence of a wind turbine generator in the actual operation process, combining the displacement of a long flexible blade in the flapping and shimmy directions, and constructing the dynamic equivalent impeller radius of the long flexible blade under the vertical plane projection; based on the dynamic equivalent impeller radius, a wake flow model is constructed, and the output power of each wind turbine generator is calculated; designing a wind power plant model prediction controller considering flexible characteristic correction by using the output power of each wind turbine generator, and outputting an optimal yaw and variable pitch angle control sequence through rolling optimization in a prediction time domain; and the optimal yaw and variable pitch angle control sequence is applied to the wind turbine generator sets, and dynamic coupling control over all the wind turbine generator sets in the wind power plant is achieved. Compared with the prior art, the system has the advantages that the generating capacity of a large wind power plant is improved, meanwhile, excessive action of the yaw and variable pitch mechanism is avoided, and mechanical fatigue damage can be reduced.

The invention discloses an HR3C scene-based fatigue prediction method and system, and relates to the technical field of data processing, and the method comprises the steps: collecting HR3C pipeline operation data to construct an application scene data set, carrying out the scene analysis to establish a ground state scene, and generating a limit state scene after key features are recognized; establishing environment change rate characteristics based on ground state and limit state scenes; and obtaining pipeline information to configure a dynamic fatigue prediction model, inputting related data to execute fatigue prediction, and performing pipeline management according to a prediction result. The technical problem that the prediction result and the actual service state have large deviation due to the fact that the fatigue evolution process of the HR3C pipeline under the variable working condition and the environment disturbance condition is difficult to accurately reflect in the prior art is solved, and the aim that the fatigue evolution process of the HR3C pipeline under the variable working condition and the environment disturbance condition is obtained by constructing the scene-based fatigue modeling system and introducing the dynamic environment change characteristics. And the accuracy of HR3C pipeline fatigue damage prediction is improved.

The invention discloses a method and device for determining the fatigue degree of an inlet and outlet pipeline of a compressor and electronic equipment. The method comprises the steps that structural process parameters, pressure parameters and vibration parameters of the inlet and outlet pipeline of a compressor unit are collected; constructing an alternating stress loading spectrum based on the pressure parameters, performing spectrum analysis on the vibration parameters, and extracting characteristic frequency and amplitude information to construct a vibration test spectrum; a full-wall-thickness circumferential weld sample is prepared according to structural process parameters, and a coupling loading system is built; an alternating stress corresponding to the alternating stress loading spectrum and a multi-frequency vibration load corresponding to the vibration test spectrum are synchronously applied to the circumferential weld sample through the coupling loading system; and multi-source response data of the circumferential weld sample under alternating stress and multi-frequency vibration loads are collected, the fatigue degree of the compressor inlet and outlet pipeline is evaluated based on the multi-source response data, the fatigue damage evolution law of the compressor inlet and outlet pipeline circumferential weld under the real service working condition is obtained, and a data basis is provided for circumferential weld fatigue life evaluation.