313 results about "Life evaluation" patented technology

The invention discloses a fatigue test method for a cabin structural member of an offshore wind power generator. A test piece is subjected to surface treatment, a multi-sensor array is arranged, the test piece is placed in a combined system of a multi-axis dynamic loading unit and a collaborative environment simulation cabin, an intelligent control and analysis platform synchronously applies a multi-axis alternating load, salt spray corrosion and a circulating temperature and humidity environment, and real marine service conditions are simulated; the state of a test piece is evaluated in real time based on criteria such as a strain concentration coefficient and acoustic emission energy, a strengthening test is started for potential damage risks, a load strategy is adjusted to track crack propagation when microcracks are monitored, and after the test is ended, a fatigue life prediction model is established or calibrated by combining failure test piece analysis data. And outputting a life evaluation result and a structure improvement suggestion. Through the multi-factor collaborative simulation and self-adaptive control technology, the authenticity and efficiency of the test are improved, and technical support is provided for design optimization and reliability guarantee of offshore wind power cabin structural parts.

The invention discloses a super capacitor energy storage life evaluation method under a fire storage frequency modulation working condition, relates to the technical field of power system energy storage, and can at least partially solve the problems that an existing super capacitor life evaluation method is poor in adaptability to the frequency modulation working condition, insufficient in multi-factor coupling quantization and lack of engineering criteria. The method comprises the steps of simulating a fire storage frequency modulation working condition and collecting multi-dimensional operation data of a super capacitor; preprocessing the collected data and extracting life characteristic parameters such as capacity attenuation rate, equivalent C rate, average temperature rise, frequency modulation load factor and the like; key influence factors are screened through correlation analysis, weight coefficients are trained through a machine learning algorithm, and a coupling influence coefficient model is constructed; establishing a capacity attenuation equation, an equivalent series resistance growth equation and a response delay growth equation, and fusing three criteria to determine a life end point; and dynamically correcting model parameters based on the real-time frequency modulation data and calculating the residual life. Accurate evaluation and dynamic prediction of the service life of the super capacitor under the fire storage frequency modulation working condition are achieved.

The invention discloses an intelligent pipe network leakage active prediction and early warning system based on multi-technology fusion, and the system comprises a multi-source heterogeneous data fusion collection module, a spatial-temporal feature depth extraction module, a degradation trend prediction and residual life evaluation module, and a multi-stage early warning and decision generation module. The multi-source heterogeneous data fusion acquisition module acquires and fuses ultrasonic guided wave signals, pressure flow time sequence data and environmental factor data; the spatial-temporal feature depth extraction module extracts spatial-temporal fusion features through continuous wavelet transform and a CNN-LSTM hybrid network; the degradation trend prediction and residual life evaluation module determines a degradation level, predicts residual life and quantifies a pipe explosion risk probability; the multi-stage early warning and decision generation module generates graded early warning signals and maintenance strategy suggestions, the technology crossing from post-event detection to pre-event prediction is realized, and the scientificity and refinement level of operation and maintenance management of a pipe network are effectively improved.

The invention discloses a method and a system for testing corrosion fatigue of a bone implantation device under a pathological condition, and relates to the technical field of orthopedic medical device evaluation, and the method comprises the following steps: constructing a dynamic load spectrum database covering physiological and pathological states; in-vitro reproduction of a dynamic mechanical environment borne by the bone implantation instrument in physiological and pathological states is completed through a multi-axis servo system; and acquiring service state data of the bone implantation instrument, and analyzing the service state data of the bone implantation instrument to obtain coupling experiment data. According to the invention, the defects of single load mode and environment simulation distortion in the traditional test method are overcome, high-fidelity simulation and comprehensive monitoring of the corrosion fatigue behavior of the bone implantation device under the pathological condition are realized, the consistency of the in-vitro test result and the in-vivo actual service performance is improved, and the application prospect is wide. And a scientific and unified evaluation basis is provided for material screening, structure optimization and service life evaluation of different types of bone implantation instruments.

The invention relates to the technical field of bridge engineering detection and life evaluation, and discloses a bridge deck residual fatigue life prediction method and system based on real-time image information. The objective of the invention is to solve the problems of low subjective efficiency, time-consuming numerical simulation, low automation and intelligence level and poor generalization ability of the existing in-service bridge RC deck residual fatigue life evaluation means. According to the scheme, an evaluation system including image acquisition, physical simulation data set generation, deep learning evaluation model and result output is constructed; generating a bridge deck crack image-residual fatigue life pairing data set covering mirror symmetry and extreme crack modes by using a high-fidelity physical simulation platform, and training an end-to-end deep convolutional neural network regression model; a bridge floor image is collected on site and preprocessed, the residual fatigue life is directly output by an input model, and finally a visual evaluation report is generated.

The invention discloses a safety valve service life evaluation method based on pressure history statistics and dynamic damage accumulation. According to the method, only safety valve inlet pressure time sequence data is needed, a load cycle is extracted through an improved rain flow counting method, and the nonlinear damage increment is calculated according to an S-N curve model dynamically degraded along with the accumulated damage degree. According to the method, a self-adaptive failure probability threshold is established based on historical failure data, and probabilistic prediction of the residual life is realized. The model is clear in physical significance, only needs a single data source, significantly reduces the implementation complexity and cost, greatly improves the precision of life prediction by considering the degradation of material performance, and is especially suitable for predicting the accelerated failure risk of the safety valve in the later period of long-term service.

The invention relates to the technical field of electronic component reliability engineering and environmental engineering, and discloses an electronic component environmental adaptability reliability prediction and life evaluation system and method, and the system comprises an environmental parameter collection module, a reliability prediction module, a life evaluation module, and a data storage and interaction module. According to the invention, a multi-dimensional sensor array including temperature, humidity, vibration, electromagnetic radiation and salt mist concentration is adopted by an environmental parameter acquisition module, multi-physical field stress parameters are synchronously acquired, and common environmental interference factors of electronic components are covered; a Kalman filtering algorithm is built in the data preprocessing unit to suppress environmental noise, the noise suppression ratio is increased by 40%, then abnormal values are eliminated through the 3 sigma criterion, and the data integrity reaches 99% or above; besides, the stress simulation sub-module realizes single / multi-stress coupling simulation through a temperature control cabin, a vibration table and the like, and ensures that the simulation stress steady-state error is less than or equal to 1% in combination with PID feedback control, so that extreme environment data of a laboratory can be supplemented, and the problem of insufficient field data is solved.

The invention discloses a source load impact and system bearing life evaluation method and system, equipment and a medium, and relates to the technical field of traction power supply, and the method comprises the steps: collecting data to recognize impact, building a source load model, analyzing an impact diffusion path, evaluating system bearing, fusing multi-dimensional damage, calculating the residual life of the equipment, and automatically updating parameters. And generating a closed-loop regulation and control strategy. The system comprises a data analysis and dynamic modeling module, a bearing evaluation and conduction analysis module, a damage coupling and life prediction module and a parameter correction and strategy generation module. The traction impact time domain-frequency domain-topology integrated quantization is realized, and the problem of impact time-space diffusion assessment is solved. A life model is constructed, and multi-dimensional stress damage is accurately mapped. The micro-simulation and on-line filtering technology is utilized to ensure that model parameters are adaptively updated along with working conditions, and the problem of disjunction between evaluation and actual conditions is solved. The method supports side cloud cooperation and closed-loop pre-control, effectively improves the safety margin of the power grid, and delays the aging of equipment.

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.

The invention belongs to the technical field of wind power operation and maintenance, and discloses a wind turbine generator intelligent maintenance system combined with component residual life evaluation, which comprises a sensing edge layer, a station cooperation layer, a cloud intelligent center, an execution and safety interlocking layer and a credible evidence storage layer. The system collects unit operation and environment data through the edge layer, gathers the data through the station cooperation layer, inputs the data into the cloud intelligent center for multi-domain degradation modeling and life prediction, and determines a maintenance window and a resource scheduling scheme based on a comprehensive cost optimization model. The cloud center realizes cross-station model sharing and self-learning through a federated learning mechanism, the execution layer completes maintenance tasks and safety locking control, and the trusted evidence storage layer performs block chain abstract evidence storage on key data. According to the system, health state evaluation, intelligent maintenance decision making and whole-process credible tracing of the wind turbine generator are realized, and the operation and maintenance safety and economy are improved.

The invention discloses an active power filter residual life evaluation method, system and device, a medium and a product, and the method comprises the steps: constructing a failure degradation model of a DC side capacitor of an active power filter and a failure degradation model of an IGBT power module through a Wiener process; determining an edge cumulative distribution function of the direct-current side capacitor and an edge cumulative distribution function of the IGBT power module, coupling the edge cumulative distribution function of the direct-current side capacitor and the edge cumulative distribution function of the IGBT power module by using a Copula function, and based on a joint degradation probability distribution model, performing Monte Carlo simulation to obtain a degradation probability distribution model. According to the method, the degradation tracks of the direct current side capacitor and the IGBT power module from the starting moment to the future moment are simulated, and when any one degradation track passes through the failure threshold value, the latest moment is determined as the degradation moment, so that the residual life estimation value of the active power filter is determined, and the precision of residual life estimation is improved.

The invention provides a motor stator potting structure failure risk assessment and optimization design method. The method comprises the following steps: firstly, establishing a simplified numerical calculation domain based on a potting structure, carrying out grid and time step length independence verification, carrying out parameter sensitivity analysis and experimental measurement, and establishing a high-precision thermal-mechanical coupling numerical calculation model; then, in combination with the simulation result and the temperature change constitutive characteristics of the ultimate strength of the material, a node-level failure risk calculation method is provided, failure risk indexes of different stress forms are obtained, and a weighted comprehensive failure risk evaluation standard is determined according to the contribution degree of the stress forms to failure behaviors; and finally, proposing a parameterized structure optimization scheme according to a dangerous area and a dominant failure mechanism, carrying out quantitative evaluation and optimization on the candidate scheme under a weighted comprehensive failure risk evaluation standard, and determining a final structure optimization scheme. The method has the advantages of closed flow loop and quantifiable indexes, and is suitable for reliability design and life evaluation of the motor encapsulation structure.

The invention relates to the technical field of fatigue simulation, in particular to a method for quickly predicting fatigue life and related equipment. The method comprises the steps of obtaining fatigue life evaluation parameters; the fatigue life evaluation parameters are preprocessed; performing multi-dimensional damage feature extraction on the preprocessed fatigue life evaluation parameters through the physical quantity change rate to obtain multi-dimensional features; performing compression parameter adaptive optimization on the multi-dimensional features through a multi-target genetic algorithm to obtain an optimal parameter combination; carrying out compression load reconstruction on the multi-dimensional features and the optimal parameter combination to obtain a compression load spectrum; and performing closed-loop verification and iteration on the compression load spectrum to obtain a target load spectrum. According to the method, the calculation efficiency and the adaptive capability can be remarkably improved while the prediction precision is ensured.

The invention belongs to the technical field of winch joint fatigue test, and discloses a fatigue test device for an electric winch joint of a search and rescue helicopter, which comprises a bottom fixing plate fixedly connected to a bearing ground rail of a plant; the test piece boundary simulation frame is fixedly connected to the bottom fixing plate, the winch joint test piece is arranged in the test piece boundary simulation frame, and the real use state of the search and rescue helicopter winch joint is simulated; one end of the dowel bar false piece is inserted into the winch joint test piece and is fixedly connected with the winch joint test piece through an anti-loosening bolt; the two loading assemblies are connected to the dowel bar false piece in parallel, and a certain distance is formed between the two connecting point positions; and the three bearing handle assemblies are respectively connected to the other ends of the two loading assemblies and the dowel bar false piece. According to the invention, the problem that the fatigue test cannot be carried out on the winch joint in the prior art is solved, and effective data support is provided for structural design and improvement and life evaluation of the winch joint of a search and rescue helicopter.

The invention discloses a mechanical part fatigue life prediction and optimization design method, and belongs to the field of mechanical engineering and material science. The comprehensive technical scheme based on multi-environmental-factor dynamic coupling, intelligent global optimization and real-time feedback adaptive adjustment is provided for solving the problems of insufficient consideration of multi-environmental-factor influence, inaccurate life evaluation and low optimization efficiency in the prior art. The method comprises the following steps: firstly, acquiring fatigue damage data of a mechanical part under various environmental factors, and establishing a comprehensive fatigue life prediction model; secondly, realizing global optimization of design parameters of the mechanical part by adopting an intelligent optimization algorithm, and prolonging the fatigue life; meanwhile, in combination with real-time monitoring data, parameters are adjusted and optimized in a self-adaptive mode, and dynamic optimization of mechanical parts in the service process is achieved. The method can significantly improve the accuracy of fatigue life prediction and the service life of the mechanical part, and is suitable for design, operation and maintenance of the mechanical part under complex working conditions.

The invention relates to the field of electric vacuum devices, and provides a method, a device and equipment for evaluating the service life of a space traveling wave tube, and the method comprises the steps: generating an equivalent comprehensive stress profile according to an on-orbit working profile of the space traveling wave tube; under the action of the equivalent comprehensive stress profile, continuously collecting a life characteristic parameter set; performing data preprocessing on the life characteristic parameter set, performing stable degradation interval identification on the obtained purification parameter set, and determining a starting moment of a stable degradation interval; performing filtering smoothing processing on the purification parameter set from the starting moment, inputting obtained smooth degradation data into a preset machine learning model library, determining an optimal degradation function according to an information criterion, and obtaining a life point estimation value based on the optimal degradation function; and obtaining life interval estimation according to the life point estimation value. According to the invention, the problems of long test period and low accuracy of space traveling wave tube life evaluation in the prior art are solved, and rapid and accurate prediction of the long life of the space traveling wave tube in limited test time is realized.

The invention discloses a hydrophobic-carbonization coupled chloride ion diffusion bonding prediction method and system, and belongs to the field of inorganic cementing material durability numerical analysis and multi-field coupling modeling. The method comprises the following steps: dividing chloride ions in a material into free chloride ions and combined chloride ions, and establishing a total chloride ion concentration expression relationship; under a two-dimensional transmission condition, establishing a chloride ion diffusion-binding coupling control equation based on mass conservation and Fick diffusion law, and introducing a hydrophobic correction factor and a carbonization influence factor; a Langmuir isothermal adsorption model and a first-order kinetic equation are adopted to describe the chloride ion binding behavior; and carrying out numerical solution on the unsteady migration and combination process of the chloride ions in the cementing material to obtain the spatial and temporal distribution of the chloride ion concentration under different conditions. The method can quantitatively describe the coupling influence of hydrophobic modification and carbonization on chloride ion diffusion and binding behaviors, is high in prediction precision, and is suitable for durability analysis and engineering life evaluation of alkali-activated materials and geopolymers.

The invention relates to the technical field of electrical equipment detection, in particular to a defect detection method of an insulating cylinder, and aims to solve the problem that in the prior art, the defect detection of the insulating cylinder mainly depends on two-dimensional image analysis, and three-dimensional parameters such as crack depth and defect volume cannot be obtained, so that equipment life evaluation is lack of data support. According to the method, the two-dimensional texture image and the three-dimensional point cloud data are synchronously collected, the depth deviation graph is constructed, the dynamic pseudo defect suppression and self-adaptive partitioning technologies are combined, multi-modal feature fusion is achieved through the attention-enhanced lightweight Transform model, the problems that three-dimensional parameters cannot be quantized and pseudo defects cannot be misjudged in a traditional method are solved, and the method is suitable for being applied to multi-modal feature fusion. The method has the advantages of improving detection precision and real-time performance, accurately distinguishing real defects from dynamic pseudo defects and quantifying defect three-dimensional parameters.

The invention relates to the technical field of mechanical structure strength evaluation and structural design, and provides a safety evaluation and design method for a ship longitudinal welding structure, which comprises the following steps: determining a damaged key part; detecting the size of the minimum detectable crack in the ship longitudinal welding structure by adopting a nondestructive detection method; carrying out regularization and normalization processing on the crack obtained by detection; calculating a stress intensity factor amplitude corresponding to the current crack; judging whether the crack is expanded or not by combining a fatigue crack expansion threshold value predicted by a Zhu-Xuan model; based on a nondestructive testing result and a three-dimensional crack propagation analysis model, establishing a crack propagation digital twinborn body; and according to crack propagation prediction results and residual life evaluation results of the crack propagation digital twin under different structure schemes, safety and reliability of different welding structure forms, size parameters and process schemes are compared, and optimal design of the ship longitudinal welding structure is achieved.

The invention relates to the field of electric variable measurement, in particular to an ammeter relay life evaluation method and system, and the method comprises the steps: obtaining the current data of a relay under different historical loads, calculating the current distortion damage degree of different loads, and obtaining a current distortion damage sequence sorted according to the magnitude of load current; adjusting the current distortion damage sequence to obtain a load current-distortion damage degree curve, obtaining a preset threshold value of a load grade demarcation point, and further obtaining load damage amounts of different load grades; calculating the service life loss degree of the relay according to the load damage amount of different load grades; acquiring historical data of a plurality of relays to train a preset LSTM model, and optimizing model parameters through a preset loss function to obtain a life estimation model; and acquiring real-time data of the relay, and inputting the real-time data into the life prediction model to complete evaluation of the real-time residual life of the relay. The method has the effect of accurately evaluating the service life of the relay.

The invention discloses an equivalent calculation method for quantitative evaluation of the residual life of an existing pavement and a storage medium, and the method comprises the steps: firstly, determining a bearing threshold value of a lossless pavement structure based on a dual-modulus elastic layered system theory; secondly, a reduction coefficient of typical diseases to the structural strength is quantified through finite element simulation; thirdly, establishing a mathematical relationship model of the maximum effective stress and the fatigue life; then, actual disease information is accurately obtained by combining nondestructive testing technologies such as ground penetrating radar and three-dimensional laser scanning; then, correcting the maximum allowable equivalent stress in a lossless state according to the disease data; and finally, fusing the theoretical model and the traffic load history, and calculating the remaining service life. According to the method, three-dimensional and quantitative analysis on the influence of the diseases is realized through a mechanical response equivalence principle, the accuracy, objectivity and engineering application efficiency of residual life evaluation are remarkably improved, and a reliable basis is provided for scientifically making a road maintenance decision.

The invention provides an aircraft equipment calendar life evaluation method based on multi-data source fusion, and relates to the technical field of aircraft equipment life evaluation, and the method comprises the following steps: S1, data sources are classified and collected; s2, constructing key degradation parameters; s3, establishing a multi-source fusion degradation model; s4, establishing a life arrival judgment basis of the aircraft equipment; s5, predicting the remaining life of the aircraft equipment; according to the method, the limitation of a single data source is avoided by fusing multi-dimensional information such as external field use data of aircraft equipment, detection data of a disassembly part during overhaul, test data obtained by a simulation test, design parameter data and the like; therefore, the state change and performance degradation condition of the aircraft in the actual use process can be known more comprehensively and accurately, a more comprehensive and accurate aircraft use environment and degradation model is constructed, and the accuracy and reliability of aircraft life evaluation are improved. Therefore, the problem of excessive maintenance or insufficient maintenance caused by inaccurate evaluation of the aircraft equipment is avoided.

The invention relates to the technical field of wind power generation, and discloses a wind power blade quality evaluation method and system, and the method comprises the steps: obtaining a wind power blade image, and extracting a to-be-analyzed defect edge according to the wind power blade image; clustering each defect edge to be analyzed, and determining a defect evaluation value of the wind power blade according to a clustering result; acquiring historical blade rotating speed data of the wind power blade, and determining a service life evaluation value of the wind power blade according to the historical blade rotating speed data; and determining a quality evaluation value of the wind power blade according to the defect evaluation value and the service life evaluation value of the wind power blade, and performing quality early warning on the wind power blade according to the quality evaluation value. According to the method, the blade quality is accurately evaluated by integrating the defect evaluation and the service life evaluation of the wind power blade, and the accuracy of the quality evaluation of the wind power blade is effectively improved.

The application discloses a kind of optical coupler health state evaluation methods based on switching time characteristic parameters, pre-calibration switching time characteristic parameters t r The mapping relationship between CTR;In the state that optical coupler is in online operation, the switching time characteristic parameters of optical coupler are detected and calculated t r Online real-time detection value;Based on the mapping relationship between pre-calibration switching time characteristic parameters t r The mapping relationship between CTR;The online real-time value of CTR corresponding to optical coupler is calculated;Based on the change of the online real-time value of CTR corresponding to optical coupler with the online operation time of optical coupler, the health state of optical coupler is evaluated;The application avoids the complex measurement process of directly measuring CTR and avoids the interference to original circuit in measurement process;Meanwhile, the application is based on the performance degradation condition of optical coupler under real switching mode, and the life evaluation model is established under actual working environment, so that the health state of optical coupler under specific condition can be more accurately reflected.

An evaluation method for the service life of a lubricating grease used for sliding friction pairs in high and low temperature environments, comprising the following steps: a first-stage test: adjusting a lubricating grease at a set temperature and operating same under a rated load to obtain first-stage test data, and, on the basis of the first-stage test data, determining whether the lubricating grease passes the first-stage test; and if the first-stage test is passed, further performing a second-stage test on the lubricating grease on the basis of the first-stage test: operating the lubricating grease under a load above the rated load to obtain second-stage test data, and determine the service life class of the lubricating grease on the basis of the second-stage test data. The evaluation method is used for testing the service life of a lubricating grease used for sliding friction pairs, can quickly test and accurately evaluate the service life of the lubricating grease used for sliding friction pairs, and also can be used in both high and low temperature environments, thereby expanding the application range for the service life evaluation method of lubricating greases.

The invention is suitable for the technical field of data identification, and provides a service life test method and device for a wireless charger, and the method comprises the steps: executing a test process at a preset test temperature, and collecting observation data corresponding to a plurality of sampling moments; wherein the preset test temperature is higher than normal temperature; calculating a health index corresponding to each sampling moment according to the observation data corresponding to each sampling moment; fitting the plurality of sampling moments and the health indexes corresponding to the plurality of sampling moments based on a plurality of degradation track models to obtain a target fitting model; and calculating the service life of the wireless charger according to the target fitting model. Through systematic data acquisition, dynamic evaluation of health indexes, scientific degradation model fitting and reliable life prediction, the accuracy and effectiveness of life evaluation of the wireless charger are significantly improved.

The invention relates to a power component service life evaluation method and system and a storage medium. The power part especially refers to a nuclear turbine long blade. The method comprises the following steps: S1, monitoring the vibration displacement of a predetermined blade flutter area, and carrying out finite element calculation by taking the vibration displacement as a boundary condition to obtain the theoretical vibration stress distribution of the whole blade; and S2, correcting the theoretical vibration stress distribution according to a predetermined correction relation to obtain the actual vibration stress distribution of the whole blade. And S3, based on the actual vibration stress distribution, the fatigue strength coefficient of the blade material, the fatigue strength index of the blade material and the time when the blade enters the flutter area, obtaining an accumulated damage value of the blade. And S4, calculating the residual fatigue life of the blade according to the accumulated damage value. According to the method, the blade life evaluation range is more accurate, the collected data is more accurate, and a reliable basis is provided for safe operation and maintenance of a nuclear turbine.

The present application belongs to the technical field of energy storage safety related, especially relates to a kind of battery life evaluation method, battery protection method and evaluation device.The present application obtains the operation data inside battery monomer periodically, and the operation data is input into preset risk assessment model;Risk assessment model calculates risk parameters according to operation data, and risk assessment model calculates safety parameters according to risk parameters;Wherein, operation data includes temperature and pressure operation data.Through the operation data of the pressure and temperature of the battery when evaluating the battery coefficient is collected, and the risk parameters of the battery are calculated, thereby avoiding the existing evaluation method to exist indirectness and hysteresis of safety monitoring, single dimension of safety risk assessment, inaccurate economic value evaluation and other problems.