27 results about "Load cycle" patented technology

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 discloses a method for predicting fatigue life of a high-temperature alloy electron beam welding joint by considering residual stress, which comprises the following steps of: on the basis of a traditional S-N curve of the welding joint, superposing the residual stress, and considering that the residual stress is released along with a fatigue load cycle number so as to correct the S-N curve. Firstly, a change curve of the residual stress attenuation rate Sr along with the cycle index in the fatigue loading process of the high-temperature alloy electron beam welding head is established, and a residual stress reduction coefficient K is obtained through calculation based on the Sr curve. The initial residual stress is corrected by introducing a reduction coefficient K, and the initial residual stress and external load stress are linearly superposed to establish a damage parameter, so that a welded joint fatigue life prediction model considering residual stress release is established. The model has relatively high life prediction precision, and compared with the mode that residual stress is not considered, the life prediction dispersion zone is improved from + / -3 times to + / -1.25 times.

The present application relates to the technical field of high-temperature structural component fatigue strength design and life assessment, and particularly relates to a low-cycle multi-axial fatigue life prediction method based on powder high-temperature alloy damage mechanism. The method comprises: for the dangerous point of the component under non-isothermal multi-axial cyclic loading, calculating pure fatigue damage, pure creep damage and fatigue-creep interaction damage caused by a single load cycle; accumulating the pure fatigue damage, the pure creep damage and the fatigue-creep interaction damage to obtain the total damage of the single load cycle; taking the inverse of the total damage to predict the total failure life of the component under non-isothermal multi-axial cyclic loading. The method of the present application realizes effective prediction of the low-cycle multi-axial fatigue life of the powder high-temperature alloy component by accurately decomposing the damage of the dangerous point under non-isothermal multi-axial cyclic loading, can more truly reflect the comprehensive prediction model of the failure physics of the powder high-temperature alloy under multi-axial thermal mechanical loading, and improves the accuracy and reliability of the life assessment.

The invention discloses an anti-loosening mechanism for connecting an output shaft of a driver with a load end and a robot, and belongs to the technical field of robots, the anti-loosening mechanism comprises a first fastener and a second fastener; the first fastener is used for fixedly connecting the second fastener with the output shaft; the second fastener is fixedly connected with the load end; an anti-skid piece is arranged between the first fastening piece and the second fastening piece and used for preventing relative rotation movement between the first fastening piece and the second fastening piece. According to the anti-loosening mechanism for connecting the output shaft of the driver with the load end and the robot, the problems that in the prior art, the output shaft of the driver is fixed only through a flange plate and a screw, the screw is prone to loosening under the environments of high-frequency positive and negative rotation alternate operation of the driver, periodic impact of the load and the like can be effectively solved; and power transmission interruption is caused.

Various embodiments of the teachings herein include a method for ascertaining at least one average capacity loss of a battery storage device. The method may include: measuring at least two load cycles of the battery storage device using a high precision coulometry apparatus; determining a first charge displacement and a second charge displacement; determining a capacity loss equal to the difference between the first charge displacement and the second charge displacement; repeatedly measuring load cycles until the capacity loss is almost constant in at least two consecutive load cycles; and ascertaining an average capacity loss based on at least two capacity losses.

The invention discloses an electroplating hanger return device and method, and belongs to the technical field of electroplating automation, and the method comprises the steps: periodically collecting the displacement and speed of a hanger queue and the current data of a driving motor, calculating the no-load / full-load cycle efficiency ratio, positioning the energy consumption dispersion and the queue synchronization delay coefficient; and evaluating a comprehensive health index of the system and generating a current and time disturbance weight factor. And a speed curve smoothing factor and a current feed-forward compensation gain are dynamically adjusted based on the weight factor, adaptive closed-loop control is performed on the motor, and optimal adjustment of the return motion of the hanger is realized. According to the invention, the operation synchronism, stability and energy efficiency of the system can be improved, and the adaptability to load fluctuation and equipment aging is enhanced, so that the overall reliability and control precision of the electroplating production line are improved.

The intelligent excavation type loader comprises an excavation type loader body, a dust falling mechanism is arranged on the surface of an excavation arm on the side face of the excavation type loader body, the dust falling mechanism comprises a spraying box arranged on the surface of the excavation arm on the side face of the excavation type loader body, and a nozzle is arranged on the side face of the spraying box; through a nozzle anti-blocking cleaning mechanism such as a sweeping strip automatic cleaning and elastic reset dustproof assembly, dust floating objects on the surface and an opening of a nozzle can be actively removed when the dust falling device is idle, the nozzle is prevented from being blocked, losing efficacy and being healthy, it can be ensured that a water mist system normally outputs atomized water flow during hoeing operation, coal dust and rock dust are intercepted in the first time, and the dust falling efficiency is improved. The dust concentration is reduced, the dust suction amount of workers is greatly reduced, the pneumoconiosis risk is reduced, the efficiency level is high, the view blocking caused by dust falling interruption can be avoided, the problems of bucket adjustment delay and material spilling leakage are reduced, the single-time hoeing cycle time is shortened, and the roadway cleaning and material transferring continuity is improved.

The application provides a door and window processing parameter optimization method and system, relates to the door and window processing field, and obtains door and window parameters and external environment information, establishes a door and window simulation model according to the door and window parameters, converts the external environment information into physical load parameters, then performs accelerated simulation operation on the door and window simulation model based on the physical load parameters, obtains door and window performance evaluation results, and finally generates door and window design optimization information according to the evaluation results, and simulates the long-term performance of the door and window within a preset time period by applying multiple frequency load cycles. Through the technical scheme, the application can effectively solve the problem that the existing technology lacks accurate prediction and evaluation capability for the small local deformation of the super-large size and slender profile door and window under the long-term complex environment and the cumulative influence of the small local deformation on the long-term reliability and optical quality of the door and window, and avoids the performance attenuation and quality problems that may occur in the actual application of the traditional method.

The invention discloses a steam turbine system for improving wide-load cycle efficiency based on a regenerative small machine and an operation method thereof. The steam turbine system comprises a pressurization module, and the pressurization module comprises the regenerative small machine, a pressurization cylinder and a water supply secondary heater; the pressure cylinder and the high-pressure cylinder are coaxially arranged; the main steam pipeline comprises a pressure cylinder branch and a high-pressure cylinder branch; a first steam exhaust port and a second steam exhaust port of the pressure cylinder are connected with a high-pressure cylinder branch and a water supply secondary heater through a first steam exhaust pipeline and a second steam exhaust pipeline respectively; a first steam exhaust valve and a second steam exhaust valve are respectively arranged on the first steam exhaust pipeline and the second steam exhaust pipeline; a high-pressure cylinder steam inlet valve is arranged on the high-pressure cylinder branch between the pressure cylinder branch and the first steam exhaust pipeline; a steam inlet of the regenerative small machine is connected with a first steam exhaust pipeline and a high-pressure cylinder steam extraction opening through a first steam inlet branch and a second steam inlet branch which are connected with the steam inlet main pipe in parallel. A first steam inlet valve and a second steam inlet valve are respectively arranged on the first steam inlet branch and the second steam inlet branch; and the steam inlet end of the first steam inlet branch is connected to the first steam exhaust pipeline between the steam exhaust port of the pressure cylinder and the first steam exhaust valve.

This application relates to a method and system for testing the fatigue life of a spring. The method includes: simultaneously acquiring instantaneous force and displacement signals of the spring under test, and identifying each loading cycle based on the instantaneous force and displacement signals; extracting characteristic parameters reflecting the mechanical response characteristics of the spring based on the instantaneous force and displacement signals corresponding to each loading cycle; tracking the changing trend of the characteristic parameters with the number of loading cycles, and calculating the rate of change of the characteristic parameters based on the changing trend; and determining the fatigue failure point of the spring based on the changing trend and the rate of change. This invention can significantly improve the reliability of fatigue life test results and provide accurate data support for spring design optimization.

The application discloses a short-term power load prediction method and system based on a graph-enhanced time-frequency double-branch structure and belongs to the technical field of power system load prediction. The application firstly pre-processes a power load sequence, obtains phase-enhanced time sequence characteristics through adaptive time domain inquiry, extracts multi-scale enhanced characteristics through multi-scale convolution, and then inputs the time-frequency double-branch to obtain time domain and frequency domain preliminary prediction results respectively; graph structure modeling is further used to realize variable correlation enhancement and obtain graph-enhanced time-frequency characteristics; finally, adaptive weighted fusion is performed to obtain power load prediction results. The application can accurately model load cycle characteristics, fully excavate variable coupling correlation, significantly improve the precision, robustness and scene adaptation capability of short-term load prediction, and meet the engineering application requirements of new power systems.

This invention relates to the field of metallurgical lifting equipment testing technology, specifically a method for predicting the fatigue crack propagation life of metal structures in metallurgical cranes. The method includes: collecting structural stress spectrum, strain monitoring time-series data of stress concentration areas, lifting operation spectrum, and temperature and humidity data under service conditions; constructing an initial crack parameter model; calculating the stress intensity factor variation spectrum, including the amplitude of the stress intensity factor at the crack tip corresponding to each load cycle; calculating the crack propagation increment per cycle and accumulating the crack size evolution data; setting a critical crack propagation size threshold based on structural integrity assessment criteria; and predicting the fatigue crack propagation life by comparing the evolution data with the threshold. This method refines the calculation dimensions of the stress intensity factor, restores the dynamic evolution process of crack size, closely matches the actual service load characteristics of metallurgical cranes, and optimizes the accuracy of crack propagation life prediction.

This invention proposes a method and system for constructing a component life prediction model based on physical mechanisms, belonging to the field of fatigue life prediction technology. Addressing the problem of low accuracy in existing life prediction results, this invention acquires load data of structural components and bearings, classifies the load data, and statistically analyzes the number of cycles to obtain load cycle statistics, calculating damage characteristic parameters of structural components and bearings under actual working conditions. Based on the structural component damage characteristic parameters, the cumulative damage degree of the structural component is calculated, and the cumulative damage degree of the bearing is calculated based on the bearing damage characteristic parameters. According to the load transfer coupling relationship between the structural component and the bearing, the cumulative damage degree of the structural component and the cumulative damage degree of the bearing are coupled and corrected to obtain corrected cumulative damage degrees of the structural component and bearings. A structural component life prediction model is constructed based on the corrected cumulative damage degree of the structural component, and a bearing life prediction model is constructed based on the corrected cumulative damage degree of the bearing. This invention provides high accuracy in life prediction results.

This invention discloses a method for calculating the installed capacity of distributed generation (DG) in a distribution area based on the time-series power of distribution transformers. The method includes: classifying the target distribution area by DG type; matching the DG type classification results with corresponding time period filtering principles; filtering the corresponding pure load time periods according to the time period filtering principles; obtaining pure load time period data; classifying the pure load time period data by date type; extracting the load cycle features corresponding to each date type; fitting the load cycle features using a pre-trained LSTM neural network model; outputting the load prediction value corresponding to the pure load time period; calculating the DG output at the corresponding time based on the load prediction value; filtering the maximum DG output value for the pure load time period; assigning dynamic coefficients to the maximum DG output value; and outputting the actual installed capacity of the target distribution area. This method improves the accuracy of DG installed capacity calculation, enhances data robustness, is applicable to a wider range of application scenarios, and is low-cost and easy to implement.

The application belongs to the technical field of environmental aging test, and is a large and medium-sized aircraft engine nacelle structure environmental simulation test method. The overall structure of a specific test procedure and multiple action modes of accelerated aging test are determined. Then, the material characteristics of the aircraft are analyzed to determine the specific design requirements of the accelerated aging test. Finally, the use and maintenance requirements of the aircraft, the load cycle conditions, and the environmental parameters and action time are analyzed to perform the accelerated aging test. On the one hand, the aging resistance performance of the material of the special temperature-medium environmental structure of the large aircraft engine nacelle can be accurately evaluated. On the other hand, the period of the accelerated aging test in the test process is short. Through the indoor artificial accelerated aging test, the time for evaluating the aging resistance of the large aircraft in a specific environment is shortened to 3% of the natural environment. On the other hand, the requirement for the equipment for implementing the test is low, and the existing medium-resistant and heating test equipment can be used for the accelerated aging test.

According to the STIRPAT and conditional diffusion model-based power load prediction method and system and the medium, the nonlinear influence of multiple factors on the load is accurately quantified by expanding the STIRPAT model and a ridge regression solving method, a periodic perception noise adding and conditional embedding mechanism is adopted, multi-factor driving and time sequence generation are deeply fused, and the power load prediction efficiency is improved. The capturing capability of a load period rule and dynamic fluctuation is remarkably improved, and point prediction and interval prediction of the power load are realized based on a conditional diffusion model. The method is suitable for accurate prediction of medium-and-short-term power load and power consumption in different scale scenes such as regional power grids, industrial enterprises and commercial parks, and can provide technical support for planning and design of a power system, scheduling operation optimization, power consumption management decision and power-carbon coordinated regulation and control.

The application discloses a kind of based on heat dissipation's ultra-high cycle fatigue stress life curve evaluation method.This method is loaded by stepwise increment fatigue stress amplitude to single sample, until the sample breaks;Real-time monitoring test sample surface temperature rise under different stress amplitude and corresponding cycle loading cycle;By analyzing the heat dissipation of single sample under different stress amplitude, the fatigue life limit under each stress amplitude is calculated, and the complete stress life curve is constructed.The number of fatigue test samples is greatly reduced, the ultra-high cycle fatigue stress life curve of the material is quickly obtained, the experimental cost is effectively reduced, and reliable data support is provided for material design and service safety evaluation.

This invention relates to a method for evaluating the fatigue behavior of welded joints, specifically for welded joints of high-strength steel structural components operating under dynamic loads. The method includes the following steps: butt welding two identical substrates to obtain a butt joint with a butt weld seam; placing a vertical plate on the front side of the butt weld seam and performing a fillet weld to obtain a fillet weld seam, resulting in a specimen with both a fillet joint and a butt joint. The welding direction of the fillet weld seam is perpendicular to the welding direction of the butt weld seam, and the center of the fillet weld seam intersects with the center of the butt weld seam; subjecting the specimen to a three-point bending load fatigue test, placing the side of the specimen with the fillet weld seam and the butt weld seam on the tension surface. When the indenter meets the maximum displacement threshold, the specimen is considered to have failed, and the corresponding number of load cycles is taken as the fatigue life of the specimen. This invention can simulate the interaction and fatigue failure behavior of butt weld seams and fillet weld seams under actual dynamic loads, providing indirect fatigue behavior evaluation for large high-strength steel structural components.

The present application relates to the field of motion simulation, in particular to a motor life prediction method based on motion simulation, comprising the following steps: according to the automobile motion state test, the vibration displacement and frequency parameters are called to generate the transient acceleration time history load sequence; the space coordinates of the inner rotor core and the permanent magnet of the automobile motor are extracted, the transient acceleration time history load sequence is mapped to the interface node, and the rotor interface impact stress wave distribution is calculated. The present application combines the fatigue crack propagation threshold, the material fracture toughness threshold, the micro crack dynamic expansion step set and the impact load cycle number upper limit extreme value to make cumulative determination, can establish a clear boundary between the crack progressive expansion stage and the unstable fracture critical stage, make the permanent magnet fracture critical life prediction result consider the cycle damage accumulation process and the instantaneous fracture risk, and improve the critical determination accuracy of the automobile motor life prediction.

The application discloses a time sequence load reconstruction method based on rain flow counting and belongs to the field of engineering technology load spectrum compilation. The steps of the method comprise the following steps: preprocessing of load data; extraction of load peak and valley values; resampling of load data; rain flow counting of load data; division of rain flow matrix according to large and small load amplitudes; elimination of small-amplitude load area; reconstruction of residual load; and evaluation of time sequence load. The application proposes a new time sequence load signal reconstruction method, eliminates load cycles with small damage contribution of original load signals, reconstructs into new time sequence load cycles, shortens the length of load data, and provides a new method for rig accelerated test.

Comprehensive digital-physical testing system: a simulation device (1) comprising a numerical calculation model for digital modeling the static crack tip stress of a cracked component and a test device (2) for the physical testing of the dynamic damage and crack propagation behavior of a cracked test specimen (10); wherein the test device (2) comprises a testing machine (20) with a clamping device (21) for fixing and dynamically loading a cracked test specimen (10) by means of the testing machine (20) and a detection device (3) for detecting and tracking at least one cracked area of ​​the test specimen (10), the testing system is trained to automatically execute the following process steps: a) Initial calculation of parameters of the crack tip stress of the cracked component using the simulation device (1) under specification of an initial crack geometry a initial of the overall component, external loads F acting on the overall component and the time course of the acting loads ΔF; b) Applying a number of load cycle increments N to the cracked test specimen (10) by specifying the calculated parameters of the crack tip stress from step a) and a number of load cycles N using the testing machine (20) and measuring the changed crack geometry a N , comprising the crack path geometry as well as the crack tip coordinates a x and a y , on the test specimen (10) by means of the detection device (3) as crack propagation increment due to the imprinted load cycle increment; c) Introducing the modified crack geometry a Nfrom step b) into the numerical calculation model of the overall component and subsequent calculation of parameters of the crack tip stress of the cracked overall component with the modified crack geometry a N via the simulation device (1) under specification of acting external loads F and the time course t of the acting loads ΔF; and d) Optional repetition of process steps b) and c) for any integer number of repetitions, wherein in step b) the calculated parameters of the crack tip stress from the previous step are adopted and wherein in step c) the modified crack geometry a N taken from the previous step and used to determine a progressive fatigue crack.

Various embodiments include a method for ascertaining a mean capacity loss of a battery storage device. The method may include: providing results of a measurement series on the battery storage device taken during a plurality of load cycles, each including a charging and a discharging phase; ascertaining a first and a second discharge capacity of the device using a first and a second calculation rule, wherein each calibration is different for correcting values of the current measurement; and carrying out an optimization process so a calibration of the current measurement is ascertained to achieve the greatest match of the ascertained first discharge capacity and the second discharge capacity.

The invention belongs to the technical field of X-type thrust rod testing, and particularly relates to an X-type thrust rod testing method based on an RLDC rain flow counting method and a test bench, and the method comprises the steps: collecting a load time sequence of an X-type thrust rod in actual driving, extracting a high-damage load cycle through rain flow counting, and converting the high-damage load cycle into a program load spectrum which can be executed by the bench. And setting control parameters of the driving device according to the spectrum so as to reproduce the combined loading of the lateral force, the radial force, the vertical force and the torsional force. And the three driving devices are controlled to work cooperatively, and loading tests which are accumulated to exceed preset times are completed according to a preset sequence and cycle times. And detecting the fatigue and anti-loosening performance of the X-type thrust rod and the connecting bolt thereof. According to the method, the actual road spectrum is concentrated and converted into a repeatable rack program, the test period is shortened, the composite stress under the complex road condition can be truly simulated, and the durability of the thrust rod assembly and the anti-loosening reliability of the bolt are effectively verified.

The invention provides a multi-state loading cycle control method, and belongs to the technical field of test benches, and the method comprises the steps: calculating the difference between a target value and an actual value to obtain a deviation, inputting the deviation into a self-adaptive dynamic matrix control algorithm to obtain a multivariable coordination control quantity, and inputting the multivariable coordination control quantity into a fuzzy PID controller to obtain a real-time control increment; a feedforward compensation quantity, a multivariable coordination control quantity and a real-time control increment are superposed and then output to an actuator, a recursive least square method is utilized to update matrix parameters of a step response model regularly, an extended Kalman filter is utilized to estimate and correct sensor deviation and a dead zone of the actuator, a heterogeneous computing architecture allocates computing tasks, and a real-time control function is realized. The delay duration of the control period is monitored in real time, a sensor collects data to generate a fault signal, the state is recorded, breakpoint continuous transmission is achieved, and the technical problem that state switching transient control precision is low in the multi-state cyclic loading process is solved.

An aircraft structure online health monitoring method based on artificial intelligence comprises the following steps that A1, sensors are arranged in pairs at similar positions of an aircraft structure, the two positions are called a position a and a position b respectively, and a strain sensor and a temperature sensor are arranged at the position a and the position b respectively; the aircraft structure similar position means that the sensor arrangement position structure configuration is similar to the sensor direction topology. A2, an aircraft structure sb-sa-T curve linear model is established, generalized flexibility amplitude and phase are defined, a binary linear function relation is formed between a position strain, b position strain and temperature difference which are arranged in pairs on a health state structure in a load cycle rising stage during the service period of the aircraft, a three-dimensional curve is formed in space, and a three-dimensional curve is formed; the curve is abbreviated as an sb-sa-T curve. And A3, determining an effective sb-sa-T curve linear model: firstly, determining a load cycle rising stage, then, determining a generalized flexibility calculation step length and load cycle rising stage segmentation, determining an effective criterion of the sb-sa-T curve linear model, and finally, determining the effective sb-sa-T curve linear model.

The invention relates to the technical field of sewage treatment, in particular to a feeding control method and device of a sludge drying system and a storage medium. The method comprises the following steps: acquiring a current signal and a motor rotating speed in a feeding process of the sludge drying system; screening a rotating load stable period based on the rotating load signal-to-noise ratio of each period; obtaining harmonic vector periodic variation according to the difference of different components in the harmonic component complex vectors of each period and the previous period; evaluating the mechanical rigidity according to the harmonic component complex vectors of the stable period and the previous period of the rotating load; evaluating the external interaction strength of the entanglement according to the periodic variation of the harmonic vector; and comparing the size relationship between the mechanical rigidity of the rotating load stable period and the external interaction strength of the entanglement and corresponding threshold values, determining the winding state, and then executing a corresponding regulation and control strategy. According to the feeding parameter regulation and control strategy provided by the invention, the operation efficiency reduction caused by response lag or blind intervention is avoided, so that the feeding process is smoother.

The present application relates to the technical field of metallurgical crane detection, in particular to a metallurgical crane metal structure fatigue crack propagation life prediction method, comprising: collecting structure stress spectrum, stress concentration area strain monitoring time series data, hoisting operation spectrum and temperature and humidity data under service environment, constructing initial crack parameter model, calculating stress intensity factor change spectrum containing crack tip stress intensity factor amplitude corresponding to each load cycle, calculating single cycle crack propagation increment and accumulating to obtain crack size evolution data, setting crack propagation critical size threshold value combined with structure integrity evaluation criterion, and predicting fatigue crack propagation life by comparing evolution data with threshold value. The method refines the stress intensity factor calculation dimension, restores the crack size dynamic evolution process, fits the actual service load characteristics of the metallurgical crane, and optimizes the accuracy of the crack propagation life prediction.