110 results about "Wear coefficient" patented technology

The invention relates to the technical field of automobile braking, in particular to an EMB system active calibration method and device.The method comprises the steps that the current and temperature of a brake motor winding in an automobile are collected in real time, the temperature of a brake disc in the automobile and the running speed of the automobile are collected in real time, and based on the current temperature change of the brake motor winding, the braking accuracy of the brake motor winding is improved; compensating the current current of the brake motor winding; determining a wear sensitive factor of the current brake; according to the difference between the clamping rotation angle and the back-off rotation angle of the current and previous multiple braking, the accumulated net rotation angle of the current braking is determined; acquiring a current temperature correction coefficient and a speed correction coefficient; the dynamic wear rate of current braking is determined in combination with the accumulated net rotation angle; and triggering active calibration of the EMB system through the wear sensitive factor and the dynamic wear rate, determining a brake pad wear coefficient based on the wear sensitive factor, and correcting the target rotation angles of the left caliper and the right caliper. Therefore, the braking precision of the EMB system is improved.

The invention discloses a dynamic monitoring method and system for wear of a collector ring carbon brush based on laser scanning, and relates to the technical field of data processing. The method comprises the following steps: acquiring a laser scanning permission instruction; based on the laser scanning permission instruction, a laser scanning device is started, non-contact scanning is carried out on the carbon brush, and three-dimensional shape data of the carbon brush are obtained; constructing a worn carbon brush model, and performing deviation identification with a standard carbon brush model to obtain a first wear result; acquiring operation state data of a target motor by monitoring the target motor acted by a carbon brush; dynamically correcting the first wear result to generate a second wear result; inputting the second wear result into a pre-constructed wear analysis model, and carrying out carbon brush wear quantitative evaluation to obtain a wear coefficient; and when the wear coefficient is greater than a preset wear threshold, generating an early warning instruction. The technical problem that the wear of the collector ring carbon brush is difficult to accurately monitor in real time in the prior art is solved, and the technical effect of accurately monitoring the wear of the collector ring carbon brush in real time is achieved.

The invention relates to the technical field of digital twinning, and discloses a precision casting mold life prediction method based on digital twinning, which comprises a mold data acquisition module, a mold data processing module, a mold coefficient generation module, a prediction model establishment module and a mold life prediction module. Physical data, operation data and maintenance records are synchronously collected through the multi-source sensor, and full-life-cycle real-time monitoring is achieved; establishing comprehensive evaluation of four types of quantization coefficients, thermal fatigue coefficients, comprehensive mechanical coefficients, comprehensive wear coefficients and comprehensive maintenance coefficients to realize multi-field damage coupling analysis; the life prediction index unifies the multi-dimensional damage to be 0-1 standard, outputs a visual life percentage and sets a graded early warning threshold value, so that the prediction precision is improved; all coefficients are calculated through a standardized formula, a full-digital process from data acquisition to index generation to model prediction to decision support is constructed, and the detection requirements of new materials and complex structure molds are met.

The invention relates to the technical field of feeding amount control, in particular to an eccentric shaft grinding control method capable of avoiding workpiece collision, which comprises the following steps: in the process of grinding an eccentric shaft by a processing machine tool, acquiring the actual rotating speed of a grinding wheel at each moment in a preset local time period before the current moment and the actual feeding amount of the grinding wheel at the current moment in real time; calculating the rotating speed variation; determining the friction balance degree of the grinding wheel at the current moment; and the abrasion coefficient of the grinding wheel at the current moment is obtained, the adjusted feeding amount of the grinding wheel at the current moment is determined, and the feeding amount of the grinding wheel is controlled and adjusted through a control algorithm. The feeding amount of the grinding wheel is adjusted in real time, the feeding amount of the grinding wheel is controlled more accurately, collision and impact in the grinding process are effectively avoided, the risk of damage to workpieces and equipment is reduced, and the machining precision of the eccentric shaft is improved.

The invention provides a generator fault diagnosis method based on a carbon brush wear signal, and belongs to the technical field of motor fault diagnosis, and the method comprises the steps: 1, deploying a preset sensor group at a key position of a carbon brush, collecting the related data of the carbon brush, and installing a preset monitoring system in a power collection chamber of a generator, data related to operation of the carbon powder and the generator are collected; 2, processing the collected related data of the carbon brush, and extracting key features of a preset type; 3, determining the wear coefficient of the carbon brush based on the extracted key features; 4, determining the risk coefficient of the generator based on the wear coefficient of the carbon brush, the carbon powder and the related data of the generator operation; and 5, performing multi-level early warning based on the risk coefficient of the generator, and performing corresponding early warning processing measures. The accuracy of fault diagnosis and the timeliness of early warning are improved, and potential faults are effectively prevented.

The invention relates to a reliability test method and device for an emergency diesel engine of a nuclear power plant and a storage medium, and the test method comprises the following steps: obtaining the operation condition information of the emergency diesel engine, and obtaining the estimated total use time of parts of a connecting rod power assembly of the emergency diesel engine based on the operation condition information; structural information of a connecting rod power assembly of the emergency diesel engine is obtained, a dynamic calculation model of the connecting rod power assembly is constructed based on the structural information and the operation condition information, and the dynamic calculation model is used for simulating operation of the connecting rod power assembly in preset time; obtaining a wear coefficient of the part, and inputting the wear coefficient and the estimated total use duration into the dynamic calculation model to obtain the part wear loss of the connecting rod power assembly and the maximum wear loss of the cylinder sleeve; and determining the reliability of the emergency diesel engine according to the part abrasion loss and the maximum abrasion loss of the cylinder sleeve. The test method can guarantee reliable operation of the emergency diesel engine.

The invention provides a wear coefficient correction method for a shield cutter, and relates to the technical field of wear monitoring, and the method comprises the steps: collecting a time sequence magnetic field signal obtained by a magnetic sensor array disposed on a non-rotating part of a shield tunneling machine, and synchronously obtaining a cutter angle coding signal; performing time-frequency conversion and filtering on the magnetic field signal to obtain a noise reduction time sequence signal; determining a geometric position sequence of each shield cutter in combination with the angle coding signals; based on the magnetic sensor pose, the tool position and the magnetic dipole model, theoretical magnetic field mapping between the tool and the sensor is constructed, and a system response matrix is generated; reconstructing an independent magnetic feature vector of each cutter to obtain an optimal feature set; generating a vector difference through comparison with a reference vector, inputting the vector difference into an abrasion identification model, obtaining the abrasion loss and type identification of each cutter, and correcting an abrasion coefficient; the method improves the wear recognition precision and reliability, and is suitable for tunnel construction under complex geological conditions.

The invention discloses a prediction method, device and equipment for the abrasion loss of a hob and a shield tunneling machine, and relates to the technical field of tunnel construction, and the prediction method for the abrasion loss of the hob comprises the steps that first positive force borne by rolling rock breaking of the hob is determined through rock strength, penetration and geometrical parameters of the hob; determining a second positive force borne by the hob when the hob slides to cut the soil layer according to the geometrical parameters, the internal friction angle, the cohesive force and the penetration of the hob and the mechanical action between the hob and the muck; determining a basic hob abrasion loss model based on the sum of the first energy action of the hob in the rock stratum and the second energy action of the hob in the soil layer, the hob ring hardness of the hob and the abrasion coefficient; and predicting the accumulated abrasion loss of the hob according to the shield tunneling ring number and the basic hob abrasion loss model. By executing the steps, the prediction accuracy of the abrasion loss of the hob can be improved.

The invention relates to a quasi-static straight gear wear numerical analysis method, and belongs to the technical field of mechanical engineering. The method comprises the following steps: calculating a dynamic wear coefficient by using a mixed lubrication model; the contact pressure and the sliding distance are calculated in an integral form, a straight gear quasi-static numerical wear model is established by using matlab software with the help of an Archard formula, and a wear value is calculated; the influence rule of the modulus, the torque and the tooth width on the abrasion loss is obtained, and meanwhile the significance of the influence of the three factors is analyzed through an orthogonal experiment method. Compared with the prior art, the method has the advantages that the problem that the calculation of the contact pressure is greatly influenced by the grid units is researched and solved, so that the obtained contact pressure value is more accurate, and the tooth surface wear is reduced according to the rule and significance analysis of the influence of various factors.

The invention discloses a milling material surface fretting wear prediction method, and relates to the technical field of fretting wear. Comprising the following steps: acquiring a fretting wear sample on the surface of an unprocessed material and a fretting wear sample on the surface of a milled material; based on nonlinear fitting and the fretting wear sample of the surface of the unprocessed material, establishing a function relationship between the friction coefficient and the wear coefficient of the surface of the unprocessed material and the change of the fretting parameter; establishing a finite element model to obtain a plurality of groups of simulated fretting wear samples; the simulated fretting wear sample is substituted into a BPNN neural network model for training, after training is finished, based on a transfer learning method, the fretting wear sample on the surface of the unprocessed material and the fretting wear sample on the surface of the milled material are sequentially utilized for fine tuning, and a model BPNN-TLM is obtained; and on the basis of the model BPNN-TLM, the fretting wear can be predicted. The method is relatively low in cost and high in prediction accuracy.

The invention provides a double-speed electric actuating mechanism control system, which relates to the field of electric actuating mechanisms, and comprises a control unit, and the control unit comprises an environment variable conversion module for converting temperature and pressure parameters into an effective viscosity coefficient and a sealing loss factor; the composite wear detection unit calculates a valve wear coefficient in real time; the PID parameter setting module adaptively sets PID control parameters in real time according to the parameters through a feed-forward neural network, and physical constraints and oscillation penalty terms are added; the safety switching module monitors the model output confidence coefficient, the environment variable abrupt change rate and the prediction residual error in real time, and automatically switches to safety parameters when abnormity occurs; the double-speed execution module dynamically adjusts a high-speed continuous driving mode and a low-speed pulse driving mode according to the valve position error; the response speed, stability and control precision of valve control are remarkably improved, and the method is suitable for precise flow control under complex and variable working conditions.

The invention relates to the technical field of electrical variable measurement, in particular to a relay fault detection method. The method comprises the following steps: acquiring a normalized parameter sequence of each historical parameter through different sensors; dividing the contact resistance sequence into a plurality of sections, and obtaining a change coefficient of the contact resistance according to a fitting straight line of the plurality of sections; acquiring the slope and trend of the over-travel time sequence, acquiring a differential sequence after left and right splitting of the residual sequence, and acquiring the wear coefficient of the contact point according to the proportion of positive and negative numbers of the differential sequence, the slope of the over-travel time sequence and the variance and variation trend quantity of the initial voltage sequence; range adjustment is conducted on the wear coefficient and the change coefficient, and the threshold value interval is adjusted according to the adjusted wear coefficient and change coefficient to obtain the adjusted threshold value interval; and comparing the contact resistance with the upper and lower limits of the adjusted threshold interval to complete fault detection of the relay. According to the invention, the accuracy of relay fault detection is improved, and the effect and performance of relay fault detection are ensured.

The invention provides a method and a device for measuring a wear coefficient of a roller, electronic equipment and a storage medium, and relates to the technical field of rail transit. A to-be-tested roller and a worn roller are driven to slide relatively; determining the sliding distance of the to-be-tested roller based on the relative sliding rate of the to-be-tested roller relative to the worn roller, the radius of the to-be-tested roller, the number of rotation turns of the to-be-tested roller and the rotation speed of the to-be-tested roller; obtaining the loss weight of the roller to be tested in the wear experiment; and acquiring the vertical force on the contact surface of the worn roller and the to-be-tested roller in the wear experiment and the hardness of the to-be-tested roller so as to acquire the wear coefficient of the to-be-tested roller. According to the invention, the actual wear environment of the roller to be tested on the track is simulated, and the measurement accuracy and authenticity of the wear coefficient of the roller of the track are improved. According to the invention, the actual sliding distance of the to-be-tested roller on the track is accurately calculated, and the measurement accuracy and authenticity of the wear coefficient of the roller of the track are improved.

The present invention provides a method and system for predicting vibration of hole processing in ceramic / FRP laminated composite components, which relates to the field of mechanical processing and material science and technology. The present invention generates a dynamic coefficient by calculating dynamic parameters such as low-frequency axial vibration frequency and amplitude change, obtains processing parameters such as material removal rate, chip removal efficiency, drilling force and drilling temperature, generates a wear coefficient for evaluating drill wear, and constructs a comprehensive mathematical model based on the dynamic parameters and processing parameters, analyzes the relationship between process effect and processing conditions, uses the dynamic coefficient and wear coefficient in the comprehensive mathematical model to calculate and generate an evaluation index, sets a vibration threshold, compares it with the evaluation index, and determines whether the processing parameters need to be adjusted. The present invention achieves the purpose of optimizing processing parameters, improving production efficiency and processing quality, and preventing mechanical failures by calculating dynamic and wear parameters, constructing a comprehensive mathematical model, and setting a vibration threshold for comparison.

The application discloses a kind of CNC machine tool tool wear monitoring method and system based on acoustic vibration sensing technology, which comprises: obtaining tool number, processing state from machine tool;Cutting vibration signals in the machining process of machine tool are collected by acoustic vibration sensor;The cutting vibration signals are preprocessed, time domain characteristic indexes and frequency domain characteristic indexes are extracted, and a comprehensive wear coefficient is calculated;According to the interval where the comprehensive wear coefficient is located, the state of the tool is judged;If the tool reaches the failure level, a prompt signal is sent out.The method is suitable for detecting common tool failure states and can be used in machine tools with different tool tooth numbers, different speeds and different machining processes.These indicators can be effectively used to evaluate tool wear in actual manufacturing processes, and play a crucial role in improving production capacity and promoting high-quality production.

The application discloses an intelligent internet-of-things control system and method for plate home, and relates to the technical field of intelligentization, comprising: establishing a repair record of a plate in the intelligent home, extracting a plurality of target records from the repair record; obtaining a repair area of the plate of the target record, analyzing a plurality of corresponding internal defects in the repair area, and obtaining a wear degree corresponding to the target record; intercepting a historical monitoring video of the repair area, obtaining a wear coefficient of the target record, and establishing a scatter plot of the wear degree with the wear coefficient; obtaining a monitoring video of a to-be-detected plate from the last repair to the target time, and judging the timing of a repair prompt for the to-be-detected plate. The application obtains historical repair records, analyzes the living environment and user daily use habits of the intelligent home, reasonably judges the timing of a repair prompt for the to-be-detected plate, and avoids resource waste or safety hazard problems caused by early or late prompts.

The application discloses a kind of based on digital twinning waste incineration grate wear prediction and jam early warning method, belong to solid waste treatment and industrial automation monitoring technical field.The method includes: the displacement, velocity, contact force and acceleration data of grate mechanism are collected in real time by sensor group;Establish the three-dimensional geometric model of grate mechanism and define kinematic pair constraint relationship, material attribute and contact parameter, construct multi-body dynamics digital twinning model, real-time data are mapped to the model to realize virtual and real synchronous;The time-varying contact force and sliding speed signal output by digital twinning model are acquired, and the wear rate is dynamically calculated based on the modified Archard wear model and the remaining useful life is predicted, and when the prediction deviation exceeds the threshold, the dynamic wear coefficient is adaptively corrected;Real-time monitoring of grate motion parameters and comparison with normal working condition benchmark value, according to stroke deviation, speed fluctuation, acceleration peak value, trigger jam early warning signal gradually;The wear amount and remaining life of each grate piece are summarized, and a health assessment report and differentiated repair recommendations are generated.The application time-varying coupling of digital twinning and wear prediction is realized, the wear rate is calculated dynamically step by step, and three-level grading early warning is realized, which can improve the wear prediction accuracy of waste incineration grate and the early warning ability of jam failure.

A temperature monitoring system for a stator. The temperature monitoring system comprises: a plurality of monitoring areas (1-X), which correspond to different structures of a stator; a plurality of optical-fiber temperature measurement points (11-1A, 21-2B, X1-XC), which are distributed within the plurality of monitoring areas; and N demodulators (i1-iN), wherein N is an integer greater than or equal to two, and each demodulator is connected to at least one optical-fiber temperature measurement point within each monitoring area. Further disclosed is a temperature measurement and calculation method for a stator. The temperature measurement and calculation method comprises: determining a first correlation model between a monitored temperature of a faulty measurement point and operating conditions, and then determining a roughly-calculated temperature value of the faulty measurement point on the basis of an operating condition at the current moment; determining a second correlation model between a monitored temperature of a neighboring measurement point and the operating conditions; then determining a roughly-calculated temperature value of the neighboring measurement point; determining a wear coefficient between the roughly-calculated temperature value and an actual temperature value of the neighboring measurement point; and on the basis of the wear coefficient, determining a measured and calculated temperature value of the faulty measurement point at the current moment. The stability and reliability of the temperature monitoring system are improved.

The present invention discloses a method, device, equipment and storage medium for correcting the wall thickness anti-wear coefficient of a pipe. The method comprises: obtaining the current characteristic parameters of the heating surface pipe in the current cycle, and the wall thickness anti-wear coefficient determined in the historical cycle of the current cycle and the wall thickness wear value in the historical cycle; determining the wall thickness wear value of the heating surface pipe in the current cycle according to the current characteristic parameters and the wall thickness anti-wear coefficient in the historical cycle; correcting the wall thickness anti-wear coefficient in the historical cycle according to the wall thickness wear value in the current cycle and the wall thickness wear value in the historical cycle to obtain the wall thickness anti-wear coefficient in the current cycle. The embodiment of the present invention improves the accuracy of the determination result of the wall thickness anti-wear coefficient of the pipe.

The invention relates to the technical field of USB flash disks, in particular to a USB flash disk hot plug protection self-adaptive current regulation and control system. The detection module is used for detecting current and voltage of the USB flash disk in a running process in real time; the storage unit is used for storing historical use data of the USB flash disk; the analysis unit is used for comparing the slope with a slope threshold value when the USB flash disk is just accessed, and correcting the maximum current according to the wear coefficient in response to the situation that the slope is smaller than the slope threshold value; calculating the overall resistance change rate, comparing the overall resistance change rate with a change rate threshold value, and determining the maximum value of the reverse current according to the overall resistance change rate, the maximum current capable of being borne by the USB flash disk and the electric charge quantity of the USB flash disk capacitor in response to the situation that the overall resistance change rate is greater than the change rate threshold value. The wear coefficient is calculated according to the historical connection times, the contact resistance and the slope, and the allowable maximum working current is dynamically adjusted, so that oxidation of the USB flash disk interface is delayed, and the service life of the USB flash disk is prolonged.

The present invention relates to the technical field of pinch roll control, and particularly to a control method for reducing the roll grinding amount of the pinch roll in front of the high-speed wire mill, including calculating the speed difference according to the average line speed of the rolling mill and the line speed after the lower roll of the pinch roll is worn; calculating the relative wear coefficient according to the wear amount and the theoretical wear coefficient; calculating the wear estimation coefficient according to the relative wear coefficient and the theoretical life of the new roll; calculating the wear estimation time according to the wear estimation coefficient and the relative wear coefficient; obtaining the estimated number of billets with wear according to the wear estimation time and the daily production number of billets; adjusting the roll diameter according to half of the first estimated number of billets with wear, and obtaining the new roll speed of the pinch roll according to the adjusted roll diameter. The present invention solves the problem of excessive wear of the pinch roll before rough rolling.

The present invention provides a fault warning method, device, electronic equipment and storage medium for a gypsum cyclone, which belongs to the field of fault warning. The gypsum cyclone comprises M cyclones and N sand settling nozzles. The method comprises: judging whether a cyclone blockage fault occurs in the gypsum cyclone according to the difference between the current pressure value of the gypsum cyclone and the standard pressure value under the same working condition; if so, locating the position of the cyclone with the blockage fault among the M cyclones; if not, respectively calculating the wear coefficients corresponding to the current N sand settling nozzles, judging whether the corresponding sand settling nozzles have a sand settling nozzle wear fault according to the wear coefficients; calculating the corresponding sand settling nozzle compensation coefficient according to the wear coefficient of each sand settling nozzle, and using the sand settling nozzle compensation coefficient to compensate the corresponding cyclone, thereby achieving real-time fault warning and quickly determining the fault position.

The invention relates to the technical field of electrical performance fault detection, in particular to a power transmission line fault prediction system and method. The method comprises the following steps: acquiring along-line meteorological monitoring data of a power transmission line hardware fitting operation area, and collecting hardware fitting vibration displacement data; shooting a fitting surface image of a power transmission line operation area through an unmanned aerial vehicle, identifying the size of a fitting wear area, and determining the fitting wear degree; the meteorological action intensity of the hardware fitting is determined according to the meteorological monitoring data along the line, and the wear coefficient of the hardware fitting is set according to the meteorological action intensity and the wear degree of the hardware fitting. According to the method, the wear area of the power transmission line fitting is identified, and the wear coefficient is adapted by combining the meteorological factor data, so that the wear loss of the power transmission line fitting is calculated, and the accuracy of power transmission line fault prediction is improved.

The invention discloses a material surface fretting wear prediction method and system based on transfer learning, and the method comprises the steps: constructing a fretting wear simulation model, and achieving the precise simulation of the motion form of a workpiece; meanwhile, aiming at a wear coefficient in the fretting wear simulation model, an attention mechanism is used for solving an influence weight of multi-source data on the wear coefficient to serve as an initial value, and the prediction of the fretting wear performance under a new working condition is quickly adapted by setting the weight and an offset, so that the high robustness of the model is realized; besides, a fretting wear simulation model is used for physical simulation to obtain a data set, a simulation fretting wear prediction model is trained in advance, and after general knowledge of fretting wear behaviors is learned by the model, a hidden layer in the model is divided into a freezing layer and a self-adaptive fine tuning layer according to the universality of wear knowledge, so that the fretting wear behavior is predicted. And a real data set is used to carry out fine tuning operation on the adaptive fine tuning layer, so that the model is closer to a real prediction result.

The application discloses a compatible type wave division equipment optical module plugging and wearing analysis method and system, and relates to the technical field of optical communication equipment operation and maintenance. The method comprises the following steps: performing optical module plugging operation by an automatic plugging device and synchronously collecting multi-dimensional force feedback data and interface positioning information; converting the force feedback data into multi-direction wearing coefficient distribution by using a pre-trained wearing coefficient mapping model; based on the wearing coefficient distribution data, calculating the total wearing distribution and the total wearing amount of each interface by path segmentation integration and direction accumulation; according to a preset wearing discrimination threshold, combining the dimension total wearing amount and the most unfavorable eccentric wearing amount to perform wearing discrimination, and generating early warning information containing the wearing category and the position; when the early warning is eccentric wearing, driving the automatic device to perform targeted correction. The application realizes quantitative monitoring, accurate prediction and active maintenance of optical module interface wearing, and significantly improves the intelligent level of operation and maintenance and the reliability of equipment.

The present application relates to the technical field of data processing, in particular to a kind of tire carcass life prediction method and system based on intelligent tire technology, the method comprises: obtaining tire vibration data and other multiple dimensions under tire wear related data;Based on tire vibration data, data segmentation is carried out to the distance traveled;For each segmented mileage, the wear coefficient of the segmented mileage is calculated;Based on the wear coefficient of each segmented mileage, a prediction model is constructed, and the remaining life of the tire carcass is predicted based on the prediction model.The present application embeds high-precision sensors in the tire, collects vibration and temperature data in real time, quantifies the influence of each different road section on tire wear through the vibration and temperature changes of the vehicle on different road sections, thereby achieving accurate prediction of tire wear;Solve the problem that the influence of the road conditions of different road sections on tire wear is not considered in the prior art, which leads to inaccurate prediction results.

The invention provides a method and a system for determining a wear material on the surface of a drawing die and a friction test device. The method comprises the steps that first data of a first sample rod during stamping with a first plate under a first preset working condition and a second preset working condition are obtained through finite element simulation; respectively acquiring first abrasion loss of the first sample rod relative to friction of the first plate under preset constraints under a first preset working condition and a second preset working condition through a friction test device; based on the first abrasion loss, obtaining an abrasion coefficient corresponding to the friction surface of the first sample rod through a friction pair algorithm model; reverse derivation is carried out through a friction pair algorithm model, and the target abrasion loss of the first sample rods made of different materials at the target temperature is obtained; and determining the maintenance material of the friction surface of the first sample rod based on the comparison result of the target abrasion loss of the first sample rod made of different materials at the target temperature. Maintenance materials used for maintaining the abraded portion of the surface of the drawing die can be rapidly and accurately matched.

This invention discloses a method, apparatus, storage medium, and computer equipment for predicting heat transfer tube wear. The method includes: acquiring heat transfer tube attribute information, support attribute information of the supporting component, flow field attribute information of the internal and external flow fields, constraint boundary information, and working environment information of the heat transfer tube to be predicted; constructing a nonlinear dynamic analysis nominal model of the target heat transfer tube structure based on the structural attribute information, flow field attribute information, constraint boundary information, and working environment information; determining the nonlinear contact state parameters and wear coefficient between the heat transfer tube to be predicted and the supporting component, and determining the turbulent excitation force time history of the heat transfer tube to be predicted; applying the nonlinear contact state parameters and turbulent excitation force time history to the nonlinear dynamic analysis nominal model to perform numerical simulation of dynamic analysis, and determining the interaction information between the heat transfer tube to be predicted and the supporting component based on the simulation results; and determining the degree of wear of the heat transfer tube to be predicted based on the interaction information and the wear coefficient.

The invention discloses an efficient milling and precision control method for a cambered surface contour workpiece. The method comprises the following steps: analyzing and calculating a relational expression of a machining step pitch according to a surface wave crest and cutting relation; determining a machining tool and calculating a machining step pitch by combining machining experience on the basis of the area size, the precision requirement and the material characteristic of the cambered surface contour of the machined surface; based on the parallel tool path, planning a motion track of a machining tool; according to the machining tool path planning and each cambered surface contour point location algorithm, a machining macro program with a parameterized adjustment function is compiled; according to the compiled machining macro program, trial cutting is conducted on the contour surface of the cambered surface to be machined; collecting the machining service life and wear coefficient machining data of the machining cutter in the trial cutting process, and proposing a linear correction scheme for a machining error curve; a sectional type linear compensation function is implanted in a machining macro program; the adjusted machining macro program is implanted into the three-axis numerical control milling equipment, and complete milling machining of the whole cambered surface contour of the workpiece is carried out.

The invention relates to the technical field of water pump performance testing, and particularly discloses an intelligent testing system and method for water pump performance, and the method comprises the following steps: S1, setting a monitoring point at a pump shell, collecting a vibration signal under the condition of sand-containing water quality, and carrying out the preprocessing to extract a high-frequency conduction vibration signal; s2, collecting sample data including conduction vibration signals and wear intensity in an operation period, obtaining an amplitude distribution curve according to the sample data, and calculating an amplitude wear coefficient; s3, a wear strength threshold value is set, and the wear rate of the water pump in the current sand-containing water quality environment is calculated in combination with the amplitude distribution curve and the amplitude wear coefficient; according to the invention, the accuracy of wear monitoring is improved, the conversion from passive maintenance to active prediction is realized, the operation reliability of the water pump system is obviously improved, and the service life of the water pump system is obviously prolonged.