41 results about "Life time" patented technology

The invention relates to a dynamic adjust gyroscope life forecasting method based on gray model. By data collection of vibration effective value, random drift and environmental temperature parameter which are preprocessed using radial neural networks, influence of environmental temperature on vibration effective value and random drift is eliminated and random drift and effective value just related to time are obtained by subtracting drift constant value term, then trend term of vibration effective value and random drift are extracted by using wavelet transformation and gray model are built separately for their trend term. The smaller data in two values of life predicted of dynamic adjust gyroscope unless two predicted values exceeding performance parameter limitation when dynamic adjust gyroscope is considered losing effect. The invention uses performance parameter of life probative period of product to predict its life, showing discipline of performance parameter and life of dynamic adjust gyroscope. It is easy and convenient economical and reliable.

The invention relates to the technical field of battery life prediction, and discloses a battery pack life prediction method and device and a storage medium, and the method comprises the steps: obtaining a standardized monitoring data matrix; generating a reconstructed electrochemical impedance spectroscopy data matrix according to the standardized monitoring data matrix and a preset impedance spectroscopy reconstruction algorithm; extracting a plurality of health factors according to a nonlinear manifold learning method; obtaining a predicted life end time point of the battery pack according to the target differential equation model; wherein the target differential equation model is obtained by performing constraint condition fusion, scale expansion, constraint condition intensity adjustment and control of balance of a known area and an unknown area on the initial neural differential equation model; the initial neural differential equation is used for describing the evolution dynamics of the health factors along with time. According to the method, high-precision, interpretable and high-adaptability battery life prediction is realized, and the method has important application value in the fields of electric automobiles, energy storage systems and electronic equipment.

The invention relates to the technical field of charging piles, and provides a service life prediction method and a service life prediction system for a direct current charging pile SPD, and the method comprises the steps: monitoring the working voltage of the direct current charging pile SPD, and generating a working voltage curve; the surge current and the duration time are calculated according to the working voltage curve; determining a corresponding maximum surge current derating curve according to the surge current and the duration; calculating the cumulative damage ratio of the SPD according to the maximum surge current derating curve; and predicting the life times of the SPD according to the cumulative damage ratio. The surge current is speculated by monitoring the working voltage of the SPD, the cumulative damage ratio of the SPD is calculated according to the speculated surge current, the service life times of the SPD are predicted according to the cumulative damage ratio, real-time online monitoring of the whole life cycle of the SPD in the direct-current charging pile is achieved, the service life state of the SPD can be accurately controlled, and the initiative and timeliness of SPD operation and maintenance management are remarkably improved.

To increase life times of non-volatile memory devices, the bad block information for a device includes not just whether a device is considered good or bad, but, for bad blocks data on the category of the block's failure. When the number of bad blocks exceeds a threshold level, blocks formerly marked bad can, based on their failure category, have their status updated to good for subsequent usage. This information can also be used during factory testing to update the status of blocks initially marked as bad based on failure category.

An organic electric element according to an embodiment of the present disclosure includes an anode, a cathode, and an organic material layer formed between the anode and the cathode. The organic material layer includes a compound of Formula 1. The driving voltage of the organic electric element can be lowered, and the luminous efficiency and life time of the organic electric element can be improved.

The invention relates to the technical field of turbine blade test methods, and particularly discloses a turbocharger turbine durability test method, which comprises the following steps: acquiring a target position area according to a distribution cloud chart of a pressure field and a speed field of a historical turbine blade; fatigue testing is conducted on the target position area in different cyclic load working condition modes, and the turbine blade state of the corresponding mode is obtained; determining the blade temperature and the supercharger rotating speed during turbine resonance failure, the blade temperature and the supercharger rotating speed during turbine blade strain, the blade temperature and the supercharger rotating speed during turbine blade damage, and the blade temperature and the supercharger rotating speed during turbine blade breakage based on a fatigue test to determine limit values of different turbine blade states; and coupling different turbine blade states and limiting values thereof to calculate the total fatigue life time of the turbine blade, inputting the total life time into the life prediction model, outputting a safety coefficient, and verifying the safety coefficient so as to improve the durability test of the turbine blade in the cyclic load working condition mode.

An organic electric element according to an embodiment of the present disclosure includes a first electrode, a second electrode, and an organic material layer formed between the first electrode and the second electrode. The organic material layer includes compounds represented by Formula 1 and Formula 2 of the present invention, thereby the driving voltage the organic electric element can be lowered, and the luminous efficiency and the life time of the organic electric element can be improved.

The present invention is focused on extending the lifespan and the healthy period of life (healthspan), delaying the development of chronic diseases and dysfunctions, which is a growing need of aging societies. Among the strategies to promote and extend healthspan, nutrition and food ingredients play a central role. The present invention is related to standardized delphinidin-rich maqui berry composition comprising different amounts and combination of delphinidins, which represent a potent class of antioxidant anthocyanins as agent for reducing progressive loss of skeletal muscle, increasing muscle mass and anti-aging agent or geroprotective agent, and thereby, enhancing the healthspan and preserving locomotive functions for longer periods of life. Such effect was measured as climbing ability during life time in an animal model (Drosophila melanogaster), Experimental assays demonstrated that delphinidin-rich standardized maqui berry extracts upregulate the expression of antioxidant enzymes and mitochondrial homeostasis-related proteins, which determine contractile muscle function. Such delphinidin-rich standardized maqui berry composition is useful as antioxidant supplement for adults and elderly.

The invention discloses an intelligent ball screw life prediction method based on a self-attention mechanism. The intelligent ball screw life prediction method comprises the following steps: step 1, constructing vibration feature capture models of different time scales; 2, constructing a health index prediction model; 3, constructing a model training sample library; 4, performing model training; step 5, acquiring actual operation data of the ball screw; step 6, predicting health indexes; and 7, life prediction: according to the health index and the degradation point of the ball screw to be subjected to life prediction, calculating to obtain the final life time of the ball screw to be subjected to life prediction. According to the invention, by integrating various sensors, detecting key parameters such as temperature, vibration and noise of the ball screw in real time, and combining vibration feature capture models and health index prediction models of different time scales, service life prediction of the ball screw is realized, so that the operation reliability and maintenance efficiency of the ball screw can be effectively improved, and the service life of the ball screw is prolonged. And the downtime is reduced.

The present invention provides an electromigration evaluation method, device and electronic device, and relates to the field of integrated circuit technology. The method includes: obtaining the operating temperature and operating time corresponding to the integrated circuit sample in multiple application scenarios, and obtaining the target life time according to the sum of multiple operating times. Determine the electromigration temperature function of the integrated circuit sample. Use the electromigration temperature function to normalize the corresponding operating time at each operating temperature to the reference temperature to obtain a first equivalent time. Determine the first equivalent temperature based on the electromigration temperature function, the target life time and multiple first equivalent times. Perform electromigration simulation analysis on the integrated circuit sample at the first equivalent temperature to obtain simulation results, and evaluate whether there is an electromigration risk for the interconnection line in the integrated circuit sample based on the simulation results. The first equivalent temperature in the present invention is closer to the actual application temperature of the integrated circuit sample, which greatly improves the accuracy of the electromigration analysis.

To provide a method for predicting life from information on a softened structure in molten metal in a welded zone of chrome steel.SOLUTION: A method for evaluating a life of a welded zone includes the steps of: providing a first welding part having a first softened structure; alternately repeating execution and halfway stopping of an acceleration test on the first welded zone multiple times, applying an ultrasonic wave to the first welded zone and measuring an echo value that is generated before starting the acceleration test and at each halfway stopping, and calculating an amount of increase A in the echo value; analyzing a correlation between the amount of increase A in the echo value and a life consumption rate at each halfway stopping using a ratio of a test time to a halfway stopping time of the acceleration test to a test time to an occurrence of a microscopic fracture in the first welded zone as the life consumption rate; applying an ultrasonic wave to a second welded zone having a second softened structure and measuring an echo value that occurs, and calculating an amount of increase B from the echo value measured in an early stage of the life of the second welded zone; and calculating a consumption rate of a life time corresponding to the amount of increase B from the correlation.SELECTED DRAWING: Figure 3

The utility model relates to a load life testing machine for a rod end knuckle bearing, which comprises the rod end knuckle bearing, a hydraulic jack, a numerical control system, an operation screen, a servo motor, a coupler, a flat key pin, a linear guide rail, a sliding block, a guide rail limiter, a screw rod, a nut, a screw rod supporting seat, a nut seat, a heightening block, a flat plate, a circular shaft and a bolt. The number is determined according to specific conditions; the experimental equipment is used for testing life times of a rod end knuckle bearing under rated load, a numerical control system is used for setting a test program, a servo motor is used for providing power, transmission and linear reciprocating motion are completed through a coupler and a lead screw, a flat plate and a circular shaft which are fixed on a guide rail and a sliding block are driven, and the lead screw and a nut are used for driving. Wherein the circular shaft penetrates into a central hole of an inner ring of the rod end knuckle bearing, so that the inner ring does deflection motion at a certain angle relative to the rod end, and meanwhile, a hydraulic jack and a thrust ball bearing are arranged below the rod end and provide loading force from bottom to top.

The application provides a kind of multi-site prediction filter failure time indication system and method, belong to filter service life monitoring field.Solve the problems of poor reliability of existing prediction device, low prediction accuracy in complex environment and adverse effects on filter filtering performance in prediction process.The prediction device mentioned in the application can accurately predict the filter failure time under complex conditions, providing a margin time for replacing a new filter.The prediction device has a simple structure and high reliability, and is suitable for use in various occasions.It operates independently without affecting the filtering capacity and structure of the filter during operation.Meanwhile, the prediction device can automatically adjust the prediction node according to the filter specifications for accurate prediction.

The invention discloses a laser service life prediction method, a laser service life prediction device and electronic equipment. The life prediction method comprises the following steps: controlling a to-be-tested object to output laser under a test condition to obtain a test failure time length of the to-be-tested object, a life acceleration model with determined parameters and a corresponding first failure life length; controlling the to-be-tested object to output laser under a normal working condition to obtain a second failure life length of the to-be-tested object; and finally, according to the test failure time length, the first failure life time length and the second failure life time length, determining a predicted failure time length of the to-be-tested object. According to the method, the failure data is obtained by simulating the continuous light emitting working state of the to-be-tested object in the actual application, the aging behavior of the to-be-tested object in the actual application can be truly reflected, and the accuracy is high.

The invention discloses a gadolinium-loaded metal hydride fuel short-life micro-reactor core design method and a reactor core, the reactor core is loaded with gadolinium-loaded metal hydride fuel with high enrichment degree and low uranium mass percent, and the existence form of gadolinium in the reactor core is set, and the uranium mass percent is matched with the gadolinium content; the reactor core adopts a rotating strand matched with a gadolinium burnable poison to control the residual reactivity of the reactor core, the rotating strand performs reactor core power adjustment, and the gadolinium adjusts the reactor core reactivity fluctuation in the life period. The reactor core power is 20 MWt, the reactor core life period is 50 EFPD, 2407 fuel rods are arranged in the reactor core, and the fuel rods comprise 847 gadolinium-loaded metal hydride fuel rods with low uranium mass fraction and 1560 gadolinium-loaded metal hydride fuel rods with high uranium mass fraction. According to the present invention, the strong absorption characteristic and the high burn-up rate of the gadolinium burnable poison are utilized, the existence form and the content of the gadolinium in the reactor core are adjusted, and the rotating strand is matched with the gadolinium burnable poison to control the residual reactivity of the reactor core so as to achieve the minimum fluctuation design of the reactivity of the reactor core in the whole life period, and improve the performance of the reactor core.

The present application relates to the technical field of data line, and specifically relates to a data line with plug-in life prompting function, which comprises a connector body; the connector body is provided with a plug-in cavity and a display cavity; a display disc is rotationally arranged in the display cavity; a plurality of sector display areas are equiangularly arranged on the circumferential surface of the display disc; a driving cylinder is connected to the display disc; the driving cylinder is provided with a driving groove; a driving block is slidingly arranged in the display cavity; the driving block is elastically connected with a driving pin; an elastic slide plate is movably arranged in the display cavity; a trigger assembly is arranged between the other end of the elastic slide plate and the display cavity; a linkage assembly is arranged between the trigger assembly and the driving block. Through the arrangement of the plurality of sector display areas, the trigger assembly, the linkage assembly and the driving block, when the plug-in times of the data line reach the set threshold, the next sector display area is aligned with the display window under the cooperation of the trigger assembly, the linkage assembly and the driving block, so as to remind the user of the current plug-in life of the data line.

The utility model relates to the technical field of magnetic switches, in particular to a magnetic switch full-load life time testing device, which comprises a machine body, a plurality of magnetic switches are circumferentially arranged on the machine body, a power supply is arranged on the machine body, the power supply is electrically connected with the plurality of magnetic switches, the magnetic switches are electrically connected with a load module, and the load module is electrically connected with the machine body. A plurality of magnetic switches are arranged on the machine body, a rotating rod is rotatably arranged on the machine body, the rotating rod is located among the plurality of magnetic switches, a magnet is arranged on the rotating rod, the magnet is used for turning on and turning off the plurality of magnetic switches, a driving part used for driving the rotating rod to rotate is arranged on the machine body, and when the rotating rod rotates, the magnet on the rotating rod is close to or far away from the magnetic switches. The testing device has the effect of high testing efficiency.

The present application relates to the field of power cable engineering, and discloses a low-cost repair decision method for a cable, which comprises the following steps: on-line monitoring the insulation state of the cable by a spread spectrum time domain reflection method, recording the end-of-life time of the cable, collecting the end-of-life time of a plurality of different cables; establishing a cable reliability model according to the Weibull distribution law of the end-of-life time of the plurality of different cables; establishing an average cost rate model according to a preventive repair probability, a failure probability, a preventive repair cost and a failure repair cost; introducing a chaos factor into a mathematical model of a chimpanzee optimization algorithm, and optimizing and solving a target function by a chaotic chimpanzee optimization algorithm according to the preventive repair cost and the failure repair cost to obtain a minimum average cost rate, and outputting a best maintenance period and a repair threshold of the cable. The present application can output the best maintenance period and the repair threshold of the cable under the condition of ensuring the reliability of the cable, and realize a low-cost repair decision.

To provide a filament lamp with an excellent life time by suppressing a short circuit of a filament even in the case where the filament is extended to a pipe shaft direction.SOLUTION: A filament lamp comprises: a light emission pipe in which a power supply part is formed to a first end part side; a filament that includes a plurality of coil parts and a coupling part, and to which each coil part and the coupling part between a pair of power supply parts are alternately connected; a support member that is fixed to a second end part side of the light emission pipe; a fixing part that is supported by the support member; and a supporter that engages a folding part with the coupling part of the filament in a state of being supported by the support member, where a first part connecting the folding part, a one end part of the folding part, and the fixing part and a second part that is extended from the other end part of the folding part. In the first and second parts, a shape that is separated from the pipe shaft of the light emission pipe as far from the filament or a separation distance from a pipe shaft has a constant shape.SELECTED DRAWING: Figure 1

The entire lifecycle of conventional batteries including lithium-ion batteries—from mining, through manufacturing, to usage—presents significant environmental challenges, including habitat destruction, water and air pollution, resource depletion, and contributions to global warming. This invention disclosure employs a self-charging battery technique based on parametric amplification, a principle first demonstrated by L. Mandelstam and N. Papalexi in 1934, and conceptually supported by Ilya Prigogine's Nobel Prize-winning work in 1977. The parametric amplification process allows the battery device being charged continuously during its life time, and significantly reduces or avoids the environmental pollutions of conventional batteries. Moreover, the features of the self-charging battery devices include long battery life, no off-duty charging time, and safer operation.

To increase life times of non-volatile memory devices, the bad block information for a device includes not just whether a device is considered good or bad, but, for bad blocks data on the category of the block's failure. When the number of bad blocks exceeds a threshold level, blocks formerly marked bad can, based on their failure category, have their status updated to good for subsequent usage. This information can also be used during factory testing to update the status of blocks initially marked as bad based on failure category.

The invention discloses a repetitive peak isolation voltage formulating method and system for an optical isolation device, and the method comprises the steps: carrying out the statistics and distribution parameter estimation of the end-of-life time data of the optical isolation device through Weibull distribution, and obtaining a fitting probability graph; based on the fitting probability graph, obtaining failure time of specified failure rates under different test voltages; obtaining a life time prediction map of the optoisolator under different specific voltages based on the failure time of the specified failure rate under different test voltages; and based on the life time prediction map of the optical isolator under different specific voltages, analyzing the life of the device under the specific repeated peak isolation voltage. The invention provides a data analysis technology to obtain an accurate VIORM value and predicted life, so that life prediction of the optical isolator in different scenes is more accurate.

The application discloses a life evaluation method of a dynamic operation cellular network, a computer device and a medium, and the method comprises the following steps: S1, setting an initial value; S2, obtaining a first life distribution parameter and a second life distribution parameter of each base station; S3, obtaining a jth fault interval time τ i,j of an ith base station; S4, obtaining the working states of all the base stations at different time points t i ; S5, obtaining the ratio δ T of the network coverage at each time point to the initial coverage based on the working states of all the base stations at different time points; S6, comparing the ratio δ T with a specified value P L , and judging whether the life time is reached; if δ T ≤ P L , a life value T is obtained, k=k+1, and the step S7 is entered; if δ T >P L , j=j+1, and the step S3 is entered; S7, comparing the cycle number k of the life value T with a cycle number n, and judging: if k

The invention discloses an aging life prediction method and system for a SiC MOSFET, and relates to the technical field of silicon carbide field effect transistor aging life prediction, and the method comprises the steps: obtaining an initial life time data set corresponding to each experiment point combination; utilizing a response surface analysis method to construct a response surface model according to the initial life time data set; performing residual analysis on the response surface model to obtain qualified life time data with a residual analysis result meeting the model suitability and the assumed condition conformity; based on the coupling effect between the aging influence factors, combining with the response surface model to construct an aging life prediction initial model; training the aging life prediction initial model by using the qualified life time data to obtain an aging life prediction model; and outputting an aging life prediction result of the SiC MOSFET according to the real-time aging influence factor data and the aging life prediction model. The beneficial effects of the invention are that the experiment data demand is reduced and the aging life prediction accuracy is improved synchronously.

A control gate voltage generating circuit for a non-volatile memory is provided. After the non-volatile memory leaves the factory, the control gate voltage is appropriately adjusted by the control gate voltage generating circuit according to the characteristics changes of the memory cells. When the read action is performed, the control gate voltage generating circuit provides the adjusted control gate voltage to the control gate line of the array structure. The magnitude of the reference current can be maintained in the range between the read current in the erase state and the read current in the program state. Consequently, the storage state of the selected memory cell can be accurately determined, and the life time of the non-volatile memory will be extended.

The application provides a fatigue curve calibration method and a readable storage medium. The fatigue curve calibration method comprises the following steps: obtaining test data under a preset test condition, wherein the test data comprises voltage levels and life time lengths with a corresponding relationship; linearizing a preset life function expression; fitting the linearized preset life function expression based on the test data to obtain a first undetermined coefficient; and substituting the first undetermined coefficient into the preset life function expression to obtain an expected life curve. Based on the expected life curve, a designer can estimate the failure probability and expected service life of a specific component in an actual working condition, thereby solving the problem that the failure probability and / or expected service life of a specific component are unclear in the prior art.

A control gate voltage generating circuit for a non-volatile memory is provided. After the non-volatile memory leaves the factory, the control gate voltage is appropriately adjusted by the control gate voltage generating circuit according to the characteristics changes of the memory cells. When the read action is performed, the control gate voltage generating circuit provides the adjusted control gate voltage to the control gate line of the array structure. The magnitude of the reference current can be maintained in the range between the read current in the erase state and the read current in the program state. Consequently, the storage state of the selected memory cell can be accurately determined, and the life time of the non-volatile memory will be extended.

The UE determines, on the basis that uplink data about the logical channel is available for the transmission, an SR resource associated with a logical channel and can transmit an SR on the SR resource. Transmitting the SR on the SR resource can include transmitting information related to life time or a PDB of the uplink data.

The invention discloses a metallized film capacitor service life prediction system and method. The system comprises a model building module which is used for building a life prediction model according to the relation between the temperature rise of a capacitor shell and capacitance data; and the prediction output module is used for predicting the end-of-life state of the capacitor to be detected based on the life prediction model. When the system predicts the end-of-life time of the capacitor to be detected, the capacity attenuation condition of the capacitor can be quickly identified and analyzed based on the life prediction model by monitoring the temperature of the capacitor in real time, the detection efficiency is improved, and the detection period is shortened; and guarantees are provided for finding operation faults of the capacitor in real time and ensuring safe and reliable operation of the capacitor.

The present invention discloses a life prediction method based on bearing spectrum characteristics and improved particle filtering. The method includes: performing equally spaced sliding window processing on the full-life time series signal of the bearing, and using the amplitude spectrum obtained from the signal in each window to form a row vector; obtaining a two-dimensional matrix of correlation coefficients; obtaining an average correlation coefficient curve, establishing a normalized root mean square bearing health index, and finding the accurate starting fault point in the normalized root mean square bearing health index; constructing an exponential spatial state model and predicting the particle prior distribution at time k; improving the particle filtering algorithm to obtain an updated particle distribution; when there is no more observation input, estimating the subsequent bearing health index trend and obtaining an accurate remaining service life value. The present invention not only improves the accuracy of identifying the moment of early initial failure of the bearing, but also improves the accuracy of the remaining service life prediction of the bearing, and overcomes the adverse effects of local fluctuation observations on the prediction performance in the standard particle filtering algorithm.