78results about How to "Life Prediction" patented technology

The invention discloses a compilation method for a general standard test load spectrum of an aero-engine. The method comprises the following main steps: (1) standardizing a mission profile load parameter; (2) generating a mission profile load parameter sequence; (3) generating a load parameter standard test spectrum of a single mission profile of the aero-engine; and (4) compiling the general standard test load spectrum of the aero-engine by frequency mixing of flight missions. The test load spectrum of the aero-engine, compiled with the method, can serve as a main part life test load of the aero-engine; and based on an original aero-engine load spectrum compilation technology, load requirements of an aircraft in all periods and test conditions during actual flight are comprehensively considered. The test load spectrum of the aero-engine, compiled based on the general standard test load spectrum of the aero-engine, can not only really reflect the change of the load parameter of the aero-engine along with the flight time but also simplify a test load spectrum compilation process and improve the working efficiency.

The invention relates to a method for evaluating the service life of oil-paper insulation inside a high-voltage current transformer. The invention provides the effective numerical calculation method for evaluating the service life of the oil-paper insulation inside the high-voltage current transformer, and the method comprises the steps: carrying out the translation reduction through the oil-paperinsulation dielectric loss factor curves tested at different temperature values to obtain a temperature translation factor; obtaining a corresponding moisture content oil-immersed paper board activation energy according to the calculated temperature translation factor; repeatedly performing the calculation process of the oil-immersed paper board activation energy, and building the relation between the oil-immersed paper board activation energy and the moisture content; and accurately evaluating the aging state of the oil-paper insulation inside the high-voltage current transformer through combining a reaction kinetic model of cellulose aging in the oil-paper insulation. The method achieves the prediction of the service life of oil paper with different test temperatures and moisture contents.

To predict a correction rated life at high accuracy. A life predicting device executes step S1, step S2, step S4 for inputting specification information including a basic dynamic rated load C and basic static rated load C₀, step 5 for computing a dynamic equivalent load P based on the specification information. step S3 for setting a reliability factor a₁, step S7 and step S8 for determining a contact ellipse area S, step S9 for inputting a foreign substance purchasing diameter d_debris (“debris” means “foreign substance”), step 10 for determining a standardized foreign substance diameter (d_debris/√ S), step S11 for setting a life correction coefficient a_xyz based on the standardized foreign substance diameter, and step S6 and step S12 for calculating a correction rated life L_nm based on the reliability coefficient, the life correction coefficient, the basic dynamic rated load and the dynamic equivalent load and the like.

The invention relates to the technical field of oil exploration, in particular to a tubing string service life prediction method. The tubing string service life prediction method comprises the steps of calculating maximum stress of a new tubing string; calculating maximum stress of the tubing string at some time; calculating a tensile safety coefficient of the new tubing string; calculating a tensile safety coefficient of the tubing string at some time according to the calculated tensile safety coefficient of the new tubing string; and enabling fall time of the tensile safety coefficient of the tubing string to be tensile safety service life when the tensile safety coefficient of the tubing string at some time is equal to a preset safety coefficient threshold.

The invention discloses a solid state disk life prediction method, device and apparatus and a readable storage medium. According to the scheme, a medium abrasion index and a timestamp of a solid statedisk within the preset time range are obtained by utilizing physical characteristics that programming and erasing cycle index of the solid state disk is fixed. A prophet model is constructed based on the medium abrasion index and the timestamp so as to predict the service life of the solid state disk. The prophet model can detect the trend change, periodic change and holiday change of the wear degree of the solid state disk. Compared with a simple linear formula, scene adaptability is stronger, so that service life of the solid state disk can be accurately predicted, a user is assisted to know the service condition of the solid state disk, loss caused by damage of the solid state disk is avoided, and safety of data in the solid state disk is remarkably improved.

An engine life prediction apparatus produced at a low cost and having a high reliability is provided. A current detecting section (41) and a voltage detecting section (42) detect the value of a current and the value of a voltage which are outputted by an engine generator (1), respectively. An arithmetic section (5) determines a weight constant from the current value and the voltage value, assigns the weight to the operating time of an engine (11) by using the weight constant, and integrates the weighted operating time to calculate the integrated time. A judgment section (6) compares the integrated time with a reference time and, when judging that the integrated time exceeds the reference time, notifies it to a report section (8). The report section (8) having received the notification reports it to the outside. The current detecting section (41) and the voltage detecting section (42) can be configured by an electrical circuit. Thus, the engine life can be predicted at the low cost and with the high reliability.

The invention provides a method and a system for predicting the service life of a medium-low temperature SCR denitration catalyst, which belong to the field of atmospheric pollutant denitration management and aim to solve the problems that the conventional method cannot perform online prediction, has certain limitation and is not suitable for the medium-low temperature SCR denitration catalyst. The method comprises the following steps of: acquiring environmental data of the denitration system under the current working condition, performing abnormal elimination processing on the environmental data of the denitration system under the current working condition, obtaining catalyst characteristic parameters of the medium-low temperature SCR denitration catalyst and writing the catalyst characteristic parameters into a medium-low temperature SCR denitration catalyst activity influence database, calculating the catalyst activity of each catalyst layer, the flue gas acid dew point temperatureunder the current working condition and the flue gas NH4HSO4 dew point temperature under the current working condition on the basis of the environmental data and the catalyst characteristic parametersafter abnormal elimination processing, and predicting the catalyst life of each catalyst layer according to the calculation result and the medium-low temperature SCR denitration catalyst activity influence database, and transmitting the prediction result to a display system of an enterprise for display.

The invention provides a reciprocating fluid dynamic seal service life prediction method based on multivariate correlation degradation modeling, and belongs to the field of reciprocating seal reliability evaluation and service life prediction of motion machine parts. The method comprises the steps that 1, degradation amount data of friction force and leakage amount are collected; Step 2, accordingto the distribution function of the Frank Copula, establishing a joint distribution function of the friction force degradation increment and the leakage rate degradation increment; Step 3, establishing a reciprocating seal multivariate correlation degradation model; 4, establishing a log-likelihood function of the multivariate random correlation degradation process model, and obtaining an estimation result of a parameter sum through degradation data; and 5, calculating the reliability of the reciprocating sealing element by adopting a Monte Carlo method in combination with the multivariate related degradation model, and obtaining the service life of the reciprocating sealing element. The coupling relation between the two performance degradation indexes of the friction force and the leakage rate is comprehensively considered, the sealing element degradation process model is built based on the degradation data, the calculation process is simple and convenient, flexibility is high, and engineering practice is approached.

The invention relates to an ageing test device for PE pipes under fluctuating pressure. A pressure supply device provides gas load of a whole pipe, air pressure in the pipe is adjusted by combined action of a pressure sensor, an electric control valve and a central controller, a pressure injecting and relief process is repeated to form fatigue circulating load, a test pipe section is aged by an ageing device, by the device, research on existing single-factor ageing is changed, various environmental stresses are combined together, and therefore, a laboratory environment which simulates actual working conditions of an urban natural gas pipe is formed. The invention further relates to a lifetime prediction method for the PE pipes under fluctuating pressure. An aged pipe sample is taken out after a specific period, test on mechanical properties and physical and chemical properties is carried out to obtain related data, and change of ageing properties of optional environment temperatures and optional pipes is measured. Compared with an existing method, the lifetime prediction method has the advantages of simplicity, high efficiency and low cost.

The invention provides a device for detecting multiple steel wire ropes and application thereof. The device comprises a bracket main body, wherein a plurality of detection bases are installed inside the bracket main body, each steel wire rope to be detected correspondingly penetrates through the middle of one detection base, a pair of lifting mechanisms is installed on the bracket main body, and can ascend and descend along the steel wire rope to be detected, so that the movement detection of the whole device on the multiple steel wire ropes can be realized. The device is used for detecting the steel wire ropes through a metal magnetic memory detection method. The adjustable device can guarantee the same lifting heights, the multiple steel wire ropes can be detected at a time simultaneously, the reference performance between the detection results is strong, the abrasion of a sensor can be avoided, and meanwhile, the detection precision can be guaranteed. A three-dimensional magnetic memory detection sensor is installed on the bracket, and the multiple steel wire ropes are detected according to the metal magnetic memory detection principle, so that the detection of stress concentration in the early stage and the prediction of the service lives of the steel wire ropes can be realized.

The invention discloses a micro-electromechanical device life prediction method based on a single acceleration factor, and the method needs to consider the influence of temperature stress and cyclic stress on the life of an MEMS device in an accelerated life test in order to accurately predict the life of the MEMS device under the single acceleration factor. According to the accelerated life test, stress (such as temperature stress, cyclic stress and the like) higher than the normal level is applied to a product in a short time in an accelerated environment with an abnormal stress level, and the service life of the MEMS device can be predicted according to test data obtained by an alternative test, and related parameters of the accelerated life test mathematical model are deduced in the temperature stress and cyclic stress environment, and the life of the MEMS device in the temperature stress and cyclic stress environment.

The invention discloses a method for forecasting the engineering service life of a glass fiber reinforced plastic sleeve, which comprises the following steps of: 1, analysis of the working conditions, i.e. analyzing the working conditions and determining the main strained condition and the hygrothermal aging condition of the glass fiber reinforced plastic sleeve; 2, determination of safety coefficients, i.e. measuring relative mechanical properties by utilizing a test sample, measuring the stress of the glass fiber reinforced plastic sleeve by the field test and further determining the working safety coefficients of the glass fiber reinforced plastic sleeve; 3, establishment of a short-period hygrothermal aging function, i.e. carrying out hygrothermal aging test on the test sample for 1,000 hours to establish the hygrothermal aging function; and 4, forecasting of the engineering service life, i.e. selecting the safety coefficient according to the minimum rule, carrying out integration on the safety coefficient and the hygrothermal aging function to establish a glass fiber reinforced plastic sleeve engineering service life estimation model, setting the residual safety coefficients as 2 and extrapolating to 100 thousand of hours according tot he estimation model. The method can be used for accurately forecasting the engineering service life of the glass fiber reinforced plastic sleeve. The method has the advantages of time saving, economy and simple method.