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85 results about "Product lifetime" patented technology

Product lifetime or product lifespan is the time interval from when a product is sold to when it is discarded. It is slightly different from service life because the latter consider only the effective time the product is used.

Practical electronic product service life evaluation model parameter high-accuracy extraction method

The invention discloses a practical electronic product service life evaluation model parameter high-accuracy extraction method, which comprises the following steps of: (1) determining a failure physical model and model parameters to be extracted; (2) acquiring mean values, upper limits and lower limits of geometric and material parameters of a product, and representing the uncertainty of the parameters by adopting process capability indexes; (3) evaluating initial model parameters of the failure physical model according to the mean values of the geometric and material parameters of the product; (4) performing sampling according to distribution types of the geometric and material parameters to obtain random values of the geometric and material parameters; (5) obtaining the random value of the service life of the product by combining a Monte-Carlo simulation method; (6) obtaining a theoretical distribution function of the service life of the product according to the random value of the service life; (7) processing experimental failure data by adopting a remaining ratio method to obtain an empirical distribution function of the service life of the product; (8) checking a degree of fitting of the two service life distribution function by utilizing a K-S checking method; and (9) performing optimal extraction on the model parameters until the model parameters with an optimal degree of fitting are obtained.
Owner:北京可维创业科技有限公司

Accelerated degradation test statistical analysis method under multi-stress multi-failure mode dependent competition condition

The invention provides an accelerated degradation test statistical analysis method under a multi-stress multi-failure mode dependent competition condition. The method comprises the following steps: acquiring multi-stress accelerated degradation test data of a product; selecting a proper distribution model and estimating distribution parameters; establishing a model between the degradation amount distribution parameter and time and estimating a model parameter; constructing a multi-stress acceleration model; modelling multi-failure-mode dependent competitive reliability; and solving unknown parameters of the model to obtain product reliability distribution. The coupling influence of multiple stresses on life characteristics and the dependency of a degradation process and a random impact process are considered, a reliability function under the N stress M failure mode dependency competition condition is established, and the gap in the related research field is filled; based on product degradation amount distribution and a multi-stress multi-failure-mode dependent competition reliability model, an analysis method of an N-stress M-failure-mode dependent competition accelerated degradation test is established systematically for the first time, engineering practice is better met, the service life of a product is prolonged, and the accuracy of reliability evaluation is improved.
Owner:NAT UNIV OF DEFENSE TECH

Improved method for prolonging product service life based on material ratio and key process parameter

An improved method for prolonging the product service life based on the material ratio and a key process parameter. The method comprises the following steps: 1, determining the key process parameter and a key performance parameter; 2, obtaining service life data of a product with the material ratio and the key process parameter controlled; 3, establishing a product service life prediction model based on the material ratio and the key process parameter; 4, optimizing the material ratio and the key process parameter to achieve prolonging of the product service life. According to the improved method for prolonging the product service life based on the material ratio and the key process parameter, the reliability and service life of the product are quantitatively adjusted in the view of optimizing the material ratio and the key process parameter, and the non-linear mapping relation model between the material ratio, the key process parameter and the product service life is established for the first time, so that the service life prolonging obtained according to the model is more accurate and more favorable for instructing the industrial production. The complete flow from parameter selection, data obtaining through experiment design and modeling to final prolonging of the service life is given. The method comprises the detailed steps and is easy to implement.
Owner:NAT UNIV OF DEFENSE TECH

Performance data accompanying product service life and reliability predicting method thereof

The invention relates to a performance data accompanying product service life and a reliability predicting method thereof. The method comprises the following methods that firstly, an evaluation line of the product performance is set, the product performance measuring data is obtained, and the current operation information time sequence is built; the phase space reconstruction is carried out, and a phase point group is obtained; the product performance is predicted, and five future operation information time sequences of the product performance are obtained; five pieces of performance service life data reaching the performance evaluation line are predicted; a large amount of performance service life generation data is obtained; and the probability density function of the future product performance service life is predicted, the reliability function is further predicted, and the performance service life and reliability prediction of the product are completed. The method has the advantages that the probability density function of the future time product performance service life can be obtained according to the current operation information of the product performance, further, the future service life and reliability function of the product are built, the future time performance service life and reliability of the product are favorably predicted in real time, the product performance change / degeneration and failure hidden troubles are found in time, and the occurrence of serious accidents is avoided.
Owner:HENAN UNIV OF SCI & TECH
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