Least square method-based curve fitting method
A technology of least squares and curve fitting, applied in complex mathematical operations, etc., can solve problems such as inability to guarantee, and achieve the effect of simple method, avoiding minimal changes, and strong logic.
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[0091] Taking Table 1 in the reference ("Assessment of accelerometer storage life under temperature stress", "Journal of Armored Forces Engineering College", Vol.28 No.3, 2014, P28) as an example, the inertial instrument—accelerometer is set at The failure data of the natural storage environment test under the condition of 25°C (the sample size of each test is 100), the test result is
[0092] Table 1 Statistical situation of test failure data
[0093]
[0094]
[0095] Using the Weibull distribution , solve ln(-ln(1-F))=m ln(T)-m ln(η) by least squares method and provide the solution of step (3) with parameters m and η: m=1.7618596, η=49.748074 . Fitting curves such as figure 2 As shown, the "*" point in the figure is the experimental data in Table 1, and the "o" point is the fitted value. It can be seen that there is still a large gap between the two. at this time,
[0096] Adopt the curve fitting method based on least square method of the present invention, p...
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