A method for calculating the storage life of inertial devices
A technology of storage life and inertial devices, which is applied in the field of inertial instruments, can solve problems such as difficulty in conforming to monotonous changes of inertial devices, uncertainty in model selection, etc., and achieve the effects of improving accuracy, wide coverage, and wide application range
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
example 1
[0149] Example 1, the scale factor K of an accelerometer in service for 7 years 1 (belonging to parameter X) test data see figure 2 , the scaling factor K 1 Standard deviation σ of K1 For test data, see image 3 , it can be seen that the scaling factor K 1 and its standard deviation σ K1 Gradually grow larger over time. According to technical conditions, the scale factor K 1 The required value is 3000±40, the standard deviation σ K1 The required value of σ K1 σ = 1.11.
[0150] In judgment by K 1 When causing the storage life, it is necessary to separately adjust the K 1 and σ K1 for analysis.
[0151] Solving Equations Using Least Squares The specific steps are:
[0152] (1) The coefficients separated by the least square method are obviously incompatible requirements. Therefore, to reduce the order of the model, we have
[0153] (2) According to the least squares method for solve, there is When performing model testing, there is F=12.1389>F ...
example 2
[0162] Example 2, the zero-order item D of a certain gyroscope in service for 10 years 0 For test data, see Figure 5 , let its standard deviation σ D0 is a constant value, σ D0 =0.0273° / h; from Figure 5 It can be seen that D 0 Decreases with time, if close to the design requirement value w D =-0.7° / h, it is close to its storage life.
[0163] In judgment by D 0 When causing storage life, the specific steps are as follows:
[0164] (1) Take D 0 (t)=a+λt, using the least square method to solve, there are a=-0.1253, λ=-0.01265. When performing model testing, there is F=15.737>F 0.01 =11.3, therefore, the model is significant, and since it is a linear equation, all coefficients are significant.
[0165] (2) take Into the formula:
[0166]
[0167] Figure 6 is the zero-order item D of the gyroscope 0 Schematic representation of lifetime prediction.
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


