Movable yro life predicting method based on gray mode
Through a gray model-based method, using wavelet transform and performance parameter extrapolation method, the life trend term of the dynamically controlled gyroscope is extracted, which solves the problem of gyroscope life assessment in the existing technology and realizes the optimization of the gyroscope under the conditions of small batch and high cost. Reliable life predictions simplify the evaluation process and reduce resource consumption.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANGHAI JIAOTONG UNIV
- Filing Date
- 2004-07-15
- Publication Date
- 2005-03-02
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
It is difficult to effectively evaluate and predict the life of aerospace electromechanical components such as gyroscopes with existing technology, especially in the case of small batches and high costs. The traditional accelerated life test method has difficulties in funding, time and sample quantity, and the reliability of conventional life It is difficult for the evaluation method to introduce pre-test information that expands the reliability parameters of the evaluation.
A dynamically controlled gyroscope life prediction method based on the gray model is used to find the law of life operation by testing multiple parameters related to life, using wavelet transform to extract trend terms, establishing a gray single-variable first-order model, and combining the performance parameter extrapolation method , perform life prediction, simplifying data processing and model building.
It achieves reliable prediction of the life of dynamically controlled gyroscopes under extremely small sample conditions, reduces costs and waste of resources, provides a simple and easy basis for life judgment, and is suitable for life assessment and prediction of other electromechanical components.