基于相关系数的火箭测试变化缓变参数自动判读方法

变化缓变参数的自动判读是实现火箭测试数据自动判读的难点,已有的研究采用曲线拟合的思路进行判读,但拟合过程相当复杂,且不同的测试流程存在不同的拟合曲线,工作量极大.为提高判读效率,从变化缓变参数的物理意义出发,提出通过判别参数测量值序列之间的相关系数来实现变化缓变参数自动判读的方法.该方法对测量值序列进行先归一再累加生成的处理方式,克服了遥测系统测量误差对相关系数计算的影响,保障了判读准确性,同时减少了建立判读知识库的工作量.仿真结果表明,该方法运用简便,效果良好.

Method of Automatic Interpretation of Slow Variation Parameters in Rocket Tests Based on Correlation Coefficients

Automatic interpretation of slow variation parameters is a technical challenge during realization of automatic interpretation of rocket test data.Existing research deals with the problem through fitting curve,but the process is troublesome.Furthermore,the fitting curve changes with test program and this brings about huge workload.Following analysis of the physical meaning of slow variation parameters,the paper proposes a method for automatic interpretation of the parameters through distinguishing correlation coefficients between parameter sequences.While significantly reducing the workload for establishment of an interpretation knowledge base,the method overcomes the influence of errors of telemetry data on correlation coefficients and assures the accuracy of interpretation by normalizing and accumulating generation of measurement-sequences.Simulation results show that the method operates efficiently and yields effective results.