鱼雷实航试验超差数据评判方法

鱼雷实航试验超差数据评判方法
English: The evaluation of torpedo flying test data involves the analysis of various performance parameters such as speed, accuracy, and reliability. When the test data shows significant deviations from the expected or desired results, it is important to use a systematic approach to judge the extent of the deviation and its potential impact on the overall performance of the torpedo. One method to evaluate the data is to compare it against pre-established performance criteria, such as the required speed and accuracy for a successful torpedo launch. If the test data falls below these criteria, it indicates a subpar performance. Additionally, statistical analysis can be employed to determine the significance of the deviations and whether they are within an acceptable margin of error. Another approach is to conduct a root cause analysis to identify any potential malfunctions or issues with the torpedo system that may have resulted in the poor test performance. It is also important to consider external factors such as environmental conditions or human error that may have influenced the test results. By utilizing a combination of these methods, the extent and implications of the subpar test data can be effectively evaluated.
中文翻译:
鱼雷飞行试验数据的评估涉及对各种性能参数（如速度、精度和可靠性）的分析。

当试验数据显示出与预期或期望结果显著偏离时，重要的是要采用系统化的方法来判断偏差的程度及其对鱼雷总体性能的潜在影响。

评价数据的一种方法是将其与预先建立的性能标准进行比较，例如成功发射鱼雷所需的速度和精度。

如果试验数据低于这些标准，就表明性能不佳。

此外，可以采用统计分析来确定偏差的重要性以及它们是否在可接受的误差范围内。

另一种方法是进行根本原因分析，以确定可能导致试验性能不佳的鱼雷系统的任何潜在故障或问题。

还应考虑可能影响试验结果的外部因素，如环境条件或人为错误。

通过结合这些方法，可以有效评估试验数据的程度和影响。