微分和拓扑诊断问题。第6部分。鉴别诊断问题的统计求解

Maxim V. Shamolin
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引用次数: 2

摘要

提议的工作是微分和拓扑诊断周期的第六项工作。结果表明,在轨迹测量被噪声破坏的情况下,可以使用[5]中获得的诊断算法进行诊断,这是一个具有零平均值和有界谱的正常白噪声类型的随机过程,即即使在这种相当普遍的情况下,本节的结果仍然有效;此外,在先验定理[5]中引入的诊断泛函现在是后验的。
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PROBLEMS OF DIFFERENTIAL AND TOPOLOGICAL DIAGNOSTICS. PART 6. STATISTICAL SOLVING OF THE PROBLEM OF DIFFERENTIAL DIAGNOSTICS
Proposed work is the sixth work of the cycle on differential and topological diagnostics. It is shown that the diagnostics in the case of trajectorial measurements corrupted by noise, which is a stochastic process of the normal white noise type with zero mean value and bounded spectrum, can be performed by using the diagnostic algorithms obtained in [5], i.e., the results of this section remain valid even in this rather general case; moreover, the diagnostic functional, which was introduced in the theorem of [5] a priori, is now obtained a posteriori.
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