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Methods of Artificial Intelligence for Signal Parameterisation Used in the Diagnos of Technical and Biological Systems

机译:用于技术和生物系统诊断的信号参数化人工智能方法

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The subject of the present paper is a proposed construction methodology for vibroacoustic signal parametrization systems based on application of artificial intelligence methods and techniques. The present considerations have been restrained to systems carrying out an automated evaluation of a selected class of vibroacoustic signals, required for diagnostics of technical and medical objects. The authors of the paper, on the basis of their multiple previous works solving problems of diagnostics of particular systems, aggregate the experience and propose methods which combine high numeric efficiency with good properties regarding the problem solving efficiency in the field of medical and technological diagnosis.
机译:本文的主题是一种基于人工智能方法和技术的振动声信号参数化系统的建议构造方法。当前的考虑仅限于对技术和医疗对象的诊断所需的对选定类别的振动声信号进行自动评估的系统。本文的作者在解决特定系统诊断问题的先前工作的基础上,总结了他们的经验,并提出了将高数值效率与良好性能相结合的方法,以解决医学和技术诊断领域的问题。

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