System of standardless diagnostic of cell panels based on Fuzzy-ART neural network

V. Eremenko, A. V. Pereidenko, V. O. Rogankov
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引用次数: 8

Abstract

Distinctive line of composite materials is indivisibility of their creation process and formation of properties from reception of ready details and knots. According to this, achievement of high reliability of products from composites it is necessary to improve, first of all, manufacturing techniques and to provide the control of observance of all parameters of technological process. Not less important is increasing reliability of an estimation of a technical condition of a product at the moment of manufacturing and while process of exploitation. Composite materials are characterized by considerable disorder of physical parameters, materials which enter into composite, low density, considerable disorder of properties both from a product to a product, and in the product itself, their anisotropy, unavailability of the sufficient information of the basic types of defects. Therefore to this, it is impossible to apply traditional methods of nondestructing control, which based on knowledge of physical parameters of materials, such as elastic modulus, density, propagation speed of ultrasonic waves, dielectric permittivity.
基于Fuzzy-ART神经网络的电池面板无标诊断系统
复合材料的独特线条是其创造过程的不可分割性,以及从接收现成的细节和结开始形成的特性。因此,要实现复合材料产品的高可靠性,首先需要改进制造技术,并提供对工艺过程中所有参数的遵守控制。同样重要的是,提高在制造和开发过程中对产品技术条件估计的可靠性。复合材料的特点是物理参数相当混乱,材料进入复合材料,低密度,从一个产品到另一个产品的性能相当混乱,在产品本身,它们的各向异性,缺乏基本缺陷类型的足够信息。因此,传统的基于材料的物理参数(如弹性模量、密度、超声波传播速度、介电常数等)的无损控制方法是不可能实现的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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