汽车发动机技术状态识别方法

V. Anisimov, Anatoliy Yelenych
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引用次数: 0

摘要

在现代研究中,识别问题越来越关注这样一个事实,即任何自然或社会经济性质的物体、现象和情况、过程的识别程序的实施都需要构建特殊的识别系统。由于若干原因,需要对识别问题采取系统的办法。首先,认可不是目标。它只是获取管理系统制定特定决策、行为策略或管理策略所需要的信息的一种手段。因此,识别系统的设计必须保证控制系统的最大效率高于识别系统。这意味着识别系统的目标服从于管理系统的目标。其次,识别系统的整体效率直接取决于识别系统的技术手段(测量和计算)及其数学软件的效率——用手语构建物体和现象类别描述的软件实现算法、适当的识别描述等。这反过来意味着识别系统的目标从属于整个系统的目标。这样,就形成了一个目标树——需要一个系统技术方法来解决问题的特征。如果考虑到识别系统的发展及其要素通常受到物质、人力、时间等方面的限制,这种做法的正当性就变得更加明显。本文讨论对象和现象识别的全系统问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
METHOD OF RECOGNITION OF TECHNICAL CONDITION AUTOTRACTOR ENGINES
In modern research, the problem of recognition is increasingly focused on the fact that the implementation of procedures for recognizing objects, phenomena, and situations, processes of any natural or socio-economic nature requires the construction of special recognition systems. The need for a systematic approach to the problem of recognition is due to a number of reasons. The first is that recognition is not the goal. It is only a means of obtaining the information needed by the management system to make a particular decision, behavioral strategy or management strategy. As a result, the recognition system must be designed in such a way as to ensure the greatest efficiency of the control system above the recognition system. This means the subordination of the goals of the recognition system to the goals of the management system. The second reason is that the efficiency of the recognition system as a whole directly depends on the efficiency of technical means of the recognition system (measuring and computing) and its mathematical software - software-implemented algorithms for constructing descriptions of classes of objects and phenomena in sign language, proper recognition descriptions, etc. This in turn means the subordination of the goals of the means of recognition system to the goals of the system as a whole. Thus, a tree of goals is formed - a characteristic feature of the need for a system-technical approach to the problem. If we take into account that the development of the recognition system and its elements are usually subject to restrictions - material, labor, time constraints, etc., the more obvious becomes the legitimacy of this approach. This article discusses system-wide issues of object and phenomenon recognition.
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