Methods for the handling with fuzzy knowledge andscaling problems in the modeling of technical systems using the example of large industrial brakes

以大型工业制动器为例，在技术系统建模中处理模糊知识和缩放问题的方法

• 批准号: 312993572
• 负责人: Professor Dr.-Ing. Henning Jürgen Meyer
• 金额: --
• 依托单位: Fachgebiet Konstruktion von Maschinensystemen (KM)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2016
• 资助国家: 德国
• 起止时间: 2015-12-31 至 2021-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/312993572?language=en
• 关键词: Methods; handling; fuzzy; knowledge; andscaling

The central aim of the project is the development and investigation of methods for the generation, the transformation and the transfer of knowledge from small experiments to the modelling of complex real systems. The example is the brake system of commercial vehicles. The reason for the use of this example is:- The direct use of design parameters from small experiments for modelling the complex reals system is not always possible because of differences between measured values from small test and reals brake systems - Many parameters specifications are fuzzy For reaching the research aim three test facilities should be used. The differences between the test plants are the level of details. The test facilities are a test bed for parts of brake pads, a hydraulic road simulator and a real vehicle. The project starts with the modelling as the basis for calculation methods for transforming the experimental results on the real system. A comparison between the measured results and the models will be used for optimising the scaling modelling methods. The tests of this project are the basis of the real investigation of the dynamic of knowledge in technical sciences using a concrete technical problem. The main task in this project will be the systematic investigation of the whole process of designing, modelling and examination brakes and the relevant modelling and scaling laws. Another aim is the search for of answers to the following questions: 1. In which way do we acquire the used knowledge? 2. What is the influence of the system environment on the acquisition of knowledge? 3. Which parameters will not be used for the modelling? What is the reason? 4. How accurately do describe the developed models the experiments? 5. Is there not measurable expert knowledge which is not used for the development of the test facility and the real brake? 6. What is the influence of the not measurable expert knowledge on the quality of the model? How it is possible to model this not measurable expert knowledge?

该项目的中心目标是开发和研究从小型实验到复杂真实系统建模的知识的生成、转换和转移方法。以商用车的制动系统为例。使用这个例子的原因是：-由于小型试验和实际制动系统的测量值之间的差异，直接使用小型试验的设计参数对复杂的实际系统进行建模并不总是可能的-许多参数规范是模糊的。为了达到研究目标，应该使用三个测试设施。测试工厂之间的区别在于细节水平。试验设施包括一个刹车片零件试验台、一个液压道路模拟器和一辆真车。项目从建模为基础的计算方法开始，将实验结果转化为实际系统。测量结果和模型之间的比较将用于优化比例建模方法。这个项目的测试是利用一个具体的技术问题对技术科学知识动态进行真正调查的基础。本课题的主要任务是对制动器的设计、建模和检验的全过程以及相关的建模和标度规律进行系统的研究。另一个目的是寻找以下问题的答案：我们以什么方式获得使用过的知识？2. 系统环境对知识获取的影响是什么？3. 哪些参数不会用于建模？原因是什么？4. 如何准确地描述已开发的模型和实验？5. 是否没有可测量的专家知识不用于测试设备和实际制动器的开发？6. 不可测量的专家知识对模型质量的影响是什么？如何可能对这种不可测量的专家知识进行建模？