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

该项目的中心目标是开发和研究从小型实验到复杂真实的系统建模的知识生成、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：-直接使用的设计参数从小型实验建模的复杂reals系统是不可能的，因为测量值之间的差异，从小型试验和reals制动系统-许多参数规格是模糊的，为了达到研究目的，应该使用三个测试设备。测试植物之间的差异在于细节水平。试验设备是制动片零件试验台、液压道路模拟器和真实的车辆。该项目从建模开始，作为计算方法的基础，将实验结果转化为真实的系统。测量结果和模型之间的比较将用于优化缩放建模方法。这个项目的测试是使用具体的技术问题对技术科学中的知识动态进行真实的调查的基础。该项目的主要任务是系统地研究制动器的设计、建模和检验的整个过程以及相关的建模和比例律。另一个目的是寻找以下问题的答案：1。我们怎样才能获得有用的知识？2.系统环境对知识获取的影响是什么？3.哪些参数不用于建模？原因何在？4.如何准确地描述开发的模型的实验？5.是否有可测量的专家知识未用于测试设备和真实的制动器的开发？6.不可测量的专家知识对模型质量的影响是什么？如何对这些不可测量的专家知识进行建模？

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?