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A method for identifying thermal parameters of distributed objects define the shape and multichannel management of its temperature field

机译:确定分布对象热参数的方法定义形状和温度场的多通道管理

摘要

1.method of identification of thermal parameters of distributed object specified forms and multi-channel u0443u043fu0440u0430u0432u043bu0435u043du0438u00a0 his field temperature, u0437u0430u043au043bu044eu0447u0430u044eu0449u0438u0439u0441u00a0 that ol and the final number of u0443u043fu0440u0430u0432u043bu0435u043du0438u00a0 on channels of digital programming information received from sensors in the experiment value and u0434u0435u043au0432u0430u0442u043du043eu0441u0442u044c model using the f - u043au0440u0438u0442u0435u0440u0438u00a0 fisher on the model methodu043fu0440u0438u043cu0435u043du00a0u0435u043cu043eu0439 u0434u043bu00a0 focused object, u043eu0442u043bu0438u0447u0430u044eu0449u0438u0439u0441u00a0, u0434u043bu00a0 object with the cyclical operation of the u043fu0440u043eu0432u043eu0434u00a0u0442 measurements in each cycle in the limited points are evenly distributed on the volume of object and from cycle to cycle, and all the population data u0434u0435u043bu00a0u0442 class organizational and technological situations and their corresponding sample experimental and modeling dataa model for each class separately u0434u043bu00a0 insist that organizational and technological situations, after which the sample u043eu0431u044au0435u0434u0438u043du00a0u044eu0442 in group classes, which are u0434u0438u0441u043f u0434u043bu00a0 u0435u0440u0441u0438u0438 and inadequacy of homogeneous dispersion.with the identification of organizational and technological situation and classification of experimental and modeling data u043eu0442u043du043eu0441u00a0u0442 u0443u043fu0440u0430u0432u043bu00a0u044eu0449u0438u0435 and controlled u0432u043eu0437u043cu0443u0449u0430u044eu0449u0438u0435 u0432u043eu0437u0434u0435u0439u0441u0442u0432u0438u00a0, as well as the boundary u0443u0441u043bu043eu0432u0438u00a0, adequacy or inadequacy of the model do separately u0434u043bu00a0 each class body u0438u0437u0430u0446u0438u043eu043du043du043e technology situations depending on the u0437u043du0430u0447u0435u043du0438u00a0 f - u043au0440u0438u0442u0435u0440u0438u00a0 fisherand adequate model using u0434u043bu00a0 u0443u043fu0440u0430u0432u043bu0435u043du0438u00a0 object.;2. method for u043eu0442u043bu0438u0447u0430u044eu0449u0438u0439u0441u00a0 1, so that the errors u043cu043eu0434u0435u043bu0438u0440u043eu0432u0430u043du0438u00a0 due to questionable measurements in every class, organizational and technological sith u0443u0430u0446u0438u0439 are turned away, using known techniques, u043fu0440u0438u043cu0435u043du00a0u0435u043cu044bu0445 u0434u043bu00a0 focusing objects, for example, by t - u043au0440u0438u0442u0435u0440u0438u00a0 u0441u0442u044cu044eu0434u0435u043du0442u0430.;3. method for u043eu0442u043bu0438u0447u0430u044eu0449u0438u0439u0441u00a0 1, so that the separated form the training and testing sample measurements and the errors in each grade u043eu0440u0433u0430u043du0438u0437u0430u0446u0438u043e u043cu043eu0434u0435u043bu0438u0440u043eu0432u0430u043du0438u00a0 dnas of technology management and training sample using u0434u043bu00a0 configuration model, and the control is u0434u043bu00a0 assessment of its adequacy.;4. method for p.1, u043eu0442u043bu0438u0447u0430u044eu0449u0438u0439u0441u00a0 that, in the identification and management of multiple physical u043fu043eu043bu00a0u043cu0438 adequacy of the model object u043fu0440u043eu0432u0435u0440u00a0u044eu0442 separately u0434u043bu00a0 each u043fu043eu043bu00a0 after wha the conclusion about the adequacy of the model of the object in general are based on u043au043eu043du044au044eu043du043au0446u0438u0438 opinions on individual u043fu043eu043bu00a0u043c and vector u043fu043eu043bu00a0 u043fu0440u0435u0434u0441u0442u0430u0432u043bu00a0u044eu0442 u043au043eu043cu0431u0438u043du0430u0446u0438u00a0u043cu0438 ska u043bu00a0u0440u043du044bu0445 fields selected projections baseline vectors to u043au043eu043eu0440u0434u0438u043du0430u0442u043du044bu0435 axis.
机译:1,确定分布对象指定形式和多通道热参数的方法 u0443 u043f u0440 u0430 u0432 u043b u0435 u043d u0438 u00a0场温度 u0437 u0430 u0430 u043a u043b u044e u0447 u0430 u044e u0449 u0438 u0439 u0441 u00a0 ol和数字编程信息通道上的 u0443 u043f u0440 u0430 u0432 u043b u0435 u0435 u043d u0438 u00a0的最终编号使用f- u043a u0440 u0438 u0442 u0432 u0435 u0440 u0438 的实验值和 u0434 u0435 u043a u0432 u0430 u0442 u043d u043e u0441 u0442 u044c模型从传感器接收到u00a0 fisher on the model method u043f u0440 u0438 u043c u0435 u043d u00a0 u0435 u043c u043e u0439 u0434 u043b u00a0聚焦对象, u043e u0442 u043b u0438 u0447 u0430 u044e u0449 u0438 u0439 u0441 u00a0, u0434 u043b u00a0对象与 u043f u0440 u043e u0432 u0432 u043e u0434 u00a0 u0442的循环操作的极限点分别为均匀分布在objec的体积上t和每个周期之间,所有的人口数据 u0434 u0435 u043b u00a0 u0442类组织和技术状况及其相应的示例实验和建模数据每个模型分别的模型技术情况,然后将分组类中的样本 u043e u0431 u044a u0435 u0434 u0438 u043d u00a0 u044e u0442 u0434 u0438 u0441 u043f u0434 u0434 u043b u00a0 u0435 u0440 u0441 u0438 u0438以及均匀分散性不足。通过识别组织和技术状况以及对实验和建模数据进行分类 u043e u0442 u043d u043e u0441 u00a0 u0442 u0443 u043f u0440 u0430 u0432 u043b u00a0 u044e u0449 u0438 u0435并控制 u0432 u043e u0437 u043c u0443 u0449 u0430 u044e u0449 u0438 u0435 u0432 u0432 u043e u0437 u0434 u0435 u0441 u0442 u0432 u0438 u00a0,以及边界 u0443 u0441 u043b u043e u0432 u0438 u00a0,是否足够模型的适当性 u0434 u043b u00a0每个类主体 u0438 u0437 u0430 u0446 u0438 u043e u043d u043d u043d u043e技术情况取决于 u0437 u043d u0430 u0447 u0435 u043d u0438 u00a0 f- u043a u0440 u0438 u0442 u0435 u0440 u0438 u00a0 fisher并使用 u0434 u043b u00a0 u0443 u043f u0440 u0430 u0432 u043b u0435 u043d u00a0对象; 2。 u043e u0442 u043b u0438 u0447 u0430 u044e u0449 u0438 u0439 u0441 u00a0 1的方法,因此错误 u043c u043e u0434 u0435 u043b u043b u0438 u0440 u043e u0432 u0430 u043d u0438 u00a0由于每堂课的测量均存在问题,因此组织和技术方面的问题已被 u0443 u0430 u0446 u0438 u0439使用已知技术拒之门外, u00a0 u0435 u043c u044b u0445 u0434 u043b u00a0聚焦对象,例如,通过t- u043a u0440 u0438 u0442 u0435 u0440 u0438 u00a0 u0441 u0442 u044c u044e u0434 u0435 u043d u0442 u0430。; 3。 u043e u0442 u043b u0438 u0447 u0430 u044e u0449 u0438 u0439 u0441 u00a0 1的方法,以便分开形成训练和测试样本测量以及每个年级的误差 u043e u0440 u0433 u0430 u043d u0438 u0437 u0430 u0446 u0438 u043e u043c u043e u0434 u0435 u0435 u043b u0438 u0440 u043e u0432 u0430 u043d u043d u0438 u00a0技术管理和培训的样品使用 u0434 u043b u00a0配置模型,并且控制权是 u0434 u043b u00b0评估其适当性; 4。第1页的方法, u043e u0442 u043b u0438 u0447 u0430 u044e u0449 u0438 u0439 u0441 u00a0,即识别和管理多个物理 u043f u043e u043e u043b u00a0 u043c u0438模型对象 u043f u0440 u043e u0432 u0435 u0440 u00a0 u044e u0442的充分性,每个 u043f u043e u043b u00bb对象的模型通常基于 u043a u043e u043d u044a u044e u043d u043a u0446 u0438 u0438对各个 u043f u043e u043b u00a0 u043c的意见和向量 u043f u043e u043b u00a0 u043f u0440 u0435 u0434 u0441 u0442 u0430 u0432 u043b u00a0 u044e u0442 u043a u043e u043c u0431 u0438 u043d u0430 u0446 u0438 u00438 u00a0 ska u043b u00a0 u0440 u043d u044b u0445选定的字段将基线矢量投影到 u043a u043e u043e u0440 u0434 u0438 u043d u0430 u0442 u043d u043d u044b u0435轴。

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