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1. 发明申请

US20060142990A1 Information processor, state judging unit and diagnostic unit, information processing method, state judging method and diagnosing method 失效
标题翻译：信息处理器，状态判断单元和诊断单元，信息处理方法，状态判断方法和诊断方法
公开(公告)号：US20060142990A1
公开(公告)日：2006-06-29
申请号：US10560585
申请日：2004-06-28
申请人： Gantcho Vatchkov , Koji Komatsu , Satoshi Fujii , Isao Murota
发明人： Gantcho Vatchkov , Koji Komatsu , Satoshi Fujii , Isao Murota
IPC分类号： G06F9/455
CPC分类号： G06N3/08 , E02F9/26 , G05B23/021 , G06N3/0454
摘要： An information processor, a state judging unit, a diagnostic unit, an information processing method, a state judging method and a diagnosing method aim at precisely recognizing each operation carried out by an object that functions in a number of operation modes. For this purpose, a number of combinations of n parameter values, concerning each of the operation modes, that vary with operation are detected by sensors (1a-1d) during the operation of the object, and a Self-Organizing Map creating means (2) creates Self-Organizing Maps, which corresponds one to each of the operation modes and which serve as individual separation models, regarding detection data based on the detected combination of parameter values as learning data.
摘要翻译：信息处理器，状态判断单元，诊断单元，信息处理方法，状态判断方法和诊断方法，旨在精确地识别由多个操作模式中的功能执行的每个操作。为此，在对象的操作期间，通过传感器（1a-1d）检测关于每个操作模式的n个参数值的多个组合，其中每个操作模式随着操作而变化，以及自组织图创建装置（2）根据检测到的参数值的组合作为学习数据，创建自组织图，其对应于每个操作模式一个并且用作各个分离模型。

2. 发明申请

US20070244841A1 Method and Apparatus for Data Processing, and Method and Apparatus for Diagnosis 失效
标题翻译：用于数据处理的方法和装置，以及用于诊断的方法和装置
公开(公告)号：US20070244841A1
公开(公告)日：2007-10-18
申请号：US11630571
申请日：2005-04-28
申请人： Gantcho Vatchkov , Koji Komatsu , Satoshi Fujii , Isao Murota
发明人： Gantcho Vatchkov , Koji Komatsu , Satoshi Fujii , Isao Murota
IPC分类号： G06F15/18
CPC分类号： G06N3/0454 , E02F9/26 , G05B23/021 , G05B23/024 , G05B23/0283
摘要： There are provided a method and an apparatus for data processing and a method and an apparatus which are able to precisely diagnose each parameter of an object, such as a machine, capable of operating in a plurality of operation modes. Detection means 1a-1d detect a multiplicity of normal data sets, each of which includes values of n parameters, for each of the operation modes; Self-Organizing Map creating means 2 creates a SOM for each operation mode, using the normal data sets; abnormal data creating means 7 creates abnormal data sets representing virtual abnormal states by modifying the values of the n parameters of each of the multiple normal data sets so that the abnormal data sets as many as the number of deviation vectors are created for each of the multiple normal data sets; and working mode proportion calculating means 8 creates abnormal operation mode proportion vectors by selecting a self-organizing map which has the highest similarity degree to each of the abnormal data sets from the self-organizing maps created in said step of creating self-organizing maps.
摘要翻译：提供了一种用于数据处理的方法和装置，以及能够精确地诊断能够以多种操作模式操作的诸如机器的对象的每个参数的方法和装置。检测装置1a-1d检测针对每个操作模式的多个正常数据集，每个正常数据集包括n个参数的值; 自组织地图创建装置2使用正常数据集为每个操作模式创建SOM; 异常数据创建装置7通过修改多个正常数据集中的每一个的n个参数的值来创建表示虚拟异常状态的异常数据集，使得为多个正常数据组中的每一个创建偏离向量的数量多的异常数据集正常数据集; 工作模式比例计算装置8通过从创建自组织图的所述步骤中创建的自组织图中选择与每个异常数据组具有最高相似度的自组织图来创建异常操作模式比例向量。

3. 发明申请

US20070233623A1 Apparatus and Method for Compressing Data, Apparatus and Method for Analyzing Data, and Data Management System 失效
标题翻译：用于压缩数据的装置和方法，用于分析数据的装置和方法以及数据管理系统
公开(公告)号：US20070233623A1
公开(公告)日：2007-10-04
申请号：US11628323
申请日：2005-04-28
申请人： Gantcho Vatchkov , Koji Komatsu , Satoshi Fujii , Isao Murota
发明人： Gantcho Vatchkov , Koji Komatsu , Satoshi Fujii , Isao Murota
IPC分类号： G06N3/02
CPC分类号： H03M7/30 , G06N3/088
摘要： There are provided an apparatus and a method for compressing data, an apparatus and a method for analyzing data and a data management system, which are capable of compressing huge data and accurately reproducing the characteristics of the original data from the compressed data. The data compressing apparatus includes detection means for detecting a multiplicity of data sets, each including n parameter values that vary according to an operation of an object, where n is a natural number; and data compressing means for compressing the data sets by inputting the data sets into an n-dimensional space, arranging neurons smaller in number than the data sets in the n-dimensional space, carrying out unsupervised learning for a neural network on the neurons, and converting the data sets into a neuron model parameter characterizing a neuron model obtained by the unsupervised learning.
摘要翻译：提供了一种用于压缩数据的装置和方法，用于分析数据的装置和方法以及数据管理系统，其能够压缩巨大数据并且从压缩数据精确地再现原始数据的特性。数据压缩装置包括用于检测多个数据集的检测装置，每个数据组包括根据对象的操作而变化的n个参数值，其中n是自然数; 以及数据压缩装置，用于通过将数据集输入到n维空间中来压缩数据集，排列数量小于n维空间中的数据集的神经元，对神经元执行神经网络的无监督学习，以及将数据集转换为表征由无监督学习获得的神经元模型的神经元模型参数。

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