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1.发明授权Method and system for obtaining a combination of faulty parts from a dispersed parts tree 有权从分散的部分树中获得有缺陷的部分的组合的方法和系统公开(公告)号：US07769706B2
公开(公告)日：2010-08-03
申请号：US12489244
申请日：2009-06-22
CPC分类号： G06N5/025 , G06Q10/06 , Y10S706/902
摘要： It is an object of the present invention to find out parts to be a highly possible cause of failure without searching all of part data of all of products. Dispersed parts data on a parts tree are sequentially accessed from a set of known failed products, and part attribute values each having a higher support in the faulty product are extracted. In this process, a subset of parts used in the faulty product is also obtained simultaneously. The part attribute values having higher supports and the subset of parts used in the faulty product are represented as a tree in which a parts type serves as a node. Next, an information gain of a rule that having the two part attribute values is a cause of failure is calculated on two part attribute values having higher supports on the tree of the parts type. This calculation is locally performed on a common parent part of two parts and parts having a certain information gain is outputted as a cause of failure. How to select these two part attributes is performed in such a way that part attributes located closer to each other on the tree are first evaluated, and first found part attributes are made a candidate of a cause of failure.
摘要翻译： 本发明的一个目的是在不搜索所有产品的全部零件数据的情况下，发现零件是非常可能的故障原因。 从一组已知的故障产品中顺序访问零件树上的分散零件数据，并提取每个在故障产品中具有较高支持度的零件属性值。 在此过程中，也可以同时获得在故障产品中使用的部件的子集。 具有较高支持的部件属性值和在故障产品中使用的部件的子集被表示为其中部件类型用作节点的树。 接下来，对具有两部分属性值的规则的信息增益作为故障原因，对具有较高支持度的零件类型的树上的两部分属性值进行计算。 该计算在两部分的公共父部分执行，并且具有某一信息增益的部分作为故障的原因被输出。 首先评估如何选择这两个部分属性，使得首先评估在树上彼此更靠近的部分属性，并且首先发现零件属性成为故障原因的候选者。
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2.发明授权Method and system for obtaining a combination of faulty parts from a dispersed parts tree 失效从分散的部分树中获得有缺陷的部分的组合的方法和系统公开(公告)号：US07567948B2
公开(公告)日：2009-07-28
申请号：US11865199
申请日：2007-10-01
CPC分类号： G06N5/025 , G06Q10/06 , Y10S706/902
摘要： It is an object of the present invention to find out parts to be a highly possible cause of failure without searching all of part data of all of products.Dispersed parts data on a parts tree are sequentially accessed from a set of known failed products, and part attribute values each having a higher support in the faulty product are extracted. In this process, a subset of parts used in the faulty product is also obtained simultaneously. The part attribute values having higher supports and the subset of parts used in the faulty product are represented as a tree in which a parts type serves as a node. Next, an information gain of a rule that having the two part attribute values is a cause of failure is calculated on two part attribute values having higher supports on the tree of the parts type. This calculation is locally performed on a common parent part of two parts and parts having a certain information gain is outputted as a cause of failure. How to select these two part attributes is performed in such a way that part attributes located closer to each other on the tree are first evaluated, and first found part attributes are made a candidate of a cause of failure.
摘要翻译： 本发明的一个目的是在不搜索所有产品的全部零件数据的情况下，发现零件是非常可能的故障原因。 从一组已知的故障产品中顺序访问零件树上的分散零件数据，并提取每个在故障产品中具有较高支持度的零件属性值。 在此过程中，也可以同时获得在故障产品中使用的部件的子集。 具有较高支持的部件属性值和在故障产品中使用的部件的子集被表示为其中部件类型用作节点的树。 接下来，对具有两部分属性值的规则的信息增益作为故障原因，对具有较高支持度的零件类型的树上的两部分属性值进行计算。 该计算在两部分的公共父部分执行，并且具有某一信息增益的部分作为故障的原因被输出。 首先评估如何选择这两个部分属性，使得首先评估在树上彼此更靠近的部分属性，并且首先找到零件属性成为故障原因的候选者。
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3.发明申请METHOD AND SYSTEM FOR OBTAINING A COMBINATION OF FAULTY PARTS FROM A DISPERSED PARTS TREE 有权从分散部分树中获取故障部件组合的方法和系统公开(公告)号：US20090271354A1
公开(公告)日：2009-10-29
申请号：US12489244
申请日：2009-06-22
IPC分类号： G06F15/18
CPC分类号： G06N5/025 , G06Q10/06 , Y10S706/902
摘要： It is an object of the present invention to find out parts to be a highly possible cause of failure without searching all of part data of all of products. Dispersed parts data on a parts tree are sequentially accessed from a set of known failed products, and part attribute values each having a higher support in the faulty product are extracted. In this process, a subset of parts used in the faulty product is also obtained simultaneously. The part attribute values having higher supports and the subset of parts used in the faulty product are represented as a tree in which a parts type serves as a node. Next, an information gain of a rule that having the two part attribute values is a cause of failure is calculated on two part attribute values having higher supports on the tree of the parts type. This calculation is locally performed on a common parent part of two parts and parts having a certain information gain is outputted as a cause of failure. How to select these two part attributes is performed in such a way that part attributes located closer to each other on the tree are first evaluated, and first found part attributes are made a candidate of a cause of failure.
摘要翻译： 本发明的一个目的是在不搜索所有产品的全部零件数据的情况下，发现零件是非常可能的故障原因。 从一组已知的故障产品中顺序访问零件树上的分散零件数据，并提取每个在故障产品中具有较高支持度的零件属性值。 在此过程中，也可以同时获得在故障产品中使用的部件的子集。 具有较高支持的部件属性值和在故障产品中使用的部件的子集被表示为其中部件类型用作节点的树。 接下来，对具有两部分属性值的规则的信息增益作为故障原因，对具有较高支持度的零件类型的树上的两部分属性值进行计算。 该计算在两部分的公共父部分执行，并且具有某一信息增益的部分作为故障的原因被输出。 首先评估如何选择这两个部分属性，使得首先评估在树上彼此更靠近的部分属性，并且首先找到零件属性成为故障原因的候选者。
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4.发明申请METHOD AND SYSTEM FOR OBTAINING A COMBINATION OF FAULTY PARTS FROM A DISPERSED PARTS TREE 失效从分散部分树中获取故障部件组合的方法和系统公开(公告)号：US20080147586A1
公开(公告)日：2008-06-19
申请号：US11865199
申请日：2007-10-01
IPC分类号： G06F17/00
CPC分类号： G06N5/025 , G06Q10/06 , Y10S706/902
摘要： It is an object of the present invention to find out parts to be a highly possible cause of failure without searching all of part data of all of products.Dispersed parts data on a parts tree are sequentially accessed from a set of known failed products, and part attribute values each having a higher support in the faulty product are extracted. In this process, a subset of parts used in the faulty product is also obtained simultaneously. The part attribute values having higher supports and the subset of parts used in the faulty product are represented as a tree in which a parts type serves as a node. Next, an information gain of a rule that having the two part attribute values is a cause of failure is calculated on two part attribute values having higher supports on the tree of the parts type. This calculation is locally performed on a common parent part of two parts and parts having a certain information gain is outputted as a cause of failure. How to select these two part attributes is performed in such a way that part attributes located closer to each other on the tree are first evaluated, and first found part attributes are made a candidate of a cause of failure.
摘要翻译： 本发明的一个目的是在不搜索所有产品的全部零件数据的情况下，发现零件是非常可能的故障原因。 从一组已知的故障产品中顺序访问零件树上的分散零件数据，并提取每个在故障产品中具有较高支持度的零件属性值。 在此过程中，也可以同时获得在故障产品中使用的部件的子集。 具有较高支持的部件属性值和在故障产品中使用的部件的子集被表示为其中部件类型用作节点的树。 接下来，对具有两部分属性值的规则的信息增益作为故障原因，对具有较高支持度的零件类型的树上的两部分属性值进行计算。 该计算在两部分的公共父部分执行，并且具有某一信息增益的部分作为故障的原因被输出。 首先评估如何选择这两个部分属性，使得首先评估在树上彼此更靠近的部分属性，并且首先找到零件属性成为故障原因的候选者。
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5.发明授权System, method, program for assigning virtual attribute to product, and system, method, and program for tracing cause of phenomenon occurring in product 失效产品分配虚拟属性的系统，方法，程序，以及产品中现象发生原因的系统，方法和程序公开(公告)号：US08165913B2
公开(公告)日：2012-04-24
申请号：US11845330
申请日：2007-08-27
IPC分类号： G06F17/50
CPC分类号： G06Q99/00 , G06Q10/063 , G06Q10/06395
摘要： A system for tracing a cause of a phenomenon occurring in products produced in a production process chain is provided. The system is provided with a storage unit for storing a virtual attribute in association with corresponding second products, a receiving unit for receiving information for specifying third products in which a phenomenon occurs, a correlation calculation unit for calculating a correlation coefficient between the third products specified by the information for specifying the third products and the group of the second products having a common virtual attribute, for every kind of second products used in the third products, and a cause identification unit for identifying the second products belonging to the kind of the second products for which a maximum correlation coefficient is calculated as the cause of the phenomenon.
摘要翻译： 提供了用于追踪在生产过程链中产生的产品中发生现象的原因的系统。 该系统设置有用于存储与对应的第二产品相关联的虚拟属性的存储单元，用于接收用于指定发生现象的第三产品的信息的接收单元，用于计算指定的第三产品之间的相关系数的相关计算单元 通过用于指定第三产品的信息和具有共同虚拟属性的第二产品的组，用于第三产品中使用的每种第二产品，以及原因识别单元，用于识别属于第二产品的第二产品的属性 计算出最大相关系数作为该现象的原因的产品。
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6.发明申请System, Method, Program for Assigning Virtual Attribute to Product, and System, Method, and Program for Tracing Cause of Phenomenon Occurring in Product 失效系统，方法，为产品分配虚拟属性的程序，系统，方法和程序跟踪产品现象的原因公开(公告)号：US20080059259A1
公开(公告)日：2008-03-06
申请号：US11845330
申请日：2007-08-27
IPC分类号： G06Q99/00
CPC分类号： G06Q99/00 , G06Q10/063 , G06Q10/06395
摘要： A system for tracing a cause of a phenomenon occurring in products produced in a production process chain is provided. The system is provided with a storage unit for storing a virtual attribute in association with corresponding second products, a receiving unit for receiving information for specifying third products in which a phenomenon occurs, a correlation calculation unit for calculating a correlation coefficient between the third products specified by the information for specifying the third products and the group of the second products having a common virtual attribute, for every kind of second products used in the third products, and a cause identification unit for identifying the second products belonging to the kind of the second products for which a maximum correlation coefficient is calculated as the cause of the phenomenon.
摘要翻译： 提供了用于追踪在生产过程链中产生的产品中发生现象的原因的系统。 该系统设置有用于存储与对应的第二产品相关联的虚拟属性的存储单元，用于接收用于指定发生现象的第三产品的信息的接收单元，用于计算指定的第三产品之间的相关系数的相关计算单元 通过用于指定第三产品的信息和具有共同虚拟属性的第二产品的组，用于第三产品中使用的每种第二产品，以及原因识别单元，用于识别属于第二产品的第二产品的属性 计算出最大相关系数作为该现象的原因的产品。
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公开(公告)号：US5684725A
公开(公告)日：1997-11-04
申请号：US534418
申请日：1995-09-27
CPC分类号： G06T17/10
摘要： A technique to synthesize an accurate solid model from drawing data. Closed regions are detected based on top view data and a closed region list is generated. A tree structure is detected and the list is converted to symbol groups, each of which is a set of symbols representative of the elements of the contour line of the closed region and symbols representative of a connection relationship between the elements. When the converted symbol groups include a symbol group having a specific symbol, that symbol group is divided into a plurality of symbol groups based on that specific symbol. The symbol groups are matched, and the area of the closed region is detected. Symbol groups of closed regions of the same shape are classified and symbol groups of closed regions of the same area are classified. From the classified symbol groups, symbol groups of closed regions having a child of the closed region of the same shape and area are classified, and a solid model is constructed.
摘要翻译： 从绘图数据合成精确实体模型的技术。 基于顶视图数据检测闭合区域，并且生成闭合区域列表。 检测树结构，并将列表转换为符号组，每个符号组是表示封闭区域的轮廓线的元素的符号集合，以及表示元素之间的连接关系的符号。 当转换的符号组包括具有特定符号的符号组时，该符号组基于该特定符号被划分成多个符号组。 符号组匹配，并且检测到封闭区域的区域。 对相同形状的封闭区域的符号组进行分类，并对相同区域的封闭区域的符号组进行分类。 从分类的符号组中分类具有相同形状和面积的封闭区域的子的封闭区域的符号组，构建实体模型。
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8.发明授权Drawing candidate line segments extraction system, drawing candidate line segments extraction method, solid model synthesis system, and solid model synthesis method 失效绘制候选线段提取系统，绘制候选线段提取方法，实体模型合成系统和实体模型合成方法公开(公告)号：US06400363B1
公开(公告)日：2002-06-04
申请号：US09522861
申请日：1998-05-26
申请人： Hiroshi Masuda , Hirofumi Matsuzawa
发明人： Hiroshi Masuda , Hirofumi Matsuzawa
IPC分类号： G06T1500
CPC分类号： G06T17/10
摘要： The two-dimensional coordinates of a vertex are extracted in each of a top view and front view and, if their X-coordinates are equal to each other, the combination of their Y-coordinate values is determined to be the two-dimensional coordinates of a candidate vertex in a side view. Then, candidate line segments for the side view are extracted from the line segments connecting two candidate vertices, excepting not only those line segments for which no corresponding line segment exists in the top and front views, but a so those line segments for which corresponding horizontal or vertical line segments exist in the top and front views, and which a e not horizontal or vertical in the side view.
摘要翻译： 在顶视图和前视图中的每一个中提取顶点的二维坐标，并且如果它们的X坐标彼此相等，则将它们的Y坐标值的组合确定为 侧视图中的候选顶点。 然后，从连接两个候选顶点的线段提取用于侧视图的候选线段，除了不仅在顶视图和前视图中不存在对应的线段的那些线段，而且对于相应的水平线 或垂直线段存在于顶视图和正视图中，以及侧视图中不是水平或垂直的。
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公开(公告)号：USD565179S1
公开(公告)日：2008-03-25
申请号：US29244717
申请日：2005-12-14
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公开(公告)号：US06618725B1
公开(公告)日：2003-09-09
申请号：US09699661
申请日：2000-10-30
申请人： Takeshi Fukuda , Hirofumi Matsuzawa
发明人： Takeshi Fukuda , Hirofumi Matsuzawa
IPC分类号： G06F1730
CPC分类号： G06F17/30719 , Y10S707/99933 , Y10S707/99936
摘要： A text-mining system and method automatically extracts useful information from a large set of tree-structured data by generating successive sets of candidate tree-structured association patterns for comparison with the tree-structured data. The number of times is counted that each of the candidate association patterns matches with a tree in the set of tree-structured data in order to determine which of the candidate association patterns frequently matches with a tree in the data set. Each successive set of candidate association patterns is generated from the frequent association patterns determined from the previous set of candidate association patterns.
摘要翻译： 文本挖掘系统和方法通过生成连续的候选树结构关联模式集合来与大量树结构数据自动提取有用信息，以便与树结构数据进行比较。 计算次数，使得每个候选关联模式与树结构数据集合中的树匹配，以便确定候选关联模式中的哪一个频繁地与数据集中的树匹配。 每个连续的一组候选关联模式是从从先前的一组候选关联模式确定的频繁关联模式生成的。
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