公开(公告)号：US20090012924A1

公开(公告)日：2009-01-08

申请号：US12206901

申请日：2008-09-09

Applicant: TSUYOSHI IDE

Inventor： TSUYOSHI IDE

IPC: G06N5/02

CPC classification number: G05B23/024 ,  B60W50/02

Abstract: A malfunction condition judgment apparatus (MCJA) that judges malfunction condition (MC) of an observed object based on a change of observed values. The MCJA acquires time series data for values of each of a plurality of variables; calculates, with respect to each of the variables, a statistic defining a probability density function of that variable at T1, based on the value of that variable at T1 and that statistic at a point of time prior to T1; calculates dissimilarity showing an extent of variation between the statistic calculated for each variable and a statistic of a criterial probability density function predetermined corresponding to that variable; and picks, out of the plurality of variables, a variable for which the calculated dissimilarity is larger than a predetermined reference value, as the variable by which MC of the observation object is detected.

Abstract translation: 根据观测值的变化来判断观察对象的故障状态（MC）的故障状态判定装置（MCJA）。 MCJA获取多个变量中的每一个的值的时间序列数据; 基于T1处的该变量的值和在T1之前的时间点的统计量，针对每个变量计算在T1处定义该变量的概率密度函数的统计量; 计算显示针对每个变量计算的统计量与对应于该变量的预定概率密度函数的统计量之间的变化程度的不相似性; 并且从所述多个变量中选出所计算的不相似度大于预定参考值的变量作为检测所述观察对象的MC的变量。

公开(公告)号：US20080243437A1

公开(公告)日：2008-10-02

申请号：US12133600

申请日：2008-06-05

Applicant: Tsuyoshi Ide ,  Shoko Suzuki

Inventor： Tsuyoshi Ide ,  Shoko Suzuki

IPC: G06F15/00

CPC classification number: G06K9/00536

Abstract: A system, method, and computer program product allowing an information processing apparatus to function as a system for detecting an anomaly in an observation target on the basis of time series data. The system includes a first generation unit, a second generation unit, a singular vector computation unit, a matrix product computation unit, an element computation unit, an eigenvector computation unit and a change degree computation unit. The change degree computation unit computes the degree of change in the observation target from the reference periods to the target periods for anomaly detection, on the basis of a linear combination of the inner products between each of the eigenvectors and a singular vector, and then outputs the computed degree as a score indicating an anomaly in the observation target.

公开(公告)号：US07346803B2

公开(公告)日：2008-03-18

申请号：US11045918

申请日：2005-01-28

Applicant: Tsuyoshi Ide ,  Kunikazu Yoda ,  Hisashi Kashima ,  Hiroaki Etoh ,  Ryo Hirade

Inventor： Tsuyoshi Ide ,  Kunikazu Yoda ,  Hisashi Kashima ,  Hiroaki Etoh ,  Ryo Hirade

IPC: G06F11/00

CPC classification number: G06F11/0709 ,  G06F11/0751 ,  H04L67/02 ,  H04L69/40

Abstract: A system such as a Web-based system in which a plurality of computers interact with each other is monitored to detect online an anomaly. Transactions of a service provided by each of a plurality of computers to another computer are collected, a matrix of correlations between nodes in the system is calculated from the transactions, and a feature vector representing a node activity balance is obtained from the matrix. The feature vector is monitored using a probability model to detect a transition to an anomalous state.

Abstract translation: 监视多个计算机彼此交互的诸如基于Web的系统的系统以在线检测异常。 收集由多台计算机中的每一台提供给另一计算机的服务的事务，从事务中计算系统中节点之间的相关矩阵，并从矩阵中获得表示节点活动余额的特征向量。 使用概率模型监测特征向量以检测到异常状态的转变。

公开(公告)号：US20060094344A1

公开(公告)日：2006-05-04

申请号：US10526874

申请日：2003-05-26

Applicant: Tsuyoshi Ide

Inventor： Tsuyoshi Ide

IPC: B24B55/02

CPC classification number: B23Q11/103 ,  B23D59/025

Abstract: There is provided means which is designed to smoothly supply mist to a rotary tool in rotation without involving a rotary shaft to which a rotary tool is attached so as to easily add the cooling/lubricating mechanism to an already installed machining device and to achieve free selection/use of a rotary tool from various commercially available rotary tools having an inside diameter not coincident with the outside diameter of the rotating shaft. A mist supply mechanism for supplying mist under pressure to a rotary tool 18 provided at a rotating shaft 10, and implementing cooling and/or lubricating of the rotary tool 18 during workpiece-machining is configured so that the rotary tool 10 is provided at a sleeve 16 of a necessary length circumferentially engaging with the rotating shaft 10; a plurality of mist supply passages 38 extending in the axial direction are provided in the sleeve 16; and the mist is supplied to the rotary tool 18 through the mist supply passage 38.

Abstract translation: 提供了一种设计用于在不涉及安装有旋转工具的旋转轴的情况下顺利地向旋转工具供给雾以便容易地将冷却/润滑机构添加到已经安装的加工装置并实现自由选择的装置 /使用具有内径与旋转轴的外径不一致的各种市售旋转工具的旋转工具。 用于在压力下向设置在旋转轴10处的旋转工具18供应雾的雾供给机构，以及在工件加工期间实现旋转工具18的冷却和/或润滑的构造，使得旋转工具10设置在套筒 16，其与旋转轴10周向地接合; 在套筒16中设置有沿轴向延伸的多个雾供给通道38; 并且雾通过雾供给通道38供给到旋转工具18。

公开(公告)号：US20060053123A1

公开(公告)日：2006-03-09

申请号：US11195456

申请日：2005-08-02

Applicant: Tsuyoshi Ide ,  Keisuke Inoue ,  Toshiyuki Yamane ,  Hironori Takeuchi

Inventor： Tsuyoshi Ide ,  Keisuke Inoue ,  Toshiyuki Yamane ,  Hironori Takeuchi

IPC: G06F17/30

CPC classification number: G06F17/30705

Abstract: Properly detects an anomaly on the basis of directional data that are obtained in sequence from a monitored object. An anomaly detecting method includes: sequentially generating directional data indicating a feature of each piece of monitored data correspondingly to the monitored data which are input in sequence; calculating the dissimilarity of the directional data to a reference vector; updating a moment of the distribution of the dissimilarity appearing when the directional data is modeled with a multi-dimensional probability distribution, based on the moment already corresponding to the monitored data; calculating a parameter determining the variance of the multi-dimensional probability distribution, on the basis of the moment; calculating a threshold of the dissimilarity on the basis of the multi-dimensional probability distribution the variance of which is determined by the parameter; and detecting an anomaly in the monitored data that corresponds to the dissimilarity if the dissimilarity exceeds the threshold.

Abstract translation: 根据从被监视对象顺序获得的方向数据，正确检测到异常。 异常检测方法包括：依次输出指示每一段被监视数据的特征的方向数据，与监控数据相对应地依次输入; 计算方向数据与参考矢量的不相似性; 基于已经对应于所监视的数据的时刻，更新当使用多维概率分布建模定向数据时出现的不相似性的分布的时刻; 根据时刻计算确定多维概率分布的方差的参数; 根据参数确定其方差的多维概率分布计算不相似性的阈值; 以及如果所述不相似度超过所述阈值，则检测所述监视数据中与所述不相似度相对应的异常。

公开(公告)号：US20050193281A1

公开(公告)日：2005-09-01

申请号：US11045918

申请日：2005-01-28

Applicant: Tsuyoshi Ide ,  Kunikazu Yoda ,  Hisashi Kashima ,  Hiroaki Etoh ,  Ryo Hirade

Inventor： Tsuyoshi Ide ,  Kunikazu Yoda ,  Hisashi Kashima ,  Hiroaki Etoh ,  Ryo Hirade

IPC: G06F11/30 ,  G06F11/00 ,  G06F11/34 ,  G06F13/00 ,  G06F15/00

CPC classification number: G06F11/0709 ,  G06F11/0751 ,  H04L67/02 ,  H04L69/40

Abstract: A system such as a Web-based system in which a plurality of computers interact with each other is monitored to detect online an anomaly. Transactions of a service provided by each of a plurality of computers to another computer are collected, a matrix of correlations between nodes in the system is calculated from the transactions, and a feature vector representing anode activity balance is obtained from the matrix. The feature vector is monitored using a probability model to detect a transition to an anomalous state.

Abstract translation: 监视多个计算机彼此交互的诸如基于Web的系统的系统以在线检测异常。 收集由多台计算机中的每一台提供给另一台计算机的服务的交易，从事务中计算系统中的节点之间的相关矩阵，并从该矩阵中获得表示阳极活动平衡的特征向量。 使用概率模型监测特征向量以检测到异常状态的转变。

公开(公告)号：US09625354B2

公开(公告)日：2017-04-18

申请号：US14345415

申请日：2012-07-27

Applicant: Tsuyoshi Ide ,  Tetsuro Morimura

Inventor： Tsuyoshi Ide ,  Tetsuro Morimura

IPC: G06F11/30 ,  G01M99/00 ,  G06Q10/00 ,  G06Q10/06 ,  G07C5/08

CPC classification number: G01M99/008 ,  G06Q10/06 ,  G06Q10/20 ,  G07C5/0808

Abstract: A method, apparatus and computer program for detecting occurrence of an anomaly. The method can exclude arbitrariness and objectively judge whether a variation of a physical quantity to be detected is abnormal or not even when an external environment is fluctuating. The method includes acquiring multiple primary measurement values from a measurement target. Further, calculating and a reference value for each of the multiple primary measurement values by optimal learning. The method further includes calculating a relationship matrix which indicates mutual relationships between the multiple secondary measurement values. Further the method includes calculating an anomaly score for each of the secondary measurement value which indicates the degree of the measurement target being abnormal. The anomaly score is calculated by comparing the secondary measurement value with a predictive value which is calculated based on the relationship matrix and other secondary measurement values.

公开(公告)号：US09329329B2

公开(公告)日：2016-05-03

申请号：US13441981

申请日：2012-04-09

Applicant: Tsuyoshi Ide ,  Takashi Imamichi ,  Hidetoshi Numata

Inventor： Tsuyoshi Ide ,  Takashi Imamichi ,  Hidetoshi Numata

IPC: F21V8/00 ,  G06T11/00 ,  G02F1/1335

CPC classification number: G02B6/0065 ,  G02B6/004 ,  G02B6/0043 ,  G02B6/0061 ,  G02F1/133606 ,  G06T11/00

Abstract: An information processing apparatus, a calculation method, a program, and a storage medium for generating a uniformly distributed discrete pattern. To calculate a spatial arrangement of a plurality of elements of a discrete pattern, the plurality of elements being arranged in a spatially discrete manner, an information processing apparatus according to the present invention determines, for each of the elements, a density in an initial position given to the element from a density distribution of the elements in a region where the elements are arranged in the discrete pattern and places, for the initial position of each of the elements, a figure having a size corresponding to the density and representing a region where the element repels other elements and a movement range of the figure. The information processing apparatus minimizes an objective function, computes an optimal solution, and outputs the optimal solutions.

公开(公告)号：US08747275B2

公开(公告)日：2014-06-10

申请号：US13146291

申请日：2010-01-26

Applicant: Hiroyuki Shioiri ,  Michitaka Tsuchida ,  Makoto Taniguchi ,  Yosuke Suzuki ,  Takahito Endo ,  Yoshitaka Murata ,  Tsuyoshi Ide

Inventor： Hiroyuki Shioiri ,  Michitaka Tsuchida ,  Makoto Taniguchi ,  Yosuke Suzuki ,  Takahito Endo ,  Yoshitaka Murata ,  Tsuyoshi Ide

IPC: F16H48/06 ,  F16H57/08 ,  F16H57/02 ,  F16H57/04 ,  F16H61/00 ,  B21D53/28 ,  B21K1/30 ,  B23P15/14

CPC classification number: F16H48/08 ,  F16H57/037 ,  F16H2048/385 ,  Y10T29/49465 ,  Y10T74/2186

Abstract: A differential device has a differential case that houses a gear group, and a ring gear that is disposed fitted to the differential case. The differential case and the ring gear are supported rotatably about a drive shaft. The ring gear is made up of a helical gear. The ring gear abuts the differential case in the axial direction of the drive shaft. The ring gear and the differential case are welded at an abutting portion of the ring gear and the differential case in the axial direction of the drive shaft.

Abstract translation: 差动装置具有容纳齿轮组的差速器壳体和配置在差速器壳体上的环形齿轮。 差速器壳体和环形齿轮围绕驱动轴可旋转地支撑。 齿圈由斜齿轮组成。 齿圈在驱动轴的轴向上抵靠差速器壳体。 环形齿轮和差速器壳体在驱动轴的轴向上在环形齿轮和差速器壳体的抵接部分处被焊接。

公开(公告)号：US08640015B2

公开(公告)日：2014-01-28

申请号：US12145067

申请日：2008-06-24

Applicant: Tsuyoshi Ide ,  Keisuke Inoue ,  Toshiyuki Yamane ,  Hironori Takeuchi

Inventor： Tsuyoshi Ide ,  Keisuke Inoue ,  Toshiyuki Yamane ,  Hironori Takeuchi

IPC: G06F11/00

CPC classification number: G06F17/30705

Abstract: Properly detects an anomaly on the basis of directional data that are obtained in sequence from a monitored object. An anomaly detecting method includes: sequentially generating directional data indicating a feature of each piece of monitored data correspondingly to the monitored data which are input in sequence; calculating the dissimilarity of the directional data to a reference vector; updating a moment of the distribution of the dissimilarity appearing when the directional data is modeled with a multi-dimensional probability distribution, based on the moment already corresponding to the monitored data; calculating a parameter determining the variance of the multi-dimensional probability distribution, on the basis of the moment; calculating a threshold of the dissimilarity on the basis of the multi-dimensional probability distribution the variance of which is determined by the parameter; and detecting an anomaly in the monitored data that corresponds to the dissimilarity if the dissimilarity exceeds the threshold.

Abstract translation: 根据从被监视对象顺序获得的方向数据，正确检测到异常。 异常检测方法包括：依次输出指示每一段被监视数据的特征的方向数据，与监控数据相对应地依次输入; 计算方向数据与参考矢量的不相似性; 基于已经对应于所监视的数据的时刻，更新当使用多维概率分布建模定向数据时出现的不相似性的分布的时刻; 根据时刻计算确定多维概率分布的方差的参数; 根据参数确定其方差的多维概率分布计算不相似性的阈值; 以及如果所述不相似度超过所述阈值，则检测所述监视数据中与所述不相似度相对应的异常。