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    • 11. 发明授权
    • Dust collecting case and cutting machine equipped therewith
    • 集尘箱和装配的切割机
    • US08764356B2
    • 2014-07-01
    • US13211189
    • 2011-08-16
    • Akihiro Suyama
    • Akihiro Suyama
    • B23Q11/00B23Q1/54B23Q1/52
    • B23Q11/0046B23Q1/525B23Q1/5406B23Q11/0053Y10T408/50Y10T409/304088Y10T409/307504Y10T409/308792Y10T409/30896
    • A dust collecting case provided on a cutting machine for cutting a target object includes an outer case member and an inner case member. The outer case member includes a bottom plate, a first side member extending from a peripheral edge of the bottom plate, and a suction port. The inner case member includes a second side member positioned inside the first side member, and an upper member provided between an upper portion of the first side member and an upper portion of the second side member such that the upper member closes from above a space surrounded by the first side member and the second side member. The second side member includes an inner peripheral surface that faces and surrounds an outer periphery of the target object. A gap is located in between an outer surface of the second side member and an inner surface of the first side member.
    • 设置在用于切割目标物体的切割机上的集尘箱包括外壳构件和内壳构件。 外壳构件包括底板,从底板的周缘延伸的第一侧构件和吸入口。 内壳构件包括位于第一侧构件内部的第二侧构件和设置在第一侧构件的上部与第二侧构件的上部之间的上构件,使得上构件从上方封闭围绕的空间 通过第一侧构件和第二侧构件。 第二侧构件包括面向并围绕目标物体的外周的内周面。 间隙位于第二侧构件的外表面和第一侧构件的内表面之间。
    • 12. 发明授权
    • Abnormality diagnosis filter generator
    • 异常诊断滤波发生​​器
    • US08676727B2
    • 2014-03-18
    • US13071064
    • 2011-03-24
    • Akihiro SuyamaMakoto SatoMinoru Yonezawa
    • Akihiro SuyamaMakoto SatoMinoru Yonezawa
    • G06F15/18
    • G05B23/0254
    • Provided is an apparatus determining values of N and K for an abnormality diagnostic logic which makes a diagnosis N times for each diagnosis target by using observation values collected therefrom, and generates a diagnosis result showing that the diagnosis target is abnormal if the diagnosis target is judged to be abnormal K or more times. A calculator calculates average false detection rate PFP, average overlooking rate PFN, bias level of false detection MFP, and bias level of overlooking MFN, based on diagnosis result data and inspection result data. A determiner calculates an optimization metric for each combination of values N and K by using the average false detection rate, the bias level of false detection, the average overlooking rate, and the bias level of overlooking, and selects a pair of N and K by which the optimization metric becomes minimum or a threshold value or less.
    • 提供了一种用于通过使用从其收集的观察值对每个诊断目标进行诊断N次的异常诊断逻辑确定N和K的值的装置,并且如果诊断目标被判断,则产生诊断结果,诊断目标是异常的 异常K次以上。 基于诊断结果数据和检查结果数据,计算器计算平均误检率PFP,平均俯视率PFN,误检偏差水平,俯仰MFN的偏差水平。 确定器通过使用平均错误检测率,错误检测的偏差水平,平均俯瞰率和俯视偏差水平来计算值N和K的每个组合的优化度量,并且通过以下方式选择一对N和K 其优化度量变得最小或阈值或更小。
    • 14. 发明申请
    • DUST COLLECTING CASE AND CUTTING MACHINE EQUIPPED THEREWITH
    • 装有集尘箱和切割机
    • US20120076601A1
    • 2012-03-29
    • US13211189
    • 2011-08-16
    • Akihiro Suyama
    • Akihiro Suyama
    • B23Q11/00
    • B23Q11/0046B23Q1/525B23Q1/5406B23Q11/0053Y10T408/50Y10T409/304088Y10T409/307504Y10T409/308792Y10T409/30896
    • A dust collecting case provided on a cutting machine for cutting a target object includes an outer case member and an inner case member. The outer case member includes a bottom plate, a first side member extending from a peripheral edge of the bottom plate, and a suction port. The inner case member includes a second side member positioned inside the first side member, and an upper member provided between an upper portion of the first side member and an upper portion of the second side member such that the upper member closes from above a space surrounded by the first side member and the second side member. The second side member includes an inner peripheral surface that faces and surrounds an outer periphery of the target object. A gap is located in between an outer surface of the second side member and an inner surface of the first side member.
    • 设置在用于切割目标物体的切割机上的集尘箱包括外壳构件和内壳构件。 外壳构件包括底板,从底板的周缘延伸的第一侧构件和吸入口。 内壳构件包括位于第一侧构件内的第二侧构件和设置在第一侧构件的上部与第二侧构件的上部之间的上构件,使得上构件从上方封闭围绕的空间 通过第一侧构件和第二侧构件。 第二侧构件包括面向并围绕目标物体的外周的内周面。 间隙位于第二侧构件的外表面和第一侧构件的内表面之间。
    • 15. 发明授权
    • Apparatus and method for detecting abnormal sign
    • 用于检测异常信号的装置和方法
    • US07548831B2
    • 2009-06-16
    • US11854919
    • 2007-09-13
    • Akihiro Suyama
    • Akihiro Suyama
    • G06F17/18G06F19/00
    • G06F11/0751G06F11/0706
    • There is provided with a method including: acquiring string data made up of a plurality of monitoring items from an apparatus to be monitored at predetermined or arbitrary time intervals; storing each acquired string data in a storage temporarily; calculating an average and variation for each of the monitoring items and correlation information indicating a correlation between the monitoring items by using each string data stored in the storage; normalizing the acquired string data by using the average and the variation of each monitoring item; calculating a distance from the correlation information for normalized string data by carrying out a computation using the normalized string data and the correlation information; and deciding whether or not there is an abnormal sign in the apparatus to be monitored depending on whether or not calculated distance falls within a confidence interval set in advance for a certain probability distribution.
    • 提供了一种方法,包括:以预定或任意时间间隔从待监视的装置中获取由多个监视项目组成的串数据; 将每个获取的字符串数据临时存储在存储器中; 通过使用存储在存储器中的每个字符串数据来计算每个监视项目的平均值和变化以及指示监视项目之间的相关性的相关信息; 通过使用每个监视项目的平均值和变化来对所获取的字符串数据进行归一化; 通过使用归一化字符串数据和相关信息进行计算,计算与归一化字符串数据的相关信息的距离; 并且根据是否计算出的距离落在针对某一概率分布预先设定的置信区间内,判断要监视的设备中是否存在异常符号。
    • 16. 发明授权
    • Anomaly detecting apparatus
    • 异常检测装置
    • US08577649B2
    • 2013-11-05
    • US13628951
    • 2012-09-27
    • Akihiro SuyamaYuuichi Hanada
    • Akihiro SuyamaYuuichi Hanada
    • G06F17/10
    • G05B23/0232G05B2219/24042
    • There is provided an apparatus, including a first storage storing first time-series data including instruction values given to first to K-th control devices and measured values from first to K-th sensors during a first period, a model optimizer, for each of combinations of two of the control devices, generating a diagnostic model instance of a predetermined target model and obtaining an optimized diagnostic model instance in which parameters of the diagnostic mode instance are identified, a second storage storing second time-series data acquired during a second period, a calculator, for each of the optimized diagnostic model instances, calculating a determination score for each of the control devices and sensors using the first and second time-series data, and a determiner determining presence or absence of an abnormality for each of the control devices and the sensors based on each determination score.
    • 提供了一种装置,包括第一存储器,其存储包括给予第一至第K控制装置的指令值的第一时间序列数据和在第一时段期间从第一至第K传感器测量的值,模型优化器, 两个控制装置的组合,生成预定目标模型的诊断模型实例并获得其中识别诊断模式实例的参数的优化诊断模型实例,存储在第二周期期间获取的第二时间序列数据的第二存储器 ,用于每个优化的诊断模型实例的计算器,使用第一和第二时间序列数据计算每个控制装置和传感器的确定得分,以及确定器,其确定每个控制的有无异常 设备和传感器基于每个确定得分。
    • 17. 发明申请
    • FAULT DETECTION APPARATUS AND FAULT DETECTION METHOD
    • 故障检测装置和故障检测方法
    • US20120323507A1
    • 2012-12-20
    • US13594340
    • 2012-08-24
    • Yoshiaki HasegawaMakoto SatoAkihiro Suyama
    • Yoshiaki HasegawaMakoto SatoAkihiro Suyama
    • G01R31/08G06F19/00
    • H02S50/10
    • According to one embodiment, an apparatus includes an first storage unit to store a value output by a communication unit, a second storage unit to store positional data indicating a place the modules, an third storage unit to store an output model indicating the relationship between a sunshine condition and an electrical output, a estimation unit to estimate a sunshine condition for each module based on the value and the output model, a forth storage unit to store the sunshine condition estimated, a correction unit to correct the sunshine condition, and a detection unit to calculate an expected electrical output for each module based on the corrected sunshine condition and the output model, and to detect a fault in the modules.
    • 根据一个实施例,一种装置包括:第一存储单元,用于存储由通信单元输出的值;第二存储单元,用于存储指示模块位置的位置数据;第三存储单元,用于存储指示a的关系的输出模型 阳光条件和电输出;估计单元,用于基于所述值和所述输出模型估计每个模块的阳光条件;存储所估计的阳光条件的第四存储单元,用于校正阳光条件的校正单元和检测 单元,根据修正的阳光条件和输出模型计算每个模块的预期电气输出,并检测模块中的故障。
    • 18. 发明申请
    • ABNORMALITY DIAGNOSIS FILTER GENERATOR
    • 异常诊断滤波器发生器
    • US20120078823A1
    • 2012-03-29
    • US13071064
    • 2011-03-24
    • Akihiro SuyamaMakoto SatoMinoru Yonezawa
    • Akihiro SuyamaMakoto SatoMinoru Yonezawa
    • G06F15/18
    • G05B23/0254
    • Provided is an apparatus determining values of N and K for an abnormality diagnostic logic which makes a diagnosis N times for each diagnosis target by using observation values collected therefrom, and generates a diagnosis result showing that the diagnosis target is abnormal if the diagnosis target is judged to be abnormal K or more times. A calculator calculates average false detection rate PFP, average overlooking rate PFN, bias level of false detection MFP, and bias level of overlooking MFN, based on diagnosis result data and inspection result data. A determiner calculates an optimization metric for each combination of values N and K by using the average false detection rate, the bias level of false detection, the average overlooking rate, and the bias level of overlooking, and selects a pair of N and K by which the optimization metric becomes minimum or a threshold value or less.
    • 提供了一种用于通过使用从其收集的观察值对每个诊断目标进行诊断N次的异常诊断逻辑确定N和K的值的装置,并且如果诊断目标被判断,则产生诊断结果,诊断目标是异常的 异常K次以上。 基于诊断结果数据和检查结果数据,计算器计算平均误检率PFP,平均俯视率PFN,误检偏差水平,俯仰MFN的偏差水平。 确定器通过使用平均错误检测率,错误检测的偏差水平,平均俯瞰率和俯视偏差水平来计算值N和K的每个组合的优化度量,并且通过以下方式选择一对N和K 其优化度量变得最小或阈值或更小。
    • 20. 发明申请
    • APPARATUS AND METHOD FOR DETECTING ABNORMAL SIGN
    • 检测异常标志的装置和方法
    • US20080198950A1
    • 2008-08-21
    • US11854919
    • 2007-09-13
    • Akihiro Suyama
    • Akihiro Suyama
    • H04L27/06H03D1/00
    • G06F11/0751G06F11/0706
    • There is provided with a method including: acquiring string data made up of a plurality of monitoring items from an apparatus to be monitored at predetermined or arbitrary time intervals; storing each acquired string data in a storage temporarily; calculating an average and variation for each of the monitoring items and correlation information indicating a correlation between the monitoring items by using each string data stored in the storage; normalizing the acquired string data by using the average and the variation of each monitoring item; calculating a distance from the correlation information for normalized string data by carrying out a computation using the normalized string data and the correlation information; and deciding whether or not there is an abnormal sign in the apparatus to be monitored depending on whether or not calculated distance falls within a confidence interval set in advance for a certain probability distribution.
    • 提供了一种方法,包括:以预定或任意时间间隔从待监视的装置中获取由多个监视项目组成的串数据; 将每个获取的字符串数据临时存储在存储器中; 通过使用存储在存储器中的每个字符串数据来计算每个监视项目的平均值和变化以及指示监视项目之间的相关性的相关信息; 通过使用每个监视项目的平均值和变化来对所获取的字符串数据进行归一化; 通过使用归一化字符串数据和相关信息进行计算,计算与归一化字符串数据的相关信息的距离; 并且根据是否计算出的距离落在针对某一概率分布预先设定的置信区间内,判断要监视的设备中是否存在异常符号。