公开(公告)号：WO2017083240A1

公开(公告)日：2017-05-18

申请号：PCT/US2016/060882

申请日：2016-11-08

Applicant: DIVERSEY, INC.

Inventor： HOLDEN, David John ,  MILLER, Erik Gordon ,  COCKING, Andrew John ,  VOORDEN, Bert-ten ,  STEED, Michael A. ,  WALDOWSKI, Timothy James ,  GOEL, Karnika

IPC: G06F11/30

CPC classification number: G06F11/30 ,  G05B23/0232 ,  G05B23/0283

Abstract: Methods, computer program products, and systems are provided herein for providing predictive maintenance for an industrial cleaning device. An example method includes receiving operational data indicating operational parameters associated with the industrial cleaning device during operation thereof. The method further includes identifying a trend in the operational data. The method further includes determining that a particular fault event associated with the industrial cleaning device is likely to occur within a particular time frame. The method further includes providing an alert indicating that the particular fault event is likely to occur within the particular time frame.

Abstract translation: 本文提供了用于为工业清洁设备提供预测性维护的方法，计算机程序产品和系统。 示例性方法包括接收指示在其工作期间与工业清洁设备相关联的操作参数的操作数据。 该方法还包括识别操作数据中的趋势。 该方法还包括确定与工业清洁设备相关联的特定故障事件可能在特定时间范围内发生。 该方法还包括提供指示特定故障事件可能在特定时间范围内发生的警报。

公开(公告)号：WO2016103310A1

公开(公告)日：2016-06-30

申请号：PCT/JP2014/006514

申请日：2014-12-26

Applicant: 川崎重工業株式会社

Inventor： 中矢　敦史 ,  岡田　拓之 ,  吉田　雅也

IPC: H01L21/677 ,  B25J19/06 ,  G05B9/02 ,  G05B19/18 ,  G05B23/02 ,  H02P29/00

CPC classification number: B25J19/06 ,  B25J9/1674 ,  G05B9/02 ,  G05B19/18 ,  G05B19/406 ,  G05B23/0232 ,  H01L21/67288 ,  H01L21/67742 ,  H01L21/68707 ,  H02P27/04 ,  H02P29/00

Abstract: 制御装置(3)は、予め設定された閾値を劣化指標パラメータの値が超えると搬送機構(5)を停止させ、且つ、劣化指標パラメータの値の時系列の変化パターンに基づいて、劣化指標パラメータ値の閾値超過が搬送機構(5)の経年劣化によるものであるか否かを判定し、劣化指標パラメータ値の閾値超過が搬送機構(5)の経年劣化によるものであると判定した場合には、搬送機構(5)を、動作速度を低下させて動作させる制御器(33)を備える。

Abstract translation: 如果控制装置（3）具有如果劣化指数参数的值超过预设阈值则停止输送机构（5）的控制器（33），并且基于时间序列变化模式 劣化指数参数的值，劣化指标参数值是否因输送机构（5）随时间的劣化而超过阈值，以及如果由于劣化指数参数值由于随时间的劣化而被确定为超过阈值 输送机构（5），控制器使输送机构（5）以较低的运转速度运转。

公开(公告)号：WO2016094339A1

公开(公告)日：2016-06-16

申请号：PCT/US2015/064373

申请日：2015-12-08

Applicant: NEC LABORATORIES AMERICA, INC.

Inventor： YAN, Tan ,  JIANG, Guofei ,  CHEN, Haifeng ,  ZHANG, Kai

IPC: G06F11/34 ,  G06F11/00

CPC classification number: G07C3/00 ,  G05B23/0232 ,  G05B23/0283

Abstract: Systems and methods for managing components of physical systems, including decomposing raw time series by extracting an aging trend and a fluctuation term from the time series using an objective function of an optimization problem, the objective function minimizing reconstruction error and ensuring flatness of the fluctuation term over time. The optimization problem is transformed into a Quadratic Programming (QP) formulation including a monotonicity constraint and a non-negativity constraint, the constraints being merged together to reduce computational costs. An aging score and a confidence score are generated for the extracted aging trend to determine a severeness of aging for one or more components of the physical system, and the aging score and confidence score are fused to provide a fused ranking for the extracted aging trend for predicting future failures of the components.

Abstract translation: 用于管理物理系统组件的系统和方法，包括通过使用优化问题的目标函数从时间序列中提取老化趋势和波动项来分解原始时间序列，目标函数最小化重建误差并确保波动项的平坦度 随着时间的推移。 优化问题被转换成二次规划（QP）公式，包括单调约束和非负性约束，约束被合并在一起以减少计算成本。 对于提取的老化趋势产生老化评分和置信度分数，以确定物理系统的一个或多个组分的老化度，并且老化得分和置信度得分被融合，以提供提取的老化趋势的融合排名 预测组件的未来故障。

公开(公告)号：WO2010071998A1

公开(公告)日：2010-07-01

申请号：PCT/CA2009/001878

申请日：2009-12-23

Applicant: WONG, Andrew ,  LI, Chung Lam

Inventor： WONG, Andrew ,  LI, Chung Lam

IPC: G06F17/00 ,  G05B23/02 ,  G06F17/40

CPC classification number: G05B23/0232 ,  G05B23/0278 ,  G06K9/6256 ,  G06K9/6269 ,  G06N5/025 ,  G06N7/005 ,  G06N99/005

Abstract: The present invention relates to control, monitoring and automation. The present invention more specifically relates to pattern-based intelligent control, monitoring and automation. The invention performs pattern-based monitoring. It collects signal data from one or more signals. The signal data define signal data streams. It then transforms each of the signal data streams into trends. It also discovers patterns based on the trends within each signal data stream and/or across the signal data streams. The patterns are optionally used for diagnostics and root cause analysis, online plant monitoring and operation control, plant optimization, and other environments where a causal link or correlation may exist between related inputs, states and/or outputs.

Abstract translation: 本发明涉及控制，监控和自动化。 本发明更具体地涉及基于模式的智能控制，监控和自动化。 本发明执行基于模式的监视。 它从一个或多个信号收集信号数据。 信号数据定义信号数据流。 然后将每个信号数据流转换成趋势。 它还基于每个信号数据流和/或跨信号数据流的趋势发现模式。 这些模式可选地用于诊断和根本原因分析，在线工厂监控和操作控制，工厂优化以及其他在相关输入，状态和/或输出之间存在因果链接或相关性的环境。

公开(公告)号：WO2008127539A1

公开(公告)日：2008-10-23

申请号：PCT/US2008/003717

申请日：2008-03-20

Applicant: SIEMENS CORPORATE RESEARCH, INC. ,  NEUBAUER, Claus ,  YUAN, Chao

Inventor： NEUBAUER, Claus ,  YUAN, Chao

IPC: G05B23/02

CPC classification number: G05B23/0232

Abstract: Condition signals of machines are observed and one or more discontinuities are detected in the condition signals. The discontinuities in the condition signals are compensated for (e.g., by applying a shifting factor to models of the signals) and trends of the compensated condition signals are determined. The trends are used to predict future fault conditions in machines. Kalman filters comprising observation models and evolution models are used to determine the trends. Discontinuity in observed signals is detected using hypothesis testing.

Abstract translation: 观察机器的状态信号，并在条件信号中检测到一个或多个不连续性。 条件信号中的不连续性被补偿（例如，通过将移位因子应用于信号的模型），并且确定补偿状态信号的趋势。 趋势用于预测机器中未来的故障状况。 包含观察模型和进化模型的卡尔曼滤波被用于确定趋势。 使用假设检验检测观察信号的不连续性。

公开(公告)号：WO2007136528A2

公开(公告)日：2007-11-29

申请号：PCT/US2007/010915

申请日：2007-05-04

Applicant: ROSEMOUNT INC. ,  FOSS, Scot, R. ,  CURETON, Terry, A.

Inventor： FOSS, Scot, R. ,  CURETON, Terry, A.

IPC: G05B19/042 ,  G05B23/02

CPC classification number: G05B23/0232 ,  G05B2219/32226 ,  G05B2219/32234 ,  Y02P90/14 ,  Y02P90/86

Abstract: A condition of an industrial process is diagnosed based upon process variable information related to a value of a measured process variable. Histogram information is calculated based upon the determined process variable information and. time information related to a duration of time the measured process variable has the value. Condition of the industrial process is diagnosed based upon the calculated histogram information.

Abstract translation: 基于与测量的过程变量的值相关的过程变量信息来诊断工业过程的条件。 基于所确定的过程变量信息来计算直方图信息。 与测量过程变量具有该值的持续时间相关的时间信息。 基于计算的直方图信息诊断工业过程的条件。

公开(公告)号：WO2006064990A1

公开(公告)日：2006-06-22

申请号：PCT/KR2004/003329

申请日：2004-12-17

Applicant: KOREA RESEARCH INSTITUTE OF STANDARDS AND SCIENCE ,  CHEUNG, Wan-sup ,  LIM, Jong-yeon ,  CHUNG, Kwang-hwa ,  LEE, Soo-gab

Inventor： CHEUNG, Wan-sup ,  LIM, Jong-yeon ,  CHUNG, Kwang-hwa ,  LEE, Soo-gab

IPC: G06F11/30

CPC classification number: G05B23/0232 ,  F04D19/04 ,  F04D27/001

Abstract: The present invention such as active diagnostic algorithms is developed not only to realize the early detection of degraded vacuum pumps for the protection of pump failure but also to provide their predictive maintenance. According to the present invention, it is possible to find simple and effective ways to deal with technical problems arising from the large variability of the pump-by-pump operation characteristics and the multiple process conditions where pumps run under the idle operation and gas-loaded operation conditions alternately, especially in semiconductor manufacturing process.

Abstract translation: 开发了诸如主动诊断算法的本发明不仅实现了用于保护泵故障的降级真空泵的早期检测，而且提供了它们的预测维护。 根据本发明，可以找到简单有效的方式来处理由泵泵操作特性的大变化引起的技术问题以及泵在怠速运行和气体负载下运行的多个工艺条件 操作条件交替，特别是在半导体制造过程中。

公开(公告)号：WO2014151586A1

公开(公告)日：2014-09-25

申请号：PCT/US2014/026045

申请日：2014-03-13

Applicant: FISHER-ROSEMOUNT SYSTEMS, INC.

Inventor： NIXON, Mark, J. ,  COOK, Maia, B. ,  MANES, Daniel, L. ,  SMALLMAN, Harvey, S.

IPC: G05B23/02

CPC classification number: G05B23/0272 ,  G05B23/0216 ,  G05B23/0232 ,  G05B2219/32351 ,  Y02P90/26

Abstract: A process control monitoring system for a process control plant uses graphic trend symbols to assist in detecting and monitoring trends of process variables within the process control plant. A graphic display application within the process control monitoring system may implement and display each graphic trend symbol to graphically indicate or encapsulate current trend and value information of a process variable within the process control plant. The graphic display application may display the graphic trend symbol in a spatially realistic location within a graphical representation of the process control plant while maintaining the hierarchical structure or each hierarchical level of the process plant. The graphic display application may also include a zoom feature that enables a user to quickly drill down through tend data to obtain more information and to support problem identification and diagnosis tasks.

Abstract translation: 过程控制工厂的过程控制监控系统使用图形趋势符号来帮助检测和监测过程控制工厂内过程变量的趋势。 过程控制监控系统内的图形显示应用程序可以实现和显示每个图形趋势符号以图形化地指示或封装过程控制工厂内的过程变量的当前趋势和值信息。 图形显示应用程序可以在过程控制工厂的图形表示内的空间上真实的位置中显示图形趋势符号，同时保持处理工厂的层次结构或每个层级。 图形显示应用程序还可以包括缩放特征，其使得用户能够快速向下钻取倾斜数据以获得更多信息并支持问题识别和诊断任务。

公开(公告)号：WO2012172369A2

公开(公告)日：2012-12-20

申请号：PCT/GB2012/051389

申请日：2012-06-15

Applicant: ROMAX TECHNOLOGY LIMITED ,  MA, Xiaoqin ,  EDWARDS, Daniel

Inventor： MA, Xiaoqin ,  EDWARDS, Daniel

IPC: G05B23/02

CPC classification number: G01M15/14 ,  F03D17/00 ,  F03D80/50 ,  G05B23/0232 ,  Y02E10/72

Abstract: A health index can be determined from vibration signatures arising out of an analysis of vibration by using a combination of frequency analysis (e.g. crest factor, side-band factor), analyses done in time domain and so on. The health index (HI) can thus be a function of one or more of these vibration signatures and a corresponding weighting factor. Where the Health Index is low, point 1, a frequency analysis of the vibration data shows that the wind turbine, or in this case a bearing component thereof, is healthy. At point 2, the Health Index has increased, and a frequency analysis of the vibration data shows significant damage to the component. At point 3, a further analysis of the vibration data shows that the condition of the component is worsening. At point 4, the Health Index has increased further, and a frequency analysis of the vibration data shows indicates that the bearing should be replaced.

Abstract translation: 通过使用频率分析（例如波峰因子，边带因子），时域分析等的组合，可以通过振动分析产生的振动特征来确定健康指数。 因此，健康指数（HI）可以是这些振动签名中的一个或多个以及对应的加权因子的函数。 卫生指数低的地方，点1，振动数据的频率分析表明，风力涡轮机，或在这种情况下，其是轴承部件，是健康的。 在第2点，健康指数增加，振动数据的频率分析显示对组件的显着损害。 在第3点，对振动数据的进一步分析表明，部件的状况恶化。 在第4点，健康指数进一步增加，振动数据的频率分析显示轴承应予以更换。

公开(公告)号：WO2011143455A1

公开(公告)日：2011-11-17

申请号：PCT/US2011/036287

申请日：2011-05-12

Applicant: HARNISCHFEGER TECHNOLOGIES, INC. ,  RIKKOLA, Micahel ,  BHUSHAN, Anubhaw ,  GUDUR, Shashikiran ,  RABA, Brian

Inventor： RIKKOLA, Micahel ,  BHUSHAN, Anubhaw ,  GUDUR, Shashikiran ,  RABA, Brian

IPC: G06F11/30

CPC classification number: G05B23/0232 ,  G05B23/02 ,  G06F21/554 ,  G06K9/0014

Abstract: Methods for predicting a machine event are described. In one aspect, a method includes receiving data for current events for the machine, and determining whether the data for the current events is within operational limits. The method also includes, when the data for the current events is within operational limits, determining, using a predetermined model, whether an anomaly exists, and generating an alert including information on the anomaly when the anomaly exists. Systems and machine-readable media are also described.

Abstract translation: 描述了用于预测机器事件的方法。 一方面，一种方法包括接收针对机器的当前事件的数据，以及确定当前事件的数据是否在操作限度内。 该方法还包括当当前事件的数据在操作限制内时，使用预定模型确定是否存在异常，并且产生包括当异常存在时的异常信息的警报。 还描述了系统和机器可读介质。