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公开(公告)号:US10042357B2
公开(公告)日:2018-08-07
申请号:US14061725
申请日:2013-10-23
Applicant: Applied Materials, Inc.
Inventor: James R. Moyne , Jimmy Iskandar , Bradley D. Schulze
IPC: G06F11/30 , G21C17/00 , G05B23/02 , G05B19/418
Abstract: Described herein are methods and systems for providing a user interface to indicate health of a tool in a manufacturing facility. A method may include receiving, via a user interface, user selection of fault detection data pertaining to a tool in a manufacturing facility, obtaining health abnormality indicators of the tool using the fault detection data, and presenting the health abnormality indicators of the tool in the user interface.
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公开(公告)号:US09697470B2
公开(公告)日:2017-07-04
申请号:US14254811
申请日:2014-04-16
Applicant: Applied Materials, Inc.
Inventor: Jimmy Iskandar , Bradley D. Schulze , Kommisetti Subrahmanyam , Haw-Jyue Luo
CPC classification number: G06N5/048
Abstract: A method is provided for determining one or more causes for variability in data. The method includes selecting a first range of a multivariate model output data on a user interface and employing a computing system, operatively coupled to the user interface, to determine one or more process data causing a variability of the multivariate model output data in the first range when compared to a second range of the multivariate model output data. At least some of the process data includes data derived from a physical measurement of a process variable.
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公开(公告)号:US10303812B2
公开(公告)日:2019-05-28
申请号:US15231487
申请日:2016-08-08
Applicant: Applied Materials, Inc.
Inventor: Jimmy Iskandar , Chong Jiang , Michael D. Armacost , Bradley D. Schulze
Abstract: Embodiments presented herein provide techniques for predicting the topography of a product produced from a manufacturing process. One embodiment includes generating a plurality of prediction models. Each of the plurality of prediction models corresponds to a respective one of a plurality of positional coordinates of a product produced from a manufacturing process. The method also includes receiving a set of user-specified input parameters to apply to the manufacturing control process. The method further includes generating a graphical representation of a topography map for the product for the user-specified of input parameters based on the plurality of prediction models.
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公开(公告)号:US11378426B2
公开(公告)日:2022-07-05
申请号:US14735469
申请日:2015-06-10
Applicant: APPLIED MATERIALS, INC.
Inventor: Bradley D. Schulze , Michael D. Armacost
Abstract: Methods and systems for automated monitoring of sensors associated with a tool used in a manufacturing process are described. Sensor health may be evaluated based on the sensor's actual responses to set point changes. Rather than interrupt operation of the tool to determine whether one or more sensors are behaving in a predictable manner over an applicable range of operating conditions, pairs of set point values and sensor responses may be collected during the manufacturing process and stored in a time-indexed manner. A virtual model may be created for each sensor using selected ones of the indexed pairs and represented as points in an orthogonal coordinate system to identify a predictable operating region corresponding to the operating range. If a sensor response to a set point change, reflected in a stored, time indexed pair, is non-linear or offset relative to the predictable operating region, an alarm may be generated.
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公开(公告)号:US11054815B2
公开(公告)日:2021-07-06
申请号:US15457016
申请日:2017-03-13
Applicant: Applied Materials, Inc.
Inventor: Bradley D. Schulze , Suketu Arun Parikh , Jimmy Iskandar , Jigar Bhadriklal Patel
IPC: G05B23/02
Abstract: Techniques are provided for classifying runs of a recipe within a manufacturing environment. Embodiments monitor a plurality of runs of a recipe to collect runtime data from a plurality of sensors within a manufacturing environment. Qualitative data describing each semiconductor devices produced by the plurality of runs is determined. Embodiments characterize each run into a respective group, based on an analysis of the qualitative data, and generate a data model based on the collected runtime data. A multivariate analysis of additional runtime data collected during at least one subsequent run of the recipe is performed to classify the at least one subsequent run into a first group. Upon classifying the at least one subsequent run, embodiments output for display an interface depicting a ranking sensor types based on the additional runtime data and the description of relative importance of each sensor type for the first group within the data model.
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6.
公开(公告)号:US20140114611A1
公开(公告)日:2014-04-24
申请号:US14061725
申请日:2013-10-23
Applicant: Applied Materials, Inc.
Inventor: James R. Moyne , Jimmy Iskandar , Bradley D. Schulze
IPC: G01M99/00
CPC classification number: G05B23/0272 , G05B19/4184 , G05B23/024 , Y02P90/14
Abstract: Described herein are methods and systems for providing a user interface to indicate health of a tool in a manufacturing facility. A method may include receiving, via a user interface, user selection of fault detection data pertaining to a tool in a manufacturing facility, obtaining health abnormality indicators of the tool using the fault detection data, and presenting the health abnormality indicators of the tool in the user interface.
Abstract translation: 这里描述了用于提供用户界面以指示制造设施中的工具的健康的方法和系统。 一种方法可以包括:经由用户界面接收用户选择与制造设备中的工具相关的故障检测数据,使用故障检测数据获取所述工具的健康异常指示,以及将所述工具的健康异常指示符呈现在 用户界面。
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