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公开(公告)号：US10929472B2
公开(公告)日：2021-02-23
申请号：US15857148
申请日：2017-12-28
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor： Po-Yu Huang , Hong-Chi Ku , Sen-Chia Chang , Te-Ming Chen , Pei-Yi Lo
IPC: G06F16/903 , G06N5/02 , G06N20/00
Abstract: A parameter optimization method includes: a parameter search is performed on an input parameter, an output response value and a target value through a plurality of optimization schemes to search for a plurality of candidate recommended parameters. Each optimization scheme is assigned to a weight value according to user historical decision information. At least one recommended parameter is selected from the candidate recommended parameters according to the weight values. An user interface is provided for a user to input a decision instruction. A new input parameter is selected from the at least one recommended parameter according to the decision instruction; the new input parameter is inputted into the target system; and a new output response value is evaluated whether meets a specification condition. The user historical decision information is updated based on the decision instruction to adjust the weight values.
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2.发明申请公开(公告)号：US20180150038A1
公开(公告)日：2018-05-31
申请号：US15392280
申请日：2016-12-28
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor： Chung-Wei Lin , Te-Ming Chen
IPC: G05B13/04
CPC classification number: G05B13/048 , G05B13/041 , G05B19/41875 , G05B2219/32201
Abstract: A prediction model building method for a processing machine is provided. While a workpiece is manufactured by the processing machine, a machine parameter set is generated. After the workpiece is manufactured, the workpiece is measured and a workpiece quality parameter set is generated. Then, a component status is determined according to the machine parameter set. Then, a workpiece quality prediction model in the component status is built according to the machine parameter set, the workpiece quality parameter set and the component status.
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公开(公告)号：US11703457B2
公开(公告)日：2023-07-18
申请号：US17135999
申请日：2020-12-29
Applicant: Industrial Technology Research Institute
Inventor： Yi-Heng Yang , Cheng-Yang Tsai , Li-Hua Wang , Tsann-Tay Tang , Te-Ming Chen
CPC classification number: G01N21/8851 , G01S17/86 , G01S17/89 , G06N20/00 , G06T7/0002 , G06T17/00 , G01N2021/8887 , G06T2207/10028 , G06T2207/20084
Abstract: The disclosure provides a structure diagnosis system and a structure diagnosis method. The structure diagnosis system includes: a lidar scanner scanning a structure to generate a point cloud data; an input interface receiving the point cloud data; and a processor receiving the point cloud data and generating a point cloud data set. The processor executes a surface degradation and geometry abnormal coupling diagnosis module to: marking a first point cloud range of a surface degradation area according to color space value of the point cloud data set; marking a second point cloud range of a geometry abnormal area according to coordinate value of the point cloud data set; when an abnormal area includes the first point cloud range and the second point cloud range at least partially overlapping each other, determining surface degradation or geometry abnormal occurring at the abnormal area and mark the abnormal area with a predetermined mode.
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公开(公告)号：US10152879B2
公开(公告)日：2018-12-11
申请号：US14936787
申请日：2015-11-10
Applicant: Industrial Technology Research Institute
Inventor： Te-Ming Chen , Sen-Chia Chang , Chien-Liang Lai , Chi-Ting Day
Abstract: A method for monitoring a manufacturing apparatus includes collecting a control signal, of a controller and a corresponding sensing signal, of the manufacturing apparatus over a predetermined period of time; segmenting the control signal and the corresponding sensing signal to obtain at least one control step; calculating a character of the controller based on at least one of the control signal, the sensing signal, the at least one control step, or information from a user manual; generating, based on the character, a health index indicating health of the controller; and generating a warning signal when the health index exceeds a predetermined threshold.
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公开(公告)号：US11960253B2
公开(公告)日：2024-04-16
申请号：US17135349
申请日：2020-12-28
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor： Po-Yu Huang , Chun-Fang Chen , Hong-Chi Ku , Te-Ming Chen , Chien-Liang Lai , Sen-Chia Chang
CPC classification number: G05B13/042 , G06N7/01
Abstract: A system and a method for parameter optimization with adaptive search space and a user interface using the same are provided. The system includes a data acquisition unit, an adaptive adjustment unit and an optimization search unit. The data acquisition unit obtains a set of executed values of several operating parameters and a target parameter. The adaptive adjustment unit includes a parameter space transformer and a search range definer. The parameter space transformer performs a space transformation on a parameter space of the operating parameters according to the executed values. The search range definer defines a parameter search range in a transformed parameter space based on the sets of the executed values. The optimization search unit takes the parameter search range as a limiting condition and takes optimizing the target parameter as a target to search for a set of recommended values of the operating parameters.
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Patent Agency Ranking
公开(公告)号：US10579026B2
公开(公告)日：2020-03-03
申请号：US15392280
申请日：2016-12-28
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor： Chung-Wei Lin , Te-Ming Chen
IPC: G05B13/04 , G05B19/41 , G05B19/418
Abstract: A prediction model building method for a processing machine is provided. While a workpiece is manufactured by the processing machine, a machine parameter set is generated. After the workpiece is manufactured, the workpiece is measured and a workpiece quality parameter set is generated. Then, a component status is determined according to the machine parameter set. Then, a workpiece quality prediction model in the component status is built according to the machine parameter set, the workpiece quality parameter set and the component status.
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公开(公告)号：US10515725B2
公开(公告)日：2019-12-24
申请号：US14983191
申请日：2015-12-29
Applicant: Industrial Technology Research Institute
Inventor： Chung-Wei Lin , Te-Ming Chen , Chuang-Hua Chueh , Sen-Chia Chang
Abstract: A health assessment method and a health assessment device of a workpiece processing apparatus are disclosed. The health assessment method includes the following steps. Acquire a first sensing data related to the workpiece processing apparatus at an operation stage of the workpiece processing apparatus. Set the first sensing data as a substitution of a first transform model to acquire a virtual workpiece quality. Set the virtual workpiece quality as a substitution of a second transform model to acquire a first virtual apparatus health index.
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8.发明申请公开(公告)号：US20170132387A1
公开(公告)日：2017-05-11
申请号：US14983191
申请日：2015-12-29
Applicant: Industrial Technology Research Institute
Inventor： Chung-Wei Lin , Te-Ming Chen , Chuang-Hua Chueh , Sen-Chia Chang
IPC: G06F19/00
Abstract: A health assessment method and a health assessment device of a workpiece processing apparatus are disclosed. The health assessment method includes the following steps. Acquire a first sensing data related to the workpiece processing apparatus at an operation stage of the workpiece processing apparatus. Set the first sensing data as a substitution of a first transform model to acquire a virtual workpiece quality. Set the virtual workpiece quality as a substitution of a second transform model to acquire a first virtual apparatus health index.
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公开(公告)号：US11810002B2
公开(公告)日：2023-11-07
申请号：US16428531
申请日：2019-05-31
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor： Po-Yu Huang , Sen-Chia Chang , Te-Ming Chen , Hong-Chi Ku
Abstract: A dynamic prediction model establishment method, an electric device and a user interface are provided. The dynamic prediction model establishment method includes the following steps. An integration model is established by a processing device according to at least one auxiliary data set. The integration model is modified as a dynamic prediction model by the processing device according to a target data set. A sampling point recommendation information is provided by the processing device according to an error degree or an uncertainty degree between the at least one auxiliary data set and the target data set.
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公开(公告)号：US20220205926A1
公开(公告)日：2022-06-30
申请号：US17135999
申请日：2020-12-29
Applicant: Industrial Technology Research Institute
Inventor： Yi-Heng Yang , Cheng-Yang Tsai , Li-Hua Wang , Tsann-Tay Tang , Te-Ming Chen
Abstract: The disclosure provides a structure diagnosis system and a structure diagnosis method. The structure diagnosis system includes: a lidar scanner scanning a structure to generate a point cloud data; an input interface receiving the point cloud data; and a processor receiving the point cloud data and generating a point cloud data set. The processor executes a surface degradation and geometry abnormal coupling diagnosis module to: marking a first point cloud range of a surface degradation area according to color space value of the point cloud data set; marking a second point cloud range of a geometry abnormal area according to coordinate value of the point cloud data set; when an abnormal area includes the first point cloud range and the second point cloud range at least partially overlapping each other, determining surface degradation or geometry abnormal occurring at the abnormal area and mark the abnormal area with a predetermined mode.
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