-
公开(公告)号：US20210208030A1
公开(公告)日：2021-07-08
申请号：US17133145
申请日：2020-12-23
发明人： Jee Hun PARK , Hyun-Sik Kim , Sang Gun Na , Jun Woo Yoo
摘要： An apparatus for diagnosing failure of a plant is provided. The apparatus for diagnosing failure of a plant includes: a data analyzer configured to provide data analysis information, which is information requiring analysis to diagnose failure of the plant, and a comprehensive diagnostic device configured to diagnose the failure using each of an algorithm-based diagnosing technique and a domain knowledge-based diagnosing technique based on the data analysis information, and to derive comprehensive diagnosis information for the failure by summarizing results of the algorithm-based diagnosing technique and the domain knowledge-based diagnosing technique.
-
2.发明申请公开(公告)号：US20200167592A1
公开(公告)日：2020-05-28
申请号：US16572874
申请日：2019-09-17
发明人： Hyun Sik KIM , Sang Gun NA , Jee Hun PARK
摘要： An apparatus and method for generating learning data for combustion optimization is provided. The apparatus includes a data pre-processor to collect raw data including currently measured real-time data for boiler combustion and previously measured past data for the boiler combustion, and to perform pre-processing for the collected raw data, and a data analyzer to derive learning data from the raw data by analyzing the raw data. An apparatus for combustion optimization includes a management layer to collect currently measured real-time data for boiler combustion, to determine whether to perform combustion optimization, and to determine whether to tune a combustion model and a combustion controller; a data layer to derive learning data from raw data; a model layer to generate the combustion model/controller through the learning data; and an optimal layer to calculate a target value for combustion optimization and to output a control signal according to the calculated target value.
-
公开(公告)号：US20180136641A1
公开(公告)日：2018-05-17
申请号：US15813946
申请日：2017-11-15
发明人： Jee Hun PARK , Hyun Sik KIM
CPC分类号： G05B23/0289 , G05B23/0221 , G05B23/0286 , G06F17/5086 , G06N20/00 , G06N20/20
摘要： A fault signal recovery apparatus and method for collecting signals obtained in a plant and recovering normal signals from fault signals contained in the measured signals through a machine learning method includes receiving an input X including only normal signals for a plurality of tags, an input U including fault signals for a first group of tags among the plurality of tags and normal signals for a second group of tags, and an input S having information on the first group of tags including fault signals, and estimating and recovering normal signals for the first group of tags including fault signals based on feature information F, recovery model information P, and ensemble learning.
-
公开(公告)号：US20190294988A1
公开(公告)日：2019-09-26
申请号：US16262575
申请日：2019-01-30
发明人： Hyun Sik KIM , Jee Hun PARK
摘要： A system and method predict whether a plant is abnormal by modeling a relationship equation between tags based on a correlation between the tags, applicable even if modeling is executed without understanding a target to abnormality determination, and implements internal early alarm logic based on a difference between measured data and predicted data over time. The plant abnormality prediction system includes a modeling information output unit including a pre-processing part for pre-processing past data received for a plurality of tags, a correlation analysis part for receiving the pre-processed data for each tag to determine an independent tag among the plurality of tags based on correlation coefficients for any two tags, and a modeling part for generating a relationship equation between the tags by using outputs of the pre-processing part and the correlation analysis part; and a prediction unit for calculating estimated data for the tag based on the relationship equation.
-
公开(公告)号：US20190101908A1
公开(公告)日：2019-04-04
申请号：US16082267
申请日：2016-08-26
发明人： Jee Hun PARK , Young Min KIM , In Suk CHO
摘要： The present disclosure provides a plant abnormality detection system and method, which can learn the plant data collected in real time through a plurality of prediction models having different characteristics to generate a prediction value having the highest accuracy to diagnose the abnormality thereof, thus detecting accurately the abnormality of the plant to early provide alarm.The plant abnormality detection system disclosed includes a data collection unit for collecting the plant data, a learning model selection unit for selecting a plurality of models in order to predict a value of the plant data, and an abnormality alarm unit including a prediction algorithm unit having a plurality of prediction algorithms, an ensemble learning unit for outputting a final prediction data by performing ensemble learning based on the prediction data outputted from the prediction algorithm unit, and an alarm logic for determining whether or not the plant is abnormal by comparing the data collected in the data collecting unit with the final prediction data.
-
公开(公告)号：US20200175435A1
公开(公告)日：2020-06-04
申请号：US16562409
申请日：2019-09-05
发明人： Sang Gun NA , Jwa Young MAENG , Hyun Sik KIM , Jee Hun PARK
摘要： A system for controlling a boiler apparatus in a power plant to combust under optimized conditions, and a method for optimizing combustion of the boiler apparatus using the same are provided. The boiler control system may include a task manager configured to collect information on a current operating state of a boiler and determine whether to perform a combustion optimization operation for the boiler, a pre-processor configured to preprocess data collected from the boiler and supply the pre-processed data, a modeler configured to create a boiler combustion model on the basis of the pre-processed data received from the pre-processor, an optimizer configured to receive the boiler combustion model from the modeler and perform the combustion optimization operation for the boiler using the boiler combustion model to calculate an optimum control value, wherein the pre-processed data is supplied to the modeler and the optimizer by the pre-processor, and an output controller configured to receive the optimum control value from the optimizer and control an operation of the boiler by reflecting the optimum control value to a boiler control logic.
-
7.发明申请公开(公告)号：US20200175121A1
公开(公告)日：2020-06-04
申请号：US16566967
申请日：2019-09-11
发明人： Jae Hyeon PARK , Sang Jin LEE , Hyun Sik KIM , Jee Hun PARK
IPC分类号： G06F17/50
摘要： A system and method for predicting an analytical abnormality are provided. The method for predicting an analytical abnormality may include generating a signal generation model and an analysis model for a design object based on first analysis data, applying a signal generated by the signal generation model to the analysis model based on second analysis data to calculate one or more estimated values, comparing the estimated values and the second analysis data to generate a plurality of early warning information, and determining whether to output an early warning based on whether the plurality of early warning information satisfy a preset condition.
-
公开(公告)号：US20200166206A1
公开(公告)日：2020-05-28
申请号：US16574087
申请日：2019-09-18
发明人： Jee Hun PARK , Sang Gun NA , Hyun Sik KIM , Jwa Young MAENG
摘要： An apparatus for combustion optimization is provided. The apparatus for combustion optimization includes a management layer configured to collect currently measured real-time data for boiler combustion, and to determine whether to perform combustion optimization and whether to tune a combustion model and a combustion controller by analyzing the collected real-time data, a data layer configured to derive learning data necessary for designing the combustion model and the combustion controller from the real-time data and previously measured past data for the boiler combustion, a model layer configured to generate the combustion model and the combustion controller through the learning data, and an optimal layer configured to calculate a target value for the combustion optimization by using the combustion model and the combustion controller, and to output a control signal according to the calculated target value.
-
公开(公告)号：US20210199024A1
公开(公告)日：2021-07-01
申请号：US16080304
申请日：2017-07-26
发明人： Hyun Sik KIM , Jee Hun PARK , Seung Gyun CHEONG
摘要： The present disclosure relates to an exhaust gas cooling device and method, and more particularly, to a device and method for installing an exhaust gas cooling device on the upper end of a duct of a heat recovery steam generator to cheaply cool the exhaust gas without occupying an additional dedicated area.
An object of the present disclosure is to reduce the costs using a cheap cooling device in the cooling path for cooling the exhaust gas.
In one aspect, the exhaust gas cooling device includes an exhaust gas cooling unit located on the upper end of a duct of a heat recovery steam generator connected with a gas turbine and for cooling the exhaust gas discharged from the gas turbine; and a control unit for controlling the exhaust gas cooling unit to lower the increase rate of the energy of the exhaust gas flowed into the heat recovery steam generator through the duct.-
公开(公告)号：US20200166205A1
公开(公告)日：2020-05-28
申请号：US16574077
申请日：2019-09-17
发明人： Sang Gun NA , Jwa Young MAENG , Jee Hun PARK
摘要： An apparatus for managing combustion optimization is provided. The apparatus for managing combustion optimization includes a data collector configured to collect real-time data that is measured in real time from a boiler system including a boiler and a combustion controller configured to control combustion of the boiler, a management configured to determine whether to perform combustion optimization of the boiler based on the real-time data, and an executor configured to generate a control command and transmit the control command to the combustion controller to perform the combustion optimization of the boiler in response to determining that the combustion optimization of the boiler is possible.
-
-
-
-
-
-
-
-
-
搜索结果
12 条记录 (耗时 0.015 秒)