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公开(公告)号：US10884394B2
公开(公告)日：2021-01-05
申请号：US16127545
申请日：2018-09-11
IPC分类号： G05B19/4099 , B33Y50/00
摘要： A method of calibrating an additive manufacturing machine includes obtaining a model for the additive manufacturing machine, obtaining a baseline sensor data set for a particular additive manufacturing machine, creating a machine-specific nominal fingerprint for the particular additive manufacturing machine with controllable variation for one or more process inputs, producing on the particular additive manufacturing machine a test-page based object, obtaining a current sensor data set of the test-page based object on the particular additive manufacturing machine, estimating a scaling factor or a bias for each of the one or more process inputs from the current data set, and updating a calibration file for the particular additive machine if the estimated scaling error or bias are greater than a respective predetermined tolerance. A system for implementing the method and a non-transitory computer-readable medium are also disclosed.
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公开(公告)号：US10452041B2
公开(公告)日：2019-10-22
申请号：US15476124
申请日：2017-03-31
发明人： Anup Menon , Sree Rama Raju Vetukuri , Olugbenga Anubi , Justin John , Marc Gavin Lindenmuth , Aditya Kumar , Ruijie Shi , Jonathan Thatcher
IPC分类号： G05B19/042 , F02C9/28
摘要： A dispatch optimization system leverages ambient and market forecast data as well as asset performance and parts-life models to generate recommended operating schedules for gas turbines or other power-generating plant assets that substantially maximize profit while satisfying parts-life constraints. The system generates operating profiles that balance optimal peak fire opportunities with optimal cold part-load opportunities within a maintenance interval or other operating horizon. During real-time operation of the assets, the optimization system can update the operating schedule based on actual market, ambient, and operating data. The system provides information that can assist operators in determining suitable conditions in which to cold part-load or peak-fire the assets in an optimally profitable manner without violating target life constraints.
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公开(公告)号：US20180370827A1
公开(公告)日：2018-12-27
申请号：US16103886
申请日：2018-08-14
发明人： Aditya Kumar , Anthony John Murray , Ruijie Shi , Zhaoyang Wan , Mustafa Tekin Dokucu , Vijaysai Prasad
摘要： A method of operating a waste water treatment plant (WWTP) having at least one of an aerobic digester (AD) and a membrane bioreactor (MBR) is described. The method of operating AD is comprised of monitoring and controlling AD in real-time using an online extended Kalman filter (EKF) having a online dynamic model of AD. The EKF uses real-time AD measured data, and online dynamic model of AD to update adapted model parameters and estimate model based inferred variables for AD, which are used for AD control by AD control system having supervisory and low-level control layers. The method of operating MBR is similar to that of AD. The supervisory control ensures the WWTP satisfying the effluent quality requirement while minimize the operation cost. A WWTP having at least one of an AD or MBR is disclosed. The method of operating a WWTP can be implemented using a computer.
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