公开(公告)号：US20180136617A1

公开(公告)日：2018-05-17

申请号：US15806999

申请日：2017-11-08

Applicant: General Electric Company

Inventor： Rui XU ,  Yunwen XU ,  Weizhong YAN

IPC: G05B13/02

CPC classification number: G05B13/0265 ,  G05B13/027 ,  G05B17/02

Abstract: A method of continuously modeling industrial asset performance includes an initial model build block creating a first model based on a combination of an industrial asset historical data, configuration data and training data, filtering at least one of the historical data, configuration data, and training data, and a continuous learning block predicting performance of one or more members of an ensemble of models by evaluating a result of the one or more ensemble members to a predetermined threshold. A model application block pushing a selected model ensemble member to a performance diagnostic center, selecting the member based on comparing model ensemble members to a fielded modeling algorithm. A system and computer-readable medium are disclosed.

公开(公告)号：US20170286854A1

公开(公告)日：2017-10-05

申请号：US15085491

申请日：2016-03-30

Applicant: General Electric Company

Inventor： Paul Alex ARDIS ,  Yunwen XU

IPC: G06N7/00 ,  G06N5/02

CPC classification number: G06N5/045 ,  G06F11/008 ,  G06F11/3447 ,  G06F17/50 ,  G06N3/126

Abstract: A method for automatic revision of a predictive damage model that assess a physical system and provides maintenance recommendations to a user platform includes evaluating the predictive model at periodic intervals, identifying alternate parameters for the model that satisfy real-world physical constraints, determining an impact of the alternate parameters on an accuracy of the predictive model, forecasting performance of a predictive model modified with the alternate parameters, optimizing data driven terms of the predictive model by deploying the alternate parameters, and providing updated maintenance recommendations to a user platform display based on the modified predictive model. The method can also include comparing the one or more maintenance recommendations to actual maintenance experiences on the physical system, and also performing a heuristic parameter search for the data-driven terms. A non-transitory computer readable medium containing executable instructions and a system for implementing the method are also disclosed.