公开(公告)号：US20200151610A1

公开(公告)日：2020-05-14

申请号：US16231732

申请日：2018-12-24

Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor： Chuang-Hua CHUEH ,  Jia-Min REN ,  Po-Yu HUANG ,  Yu-Hsiuan CHANG

IPC: G06N20/20 ,  G06K9/62

Abstract: An ensemble learning prediction method includes: establishing a plurality of base predictors based on a plurality of training data; initializing a plurality of sample weights of a plurality of sample data and initializing a processing set; in each iteration round, based on the sample data and the sample weights, establishing a plurality of predictor weighting functions of the predictors in the processing set and predicting each of the sample data by each of the predictors in the processing set for identifying a prediction result; evaluating the predictor weighting functions, and selecting a respective target predictor weighting function from the predictor weighting functions established in each iteration round and selecting a target predictor from the predictors in the processing set to update the processing set and to update the sample weights of the sample data.

公开(公告)号：US20170161622A1

公开(公告)日：2017-06-08

申请号：US15239106

申请日：2016-08-17

Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor： Hsiang-Tsung KUNG ,  Jia-Min REN ,  Chuang-Hua CHUEH ,  Sen-Chia CHANG

IPC: G06N5/04 ,  G06N7/00 ,  G06N99/00

CPC classification number: G06N5/04 ,  G05B23/0283 ,  G06N7/005 ,  G06N99/005

Abstract: A system and a method for predicting a remaining useful life (RUL) of a component of an equipment are provided. The system for predicting the RUL of the component of the equipment includes a data acquisition unit, a feature capturing unit, a mapping function generating unit, a similarity analyzing unit and a RUL calculating unit. The feature capturing unit obtains an estimation feature according to a real time sensing record, and obtains a plurality of training features according to a set of history sensing records. The similarity analyzing unit obtains k similar features which are similar to the estimation feature according to the training features. The RUL calculating unit obtains at least one of k predicting information via a mapping function according to the k similar features and calculates an estimation RUL according to at least one predicting value.