Systems and methods for enhanced machine learning using hierarchical prediction and compound thresholds

A computer device is programmed to receive a plurality of real-time datasets from one or more sensors associated with a tool to be analyzed, calibrate the plurality of real-time datasets, generate a time slide window for each real-time dataset of the plurality of real-time datasets, generate a rando...

Full description

Saved in:
Bibliographic Details
Main Authors CHEN, KUANG-HSIN, CHEN, GUANG-SHIN, HUNG, TSZ-EN
Format Patent
LanguageChinese
English
Published 16.06.2022
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
Online AccessGet full text

Cover

More Information
Summary:A computer device is programmed to receive a plurality of real-time datasets from one or more sensors associated with a tool to be analyzed, calibrate the plurality of real-time datasets, generate a time slide window for each real-time dataset of the plurality of real-time datasets, generate a random probability distribution curve, compare the random probability distribution curve to each time slide window to determine if the time slide window includes anomaly data, and generate prediction results based on the comparison.
Bibliography:Application Number: TW202110141916