Fault diagnosis system and method based on ensemble learning and computer readable medium

The present invention is a fault diagnosis system based on ensemble learning and a method thereof. A host performance degradation evaluation device uses a first ensemble learning method to estimate whether the host resources are degraded or not based on a basic monitoring characteristic data of mult...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: KAO, HAO-YU, HSU, CHANG-PING, HUANG, CHIH-MENG, TSAI, YI-LIN, WANG, YAN-YIH
Format: Patent
Sprache:chi ; eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator KAO, HAO-YU
HSU, CHANG-PING
HUANG, CHIH-MENG
TSAI, YI-LIN
WANG, YAN-YIH
description The present invention is a fault diagnosis system based on ensemble learning and a method thereof. A host performance degradation evaluation device uses a first ensemble learning method to estimate whether the host resources are degraded or not based on a basic monitoring characteristic data of multiple types of hosts. A digital convergence service fault locating device uses a second ensemble learning method to estimate the end-to-end fault estimation area based on an end-to-end characteristic data of multiple convergence services. An intelligent estimation and management device generates intelligent estimation and management information based on the output data of the host performance degradation evaluation device and the digital convergence service fault locating device. The present invention performs ensemble learning calculations after deep learning calculation devices suitable for respective data source styles, and produces estimated data including service host performance evaluation and full path area f
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_TW202223690A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>TW202223690A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_TW202223690A3</originalsourceid><addsrcrecordid>eNqNykEKwjAQRuFsXIh6h_EAQklBcCnF4gEK4qpMm98aSCalkyy8vSgewNVbvG9t7i2XkMl5niSpV9KXZkRicRSRn8nRwApHSQiiiEMABfAiXqavGlOcS8ZCC9jxZ0c4X-LWrB4cFLtfN2bfXrrmesCceujMIwS57262stbWx1N1rv8xb-EKOsg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Fault diagnosis system and method based on ensemble learning and computer readable medium</title><source>esp@cenet</source><creator>KAO, HAO-YU ; HSU, CHANG-PING ; HUANG, CHIH-MENG ; TSAI, YI-LIN ; WANG, YAN-YIH</creator><creatorcontrib>KAO, HAO-YU ; HSU, CHANG-PING ; HUANG, CHIH-MENG ; TSAI, YI-LIN ; WANG, YAN-YIH</creatorcontrib><description>The present invention is a fault diagnosis system based on ensemble learning and a method thereof. A host performance degradation evaluation device uses a first ensemble learning method to estimate whether the host resources are degraded or not based on a basic monitoring characteristic data of multiple types of hosts. A digital convergence service fault locating device uses a second ensemble learning method to estimate the end-to-end fault estimation area based on an end-to-end characteristic data of multiple convergence services. An intelligent estimation and management device generates intelligent estimation and management information based on the output data of the host performance degradation evaluation device and the digital convergence service fault locating device. The present invention performs ensemble learning calculations after deep learning calculation devices suitable for respective data source styles, and produces estimated data including service host performance evaluation and full path area f</description><language>chi ; eng</language><subject>CALCULATING ; 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</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20220616&amp;DB=EPODOC&amp;CC=TW&amp;NR=202223690A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20220616&amp;DB=EPODOC&amp;CC=TW&amp;NR=202223690A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>KAO, HAO-YU</creatorcontrib><creatorcontrib>HSU, CHANG-PING</creatorcontrib><creatorcontrib>HUANG, CHIH-MENG</creatorcontrib><creatorcontrib>TSAI, YI-LIN</creatorcontrib><creatorcontrib>WANG, YAN-YIH</creatorcontrib><title>Fault diagnosis system and method based on ensemble learning and computer readable medium</title><description>The present invention is a fault diagnosis system based on ensemble learning and a method thereof. A host performance degradation evaluation device uses a first ensemble learning method to estimate whether the host resources are degraded or not based on a basic monitoring characteristic data of multiple types of hosts. A digital convergence service fault locating device uses a second ensemble learning method to estimate the end-to-end fault estimation area based on an end-to-end characteristic data of multiple convergence services. An intelligent estimation and management device generates intelligent estimation and management information based on the output data of the host performance degradation evaluation device and the digital convergence service fault locating device. The present invention performs ensemble learning calculations after deep learning calculation devices suitable for respective data source styles, and produces estimated data including service host performance evaluation and full path area f</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNykEKwjAQRuFsXIh6h_EAQklBcCnF4gEK4qpMm98aSCalkyy8vSgewNVbvG9t7i2XkMl5niSpV9KXZkRicRSRn8nRwApHSQiiiEMABfAiXqavGlOcS8ZCC9jxZ0c4X-LWrB4cFLtfN2bfXrrmesCceujMIwS57262stbWx1N1rv8xb-EKOsg</recordid><startdate>20220616</startdate><enddate>20220616</enddate><creator>KAO, HAO-YU</creator><creator>HSU, CHANG-PING</creator><creator>HUANG, CHIH-MENG</creator><creator>TSAI, YI-LIN</creator><creator>WANG, YAN-YIH</creator><scope>EVB</scope></search><sort><creationdate>20220616</creationdate><title>Fault diagnosis system and method based on ensemble learning and computer readable medium</title><author>KAO, HAO-YU ; HSU, CHANG-PING ; HUANG, CHIH-MENG ; TSAI, YI-LIN ; WANG, YAN-YIH</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_TW202223690A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>KAO, HAO-YU</creatorcontrib><creatorcontrib>HSU, CHANG-PING</creatorcontrib><creatorcontrib>HUANG, CHIH-MENG</creatorcontrib><creatorcontrib>TSAI, YI-LIN</creatorcontrib><creatorcontrib>WANG, YAN-YIH</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>KAO, HAO-YU</au><au>HSU, CHANG-PING</au><au>HUANG, CHIH-MENG</au><au>TSAI, YI-LIN</au><au>WANG, YAN-YIH</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Fault diagnosis system and method based on ensemble learning and computer readable medium</title><date>2022-06-16</date><risdate>2022</risdate><abstract>The present invention is a fault diagnosis system based on ensemble learning and a method thereof. A host performance degradation evaluation device uses a first ensemble learning method to estimate whether the host resources are degraded or not based on a basic monitoring characteristic data of multiple types of hosts. A digital convergence service fault locating device uses a second ensemble learning method to estimate the end-to-end fault estimation area based on an end-to-end characteristic data of multiple convergence services. An intelligent estimation and management device generates intelligent estimation and management information based on the output data of the host performance degradation evaluation device and the digital convergence service fault locating device. The present invention performs ensemble learning calculations after deep learning calculation devices suitable for respective data source styles, and produces estimated data including service host performance evaluation and full path area f</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_TW202223690A
source esp@cenet
subjects CALCULATING
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
title Fault diagnosis system and method based on ensemble learning and computer readable medium
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-24T20%3A25%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=KAO,%20HAO-YU&rft.date=2022-06-16&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ETW202223690A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true