ANOMALY AGGREGATION METHOD
PROBLEM TO BE SOLVED: To provide a method for identifying anomalous values. SOLUTION: A method for aggregating anomalous values comprises obtaining operational data from at least one machine and calculating at least one exceptional anomaly score from the acquired operational data. The exceptional an...
Gespeichert in:
Hauptverfasser: | , , , , |
---|---|
Format: | Patent |
Sprache: | 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 | SENTURK-DOGANAKSOY DENIZ TRAVALY ANDREW J RUCIGAY RICHARD J SKOWRONEK PETER T LACOMB CHRISTINA A |
description | PROBLEM TO BE SOLVED: To provide a method for identifying anomalous values. SOLUTION: A method for aggregating anomalous values comprises obtaining operational data from at least one machine and calculating at least one exceptional anomaly score from the acquired operational data. The exceptional anomaly scores can be aggregated to identify acute or chronic anomalous values. The exceptional anomaly scores can be aggregated by calculating at least one magnitude anomaly measure. The magnitude anomaly measure indicates the average value of the exceptional anomaly scores over a predetermined time width. The exceptional anomaly scores can also be aggregated by calculating at least one frequency anomaly measure. The frequency anomaly measure indicates a percentage of time width having anomalous values out of the predetermined time width. COPYRIGHT: (C)2009,JPO&INPIT |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_JP2009076056A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>JP2009076056A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_JP2009076056A3</originalsourceid><addsrcrecordid>eNrjZJBy9PP3dfSJVHB0dw9ydXcM8fT3U_B1DfHwd-FhYE1LzClO5YXS3AxKbq4hzh66qQX58anFBYnJqXmpJfFeAUYGBpYG5mYGpmaOxkQpAgBxJSC1</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>ANOMALY AGGREGATION METHOD</title><source>esp@cenet</source><creator>SENTURK-DOGANAKSOY DENIZ ; TRAVALY ANDREW J ; RUCIGAY RICHARD J ; SKOWRONEK PETER T ; LACOMB CHRISTINA A</creator><creatorcontrib>SENTURK-DOGANAKSOY DENIZ ; TRAVALY ANDREW J ; RUCIGAY RICHARD J ; SKOWRONEK PETER T ; LACOMB CHRISTINA A</creatorcontrib><description>PROBLEM TO BE SOLVED: To provide a method for identifying anomalous values. SOLUTION: A method for aggregating anomalous values comprises obtaining operational data from at least one machine and calculating at least one exceptional anomaly score from the acquired operational data. The exceptional anomaly scores can be aggregated to identify acute or chronic anomalous values. The exceptional anomaly scores can be aggregated by calculating at least one magnitude anomaly measure. The magnitude anomaly measure indicates the average value of the exceptional anomaly scores over a predetermined time width. The exceptional anomaly scores can also be aggregated by calculating at least one frequency anomaly measure. The frequency anomaly measure indicates a percentage of time width having anomalous values out of the predetermined time width. COPYRIGHT: (C)2009,JPO&INPIT</description><language>eng</language><subject>CONTROL OR REGULATING SYSTEMS IN GENERAL ; CONTROLLING ; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS ; MEASURING ; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS ; PHYSICS ; REGULATING ; TESTING ; TESTING STATIC OR DYNAMIC BALANCE OF MACHINES ORSTRUCTURES ; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR</subject><creationdate>2009</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&date=20090409&DB=EPODOC&CC=JP&NR=2009076056A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20090409&DB=EPODOC&CC=JP&NR=2009076056A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>SENTURK-DOGANAKSOY DENIZ</creatorcontrib><creatorcontrib>TRAVALY ANDREW J</creatorcontrib><creatorcontrib>RUCIGAY RICHARD J</creatorcontrib><creatorcontrib>SKOWRONEK PETER T</creatorcontrib><creatorcontrib>LACOMB CHRISTINA A</creatorcontrib><title>ANOMALY AGGREGATION METHOD</title><description>PROBLEM TO BE SOLVED: To provide a method for identifying anomalous values. SOLUTION: A method for aggregating anomalous values comprises obtaining operational data from at least one machine and calculating at least one exceptional anomaly score from the acquired operational data. The exceptional anomaly scores can be aggregated to identify acute or chronic anomalous values. The exceptional anomaly scores can be aggregated by calculating at least one magnitude anomaly measure. The magnitude anomaly measure indicates the average value of the exceptional anomaly scores over a predetermined time width. The exceptional anomaly scores can also be aggregated by calculating at least one frequency anomaly measure. The frequency anomaly measure indicates a percentage of time width having anomalous values out of the predetermined time width. COPYRIGHT: (C)2009,JPO&INPIT</description><subject>CONTROL OR REGULATING SYSTEMS IN GENERAL</subject><subject>CONTROLLING</subject><subject>FUNCTIONAL ELEMENTS OF SUCH SYSTEMS</subject><subject>MEASURING</subject><subject>MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS</subject><subject>PHYSICS</subject><subject>REGULATING</subject><subject>TESTING</subject><subject>TESTING STATIC OR DYNAMIC BALANCE OF MACHINES ORSTRUCTURES</subject><subject>TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2009</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZJBy9PP3dfSJVHB0dw9ydXcM8fT3U_B1DfHwd-FhYE1LzClO5YXS3AxKbq4hzh66qQX58anFBYnJqXmpJfFeAUYGBpYG5mYGpmaOxkQpAgBxJSC1</recordid><startdate>20090409</startdate><enddate>20090409</enddate><creator>SENTURK-DOGANAKSOY DENIZ</creator><creator>TRAVALY ANDREW J</creator><creator>RUCIGAY RICHARD J</creator><creator>SKOWRONEK PETER T</creator><creator>LACOMB CHRISTINA A</creator><scope>EVB</scope></search><sort><creationdate>20090409</creationdate><title>ANOMALY AGGREGATION METHOD</title><author>SENTURK-DOGANAKSOY DENIZ ; TRAVALY ANDREW J ; RUCIGAY RICHARD J ; SKOWRONEK PETER T ; LACOMB CHRISTINA A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_JP2009076056A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2009</creationdate><topic>CONTROL OR REGULATING SYSTEMS IN GENERAL</topic><topic>CONTROLLING</topic><topic>FUNCTIONAL ELEMENTS OF SUCH SYSTEMS</topic><topic>MEASURING</topic><topic>MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS</topic><topic>PHYSICS</topic><topic>REGULATING</topic><topic>TESTING</topic><topic>TESTING STATIC OR DYNAMIC BALANCE OF MACHINES ORSTRUCTURES</topic><topic>TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>SENTURK-DOGANAKSOY DENIZ</creatorcontrib><creatorcontrib>TRAVALY ANDREW J</creatorcontrib><creatorcontrib>RUCIGAY RICHARD J</creatorcontrib><creatorcontrib>SKOWRONEK PETER T</creatorcontrib><creatorcontrib>LACOMB CHRISTINA A</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>SENTURK-DOGANAKSOY DENIZ</au><au>TRAVALY ANDREW J</au><au>RUCIGAY RICHARD J</au><au>SKOWRONEK PETER T</au><au>LACOMB CHRISTINA A</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>ANOMALY AGGREGATION METHOD</title><date>2009-04-09</date><risdate>2009</risdate><abstract>PROBLEM TO BE SOLVED: To provide a method for identifying anomalous values. SOLUTION: A method for aggregating anomalous values comprises obtaining operational data from at least one machine and calculating at least one exceptional anomaly score from the acquired operational data. The exceptional anomaly scores can be aggregated to identify acute or chronic anomalous values. The exceptional anomaly scores can be aggregated by calculating at least one magnitude anomaly measure. The magnitude anomaly measure indicates the average value of the exceptional anomaly scores over a predetermined time width. The exceptional anomaly scores can also be aggregated by calculating at least one frequency anomaly measure. The frequency anomaly measure indicates a percentage of time width having anomalous values out of the predetermined time width. COPYRIGHT: (C)2009,JPO&INPIT</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | eng |
recordid | cdi_epo_espacenet_JP2009076056A |
source | esp@cenet |
subjects | CONTROL OR REGULATING SYSTEMS IN GENERAL CONTROLLING FUNCTIONAL ELEMENTS OF SUCH SYSTEMS MEASURING MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS PHYSICS REGULATING TESTING TESTING STATIC OR DYNAMIC BALANCE OF MACHINES ORSTRUCTURES TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR |
title | ANOMALY AGGREGATION METHOD |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T16%3A46%3A01IST&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=SENTURK-DOGANAKSOY%20DENIZ&rft.date=2009-04-09&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EJP2009076056A%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 |