A METHOD FOR ESTIMATION OF MALFUNCTION USING SOUND
A malfunction estimation method allows personnel and spare parts to be provided according to the nature of the fault by means of the estimation of malfunction using machine noise analysis. The sounds of the machines are recorded online or offline via a mobile application on the mobile devices of ope...
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Patent |
Sprache: | eng |
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 | BORUSAN MAKINA VE GUC SISTEMLERI SANAYI VE TICARET ANONIM SIRKETI |
description | A malfunction estimation method allows personnel and spare parts to be provided according to the nature of the fault by means of the estimation of malfunction using machine noise analysis. The sounds of the machines are recorded online or offline via a mobile application on the mobile devices of operators or customers. Mentioned sounds and sounds from an audio database are analyzed by fault classification algorithms and the fault information is reported to the operator or customer online or offline via mobile application or an internet platform. It is ensured that the malfunctioned part is detected with only one mobile device without the need for additional equipment. |
format | Patent |
fullrecord | <record><control><sourceid>uspatents_EFI</sourceid><recordid>TN_cdi_uspatents_applications_17606586</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>20220228949</sourcerecordid><originalsourceid>FETCH-uspatents_applications_176065863</originalsourceid><addsrcrecordid>eNrjZDByVPB1DfHwd1Fw8w9ScA0O8fR1DPH091Pwd1PwdfRxC_VzBnNDgz393BWC_UP9XHgYWNMSc4pTeaE0N4Oam2uIs4duaXFBYklqXklxfGJBQU5mcmJJZn5ecbyhuZmBmamFmTHRCgF5zSy7</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>A METHOD FOR ESTIMATION OF MALFUNCTION USING SOUND</title><source>USPTO Published Applications</source><creator>BORUSAN MAKINA VE GUC SISTEMLERI SANAYI VE TICARET ANONIM SIRKETI</creator><creatorcontrib>BORUSAN MAKINA VE GUC SISTEMLERI SANAYI VE TICARET ANONIM SIRKETI</creatorcontrib><description>A malfunction estimation method allows personnel and spare parts to be provided according to the nature of the fault by means of the estimation of malfunction using machine noise analysis. The sounds of the machines are recorded online or offline via a mobile application on the mobile devices of operators or customers. Mentioned sounds and sounds from an audio database are analyzed by fault classification algorithms and the fault information is reported to the operator or customer online or offline via mobile application or an internet platform. It is ensured that the malfunctioned part is detected with only one mobile device without the need for additional equipment.</description><language>eng</language><creationdate>2020</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/20220228949$$EPDF$$P50$$Guspatents$$Hfree_for_read</linktopdf><link.rule.ids>230,308,780,873,885,64058</link.rule.ids><linktorsrc>$$Uhttps://patentcenter.uspto.gov/applications/17606586$$EView_record_in_USPTO$$FView_record_in_$$GUSPTO$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>BORUSAN MAKINA VE GUC SISTEMLERI SANAYI VE TICARET ANONIM SIRKETI</creatorcontrib><title>A METHOD FOR ESTIMATION OF MALFUNCTION USING SOUND</title><description>A malfunction estimation method allows personnel and spare parts to be provided according to the nature of the fault by means of the estimation of malfunction using machine noise analysis. The sounds of the machines are recorded online or offline via a mobile application on the mobile devices of operators or customers. Mentioned sounds and sounds from an audio database are analyzed by fault classification algorithms and the fault information is reported to the operator or customer online or offline via mobile application or an internet platform. It is ensured that the malfunctioned part is detected with only one mobile device without the need for additional equipment.</description><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2020</creationdate><recordtype>patent</recordtype><sourceid>EFI</sourceid><recordid>eNrjZDByVPB1DfHwd1Fw8w9ScA0O8fR1DPH091Pwd1PwdfRxC_VzBnNDgz393BWC_UP9XHgYWNMSc4pTeaE0N4Oam2uIs4duaXFBYklqXklxfGJBQU5mcmJJZn5ecbyhuZmBmamFmTHRCgF5zSy7</recordid><startdate>20200516</startdate><enddate>20200516</enddate><creator>BORUSAN MAKINA VE GUC SISTEMLERI SANAYI VE TICARET ANONIM SIRKETI</creator><scope>EFI</scope></search><sort><creationdate>20200516</creationdate><title>A METHOD FOR ESTIMATION OF MALFUNCTION USING SOUND</title></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-uspatents_applications_176065863</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2020</creationdate><toplevel>online_resources</toplevel><creatorcontrib>BORUSAN MAKINA VE GUC SISTEMLERI SANAYI VE TICARET ANONIM SIRKETI</creatorcontrib><collection>USPTO Published Applications</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><aucorp>BORUSAN MAKINA VE GUC SISTEMLERI SANAYI VE TICARET ANONIM SIRKETI</aucorp><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>A METHOD FOR ESTIMATION OF MALFUNCTION USING SOUND</title><date>2020-05-16</date><risdate>2020</risdate><abstract>A malfunction estimation method allows personnel and spare parts to be provided according to the nature of the fault by means of the estimation of malfunction using machine noise analysis. The sounds of the machines are recorded online or offline via a mobile application on the mobile devices of operators or customers. Mentioned sounds and sounds from an audio database are analyzed by fault classification algorithms and the fault information is reported to the operator or customer online or offline via mobile application or an internet platform. It is ensured that the malfunctioned part is detected with only one mobile device without the need for additional equipment.</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | eng |
recordid | cdi_uspatents_applications_17606586 |
source | USPTO Published Applications |
title | A METHOD FOR ESTIMATION OF MALFUNCTION USING SOUND |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T17%3A16%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-uspatents_EFI&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.aucorp=BORUSAN%20MAKINA%20VE%20GUC%20SISTEMLERI%20SANAYI%20VE%20TICARET%20ANONIM%20SIRKETI&rft.date=2020-05-16&rft_id=info:doi/&rft_dat=%3Cuspatents_EFI%3E20220228949%3C/uspatents_EFI%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 |