MALFUNCTION DIAGNOSIS DEVICE, MALFUNCTION DIAGNOSIS METHOD, AND COMPUTER PROGRAM
PROBLEM TO BE SOLVED: To provide a malfunction diagnosis device that is able to accurately diagnose a malfunctioning component, a malfunction diagnosis method, and a computer program.SOLUTION: A malfunction diagnosis device has a model creation server 12 that acquires a sensor value of each sensor,...
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| creator | WAKAMORI TAKUMA |
| description | PROBLEM TO BE SOLVED: To provide a malfunction diagnosis device that is able to accurately diagnose a malfunctioning component, a malfunction diagnosis method, and a computer program.SOLUTION: A malfunction diagnosis device has a model creation server 12 that acquires a sensor value of each sensor, computes, on the basis of a sensor value when a component is normal and a sensor value when the component is malfunctioning from among the acquired sensor values, a degree of contribution of each of the acquired sensor values to a malfunction of each component, and creates a table indicating the relations of the sensor values with degrees of contributions to component malfunctions. In addition, for each component, the device analyzes a main constituent by using a degree of contribution, and creates a malfunction component prediction model. When a sensor value is sent from a transceiver 15, the device refers to the malfunction component prediction model and computes the malfunction probability of each component. When there is a component whose malfunction probability exceeds a threshold probability, the device displays this component on a display terminal 16.SELECTED DRAWING: Figure 1
【課題】故障した部品を的確に診断することができる故障診断装置、故障診断方法、及びコンピュータプログラムを提供する。【解決手段】各センサのセンサ値を取得し、取得したセンサ値のうち、部品が正常時のセンサ値と、故障時のセンサ値に基づき、各センサ値の各部品故障に対する寄与度を演算し、センサ値の部品故障に対する寄与度との関係を示すテーブルを作成するモデル作成サーバ１２を有する。更に、各部品について、寄与度を用いて主成分分析を行い、故障部品予測モデルを作成する。送受信機１５よりセンサ値が送信されたとき、故障部品予測モデルを参照して、各部品の故障確率を演算する。故障確率が所定の閾値確率を超える部品が存在するとき、この部品を表示用端末１６に表示する。【選択図】図１ |
| format | Patent |
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【課題】故障した部品を的確に診断することができる故障診断装置、故障診断方法、及びコンピュータプログラムを提供する。【解決手段】各センサのセンサ値を取得し、取得したセンサ値のうち、部品が正常時のセンサ値と、故障時のセンサ値に基づき、各センサ値の各部品故障に対する寄与度を演算し、センサ値の部品故障に対する寄与度との関係を示すテーブルを作成するモデル作成サーバ１２を有する。更に、各部品について、寄与度を用いて主成分分析を行い、故障部品予測モデルを作成する。送受信機１５よりセンサ値が送信されたとき、故障部品予測モデルを参照して、各部品の故障確率を演算する。故障確率が所定の閾値確率を超える部品が存在するとき、この部品を表示用端末１６に表示する。【選択図】図１</description><language>eng ; jpn</language><subject>CONTROL OR REGULATING SYSTEMS IN GENERAL ; CONTROLLING ; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS ; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS ; PHYSICS ; REGULATING</subject><creationdate>2018</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=20181108&DB=EPODOC&CC=JP&NR=2018173948A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25545,76296</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20181108&DB=EPODOC&CC=JP&NR=2018173948A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>WAKAMORI TAKUMA</creatorcontrib><title>MALFUNCTION DIAGNOSIS DEVICE, MALFUNCTION DIAGNOSIS METHOD, AND COMPUTER PROGRAM</title><description>PROBLEM TO BE SOLVED: To provide a malfunction diagnosis device that is able to accurately diagnose a malfunctioning component, a malfunction diagnosis method, and a computer program.SOLUTION: A malfunction diagnosis device has a model creation server 12 that acquires a sensor value of each sensor, computes, on the basis of a sensor value when a component is normal and a sensor value when the component is malfunctioning from among the acquired sensor values, a degree of contribution of each of the acquired sensor values to a malfunction of each component, and creates a table indicating the relations of the sensor values with degrees of contributions to component malfunctions. In addition, for each component, the device analyzes a main constituent by using a degree of contribution, and creates a malfunction component prediction model. When a sensor value is sent from a transceiver 15, the device refers to the malfunction component prediction model and computes the malfunction probability of each component. When there is a component whose malfunction probability exceeds a threshold probability, the device displays this component on a display terminal 16.SELECTED DRAWING: Figure 1
【課題】故障した部品を的確に診断することができる故障診断装置、故障診断方法、及びコンピュータプログラムを提供する。【解決手段】各センサのセンサ値を取得し、取得したセンサ値のうち、部品が正常時のセンサ値と、故障時のセンサ値に基づき、各センサ値の各部品故障に対する寄与度を演算し、センサ値の部品故障に対する寄与度との関係を示すテーブルを作成するモデル作成サーバ１２を有する。更に、各部品について、寄与度を用いて主成分分析を行い、故障部品予測モデルを作成する。送受信機１５よりセンサ値が送信されたとき、故障部品予測モデルを参照して、各部品の故障確率を演算する。故障確率が所定の閾値確率を超える部品が存在するとき、この部品を表示用端末１６に表示する。【選択図】図１</description><subject>CONTROL OR REGULATING SYSTEMS IN GENERAL</subject><subject>CONTROLLING</subject><subject>FUNCTIONAL ELEMENTS OF SUCH SYSTEMS</subject><subject>MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS</subject><subject>PHYSICS</subject><subject>REGULATING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2018</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZAjwdfRxC_VzDvH091Nw8XR09_MP9gxWcHEN83R21VHALuvrGuLh76Kj4OjnouDs7xsQGuIapBAQ5O8e5OjLw8CalphTnMoLpbkZlNxcQ5w9dFML8uNTiwsSk1PzUkvivQKMDAwtDM2NLU0sHI2JUgQA3gsvpg</recordid><startdate>20181108</startdate><enddate>20181108</enddate><creator>WAKAMORI TAKUMA</creator><scope>EVB</scope></search><sort><creationdate>20181108</creationdate><title>MALFUNCTION DIAGNOSIS DEVICE, MALFUNCTION DIAGNOSIS METHOD, AND COMPUTER PROGRAM</title><author>WAKAMORI TAKUMA</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_JP2018173948A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; jpn</language><creationdate>2018</creationdate><topic>CONTROL OR REGULATING SYSTEMS IN GENERAL</topic><topic>CONTROLLING</topic><topic>FUNCTIONAL ELEMENTS OF SUCH SYSTEMS</topic><topic>MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS</topic><topic>PHYSICS</topic><topic>REGULATING</topic><toplevel>online_resources</toplevel><creatorcontrib>WAKAMORI TAKUMA</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>WAKAMORI TAKUMA</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>MALFUNCTION DIAGNOSIS DEVICE, MALFUNCTION DIAGNOSIS METHOD, AND COMPUTER PROGRAM</title><date>2018-11-08</date><risdate>2018</risdate><abstract>PROBLEM TO BE SOLVED: To provide a malfunction diagnosis device that is able to accurately diagnose a malfunctioning component, a malfunction diagnosis method, and a computer program.SOLUTION: A malfunction diagnosis device has a model creation server 12 that acquires a sensor value of each sensor, computes, on the basis of a sensor value when a component is normal and a sensor value when the component is malfunctioning from among the acquired sensor values, a degree of contribution of each of the acquired sensor values to a malfunction of each component, and creates a table indicating the relations of the sensor values with degrees of contributions to component malfunctions. In addition, for each component, the device analyzes a main constituent by using a degree of contribution, and creates a malfunction component prediction model. When a sensor value is sent from a transceiver 15, the device refers to the malfunction component prediction model and computes the malfunction probability of each component. When there is a component whose malfunction probability exceeds a threshold probability, the device displays this component on a display terminal 16.SELECTED DRAWING: Figure 1
【課題】故障した部品を的確に診断することができる故障診断装置、故障診断方法、及びコンピュータプログラムを提供する。【解決手段】各センサのセンサ値を取得し、取得したセンサ値のうち、部品が正常時のセンサ値と、故障時のセンサ値に基づき、各センサ値の各部品故障に対する寄与度を演算し、センサ値の部品故障に対する寄与度との関係を示すテーブルを作成するモデル作成サーバ１２を有する。更に、各部品について、寄与度を用いて主成分分析を行い、故障部品予測モデルを作成する。送受信機１５よりセンサ値が送信されたとき、故障部品予測モデルを参照して、各部品の故障確率を演算する。故障確率が所定の閾値確率を超える部品が存在するとき、この部品を表示用端末１６に表示する。【選択図】図１</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CONTROL OR REGULATING SYSTEMS IN GENERAL CONTROLLING FUNCTIONAL ELEMENTS OF SUCH SYSTEMS MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS PHYSICS REGULATING |
| title | MALFUNCTION DIAGNOSIS DEVICE, MALFUNCTION DIAGNOSIS METHOD, AND COMPUTER PROGRAM |
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