QUALITY FORECASTING METHOD
PROBLEM TO BE SOLVED: To provide a quality forecasting method capable of forecasting the normal/defective quality of a casting with high accuracy by evaluating the correlation of the normal/defective quality of the casting and casting conditions from various perspectives. SOLUTION: A plurality of ca...
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| creator | SUZUKI KENTARO MACHIDA AKIHITO TONE KANJI KATAHIRA KENICHI ASAI YOSHIMICHI IWANE YOSHITADA |
| description | PROBLEM TO BE SOLVED: To provide a quality forecasting method capable of forecasting the normal/defective quality of a casting with high accuracy by evaluating the correlation of the normal/defective quality of the casting and casting conditions from various perspectives. SOLUTION: A plurality of casting conditions for every shot in die casting are collected and the normal/defective deciding results of the casting by operator are inputted. A multiple regression model having casting conditions as each explanation variable and the normal/defective deciding results as objective variable is built (STEP 30). Based on the multiple regression model, the probability (P1) that the casting is non-defective and the probability (P2) that the casting is defective are calculated, and the degree of coincidence of the forecasting deciding result and the normal/defective deciding results based on these probabilities is calculated as a forecasting accuracy (STEP 40). The deciding threshold for the magnitude (¾P1-P2¾) of the probability difference between the probability that the casting is non-defective (P1) and the probability that the casting is defective (P2) is set so that the forecasting accuracy is a predetermined value or above (STEP 50). COPYRIGHT: (C)2010,JPO&INPIT |
| format | Patent |
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SOLUTION: A plurality of casting conditions for every shot in die casting are collected and the normal/defective deciding results of the casting by operator are inputted. A multiple regression model having casting conditions as each explanation variable and the normal/defective deciding results as objective variable is built (STEP 30). Based on the multiple regression model, the probability (P1) that the casting is non-defective and the probability (P2) that the casting is defective are calculated, and the degree of coincidence of the forecasting deciding result and the normal/defective deciding results based on these probabilities is calculated as a forecasting accuracy (STEP 40). The deciding threshold for the magnitude (¾P1-P2¾) of the probability difference between the probability that the casting is non-defective (P1) and the probability that the casting is defective (P2) is set so that the forecasting accuracy is a predetermined value or above (STEP 50). 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COPYRIGHT: (C)2010,JPO&INPIT</description><subject>CASTING</subject><subject>CASTING OF METALS</subject><subject>CASTING OF OTHER SUBSTANCES BY THE SAME PROCESSES OR DEVICES</subject><subject>PERFORMING OPERATIONS</subject><subject>POWDER METALLURGY</subject><subject>TRANSPORTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2010</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZJAKDHX08QyJVHDzD3J1dgwO8fRzV_B1DfHwd-FhYE1LzClO5YXS3AxKbq4hzh66qQX58anFBYnJqXmpJfFeAUYGhgYGRpaWRqaOxkQpAgCANiDQ</recordid><startdate>20100212</startdate><enddate>20100212</enddate><creator>SUZUKI KENTARO</creator><creator>MACHIDA AKIHITO</creator><creator>TONE KANJI</creator><creator>KATAHIRA KENICHI</creator><creator>ASAI YOSHIMICHI</creator><creator>IWANE YOSHITADA</creator><scope>EVB</scope></search><sort><creationdate>20100212</creationdate><title>QUALITY FORECASTING METHOD</title><author>SUZUKI KENTARO ; MACHIDA AKIHITO ; TONE KANJI ; KATAHIRA KENICHI ; ASAI YOSHIMICHI ; IWANE YOSHITADA</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_JP2010029925A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2010</creationdate><topic>CASTING</topic><topic>CASTING OF METALS</topic><topic>CASTING OF OTHER SUBSTANCES BY THE SAME PROCESSES OR DEVICES</topic><topic>PERFORMING OPERATIONS</topic><topic>POWDER METALLURGY</topic><topic>TRANSPORTING</topic><toplevel>online_resources</toplevel><creatorcontrib>SUZUKI KENTARO</creatorcontrib><creatorcontrib>MACHIDA AKIHITO</creatorcontrib><creatorcontrib>TONE KANJI</creatorcontrib><creatorcontrib>KATAHIRA KENICHI</creatorcontrib><creatorcontrib>ASAI YOSHIMICHI</creatorcontrib><creatorcontrib>IWANE YOSHITADA</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>SUZUKI KENTARO</au><au>MACHIDA AKIHITO</au><au>TONE KANJI</au><au>KATAHIRA KENICHI</au><au>ASAI YOSHIMICHI</au><au>IWANE YOSHITADA</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>QUALITY FORECASTING METHOD</title><date>2010-02-12</date><risdate>2010</risdate><abstract>PROBLEM TO BE SOLVED: To provide a quality forecasting method capable of forecasting the normal/defective quality of a casting with high accuracy by evaluating the correlation of the normal/defective quality of the casting and casting conditions from various perspectives. SOLUTION: A plurality of casting conditions for every shot in die casting are collected and the normal/defective deciding results of the casting by operator are inputted. A multiple regression model having casting conditions as each explanation variable and the normal/defective deciding results as objective variable is built (STEP 30). Based on the multiple regression model, the probability (P1) that the casting is non-defective and the probability (P2) that the casting is defective are calculated, and the degree of coincidence of the forecasting deciding result and the normal/defective deciding results based on these probabilities is calculated as a forecasting accuracy (STEP 40). The deciding threshold for the magnitude (¾P1-P2¾) of the probability difference between the probability that the casting is non-defective (P1) and the probability that the casting is defective (P2) is set so that the forecasting accuracy is a predetermined value or above (STEP 50). COPYRIGHT: (C)2010,JPO&INPIT</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CASTING CASTING OF METALS CASTING OF OTHER SUBSTANCES BY THE SAME PROCESSES OR DEVICES PERFORMING OPERATIONS POWDER METALLURGY TRANSPORTING |
| title | QUALITY FORECASTING METHOD |
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