{"title":"工艺状态监测","authors":"L.E. Stockline","doi":"10.1109/RAPCON.1994.337328","DOIUrl":null,"url":null,"abstract":"The call in the 1990's is for a higher level of quality at a faster rate. This task can be insurmountable if process control is not taken to a new level of implementation. Today we attempt to understand the results of a product produced, and correct any variations in this process, after the product is produced. In the future a self teaching \"ideal\" signature of the process will be stored after the process has been optimized. A trending tolerance will be established so that, in-process, any changes can be observed, and corrective actions can be taken. Force and color monitoring are but two of the many in-process methods which are being employed by a self teaching method. Slave microprocessors can then be provided that monitor the application whenever product is involved. The next step would then have the slaves report to a PC host that collects trending data. This then would allow a \"cause and effect\" analysis which can be seen in real time, whenever a change in the process is being manually manipulated. The end result will be online inspection that will eliminate many of the offline manual inspections.<<ETX>>","PeriodicalId":151291,"journal":{"name":"Proceedings of IEEE Technical Conference on Rubber and Plastics Industry","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Process condition monitoring\",\"authors\":\"L.E. Stockline\",\"doi\":\"10.1109/RAPCON.1994.337328\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The call in the 1990's is for a higher level of quality at a faster rate. This task can be insurmountable if process control is not taken to a new level of implementation. Today we attempt to understand the results of a product produced, and correct any variations in this process, after the product is produced. In the future a self teaching \\\"ideal\\\" signature of the process will be stored after the process has been optimized. A trending tolerance will be established so that, in-process, any changes can be observed, and corrective actions can be taken. Force and color monitoring are but two of the many in-process methods which are being employed by a self teaching method. Slave microprocessors can then be provided that monitor the application whenever product is involved. The next step would then have the slaves report to a PC host that collects trending data. This then would allow a \\\"cause and effect\\\" analysis which can be seen in real time, whenever a change in the process is being manually manipulated. The end result will be online inspection that will eliminate many of the offline manual inspections.<<ETX>>\",\"PeriodicalId\":151291,\"journal\":{\"name\":\"Proceedings of IEEE Technical Conference on Rubber and Plastics Industry\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IEEE Technical Conference on Rubber and Plastics Industry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAPCON.1994.337328\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE Technical Conference on Rubber and Plastics Industry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAPCON.1994.337328","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The call in the 1990's is for a higher level of quality at a faster rate. This task can be insurmountable if process control is not taken to a new level of implementation. Today we attempt to understand the results of a product produced, and correct any variations in this process, after the product is produced. In the future a self teaching "ideal" signature of the process will be stored after the process has been optimized. A trending tolerance will be established so that, in-process, any changes can be observed, and corrective actions can be taken. Force and color monitoring are but two of the many in-process methods which are being employed by a self teaching method. Slave microprocessors can then be provided that monitor the application whenever product is involved. The next step would then have the slaves report to a PC host that collects trending data. This then would allow a "cause and effect" analysis which can be seen in real time, whenever a change in the process is being manually manipulated. The end result will be online inspection that will eliminate many of the offline manual inspections.<>
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