Nabil El Belghiti Alaoui, Patrick Tounsi, A. Boyer, A. Viard
{"title":"利用红外热特征检测PCB组件缺陷","authors":"Nabil El Belghiti Alaoui, Patrick Tounsi, A. Boyer, A. Viard","doi":"10.23919/MIXDES.2019.8787089","DOIUrl":null,"url":null,"abstract":"A Printed Circuit Board assembly (PCBA) testing approach using infrared thermal signatures is presented. The concept of thermal signature for PCBAs is introduced. Based on this concept, the testing method is able to: - detect assembly defects such as presence, polarity, value and solder (shorts and opens) and in some cases component health state - classify the components mounted on the PCB into a number of classes (e.g. – fault free(reliable), functional (less reliable), faulty ). According to the thermal signature of each component on the PCBA, PCBAs can be also classified in the same number of classes. In this article a special focus is put on capacitor defects especially capacitor value defects. Therefore, they will be the main components tested. The fault detection indicator used in this proof of concept is a statistical mean squared error measure (MSE).","PeriodicalId":309822,"journal":{"name":"2019 MIXDES - 26th International Conference \"Mixed Design of Integrated Circuits and Systems\"","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Detecting PCB Assembly Defects Using Infrared Thermal Signatures\",\"authors\":\"Nabil El Belghiti Alaoui, Patrick Tounsi, A. Boyer, A. Viard\",\"doi\":\"10.23919/MIXDES.2019.8787089\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A Printed Circuit Board assembly (PCBA) testing approach using infrared thermal signatures is presented. The concept of thermal signature for PCBAs is introduced. Based on this concept, the testing method is able to: - detect assembly defects such as presence, polarity, value and solder (shorts and opens) and in some cases component health state - classify the components mounted on the PCB into a number of classes (e.g. – fault free(reliable), functional (less reliable), faulty ). According to the thermal signature of each component on the PCBA, PCBAs can be also classified in the same number of classes. In this article a special focus is put on capacitor defects especially capacitor value defects. Therefore, they will be the main components tested. The fault detection indicator used in this proof of concept is a statistical mean squared error measure (MSE).\",\"PeriodicalId\":309822,\"journal\":{\"name\":\"2019 MIXDES - 26th International Conference \\\"Mixed Design of Integrated Circuits and Systems\\\"\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 MIXDES - 26th International Conference \\\"Mixed Design of Integrated Circuits and Systems\\\"\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/MIXDES.2019.8787089\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 MIXDES - 26th International Conference \"Mixed Design of Integrated Circuits and Systems\"","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/MIXDES.2019.8787089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detecting PCB Assembly Defects Using Infrared Thermal Signatures
A Printed Circuit Board assembly (PCBA) testing approach using infrared thermal signatures is presented. The concept of thermal signature for PCBAs is introduced. Based on this concept, the testing method is able to: - detect assembly defects such as presence, polarity, value and solder (shorts and opens) and in some cases component health state - classify the components mounted on the PCB into a number of classes (e.g. – fault free(reliable), functional (less reliable), faulty ). According to the thermal signature of each component on the PCBA, PCBAs can be also classified in the same number of classes. In this article a special focus is put on capacitor defects especially capacitor value defects. Therefore, they will be the main components tested. The fault detection indicator used in this proof of concept is a statistical mean squared error measure (MSE).