Terahertz and laser imaging for printed circuit board failure detection

被引:0
|
作者
Keenan, E [1 ]
Wright, RG [1 ]
Kirkland, LV [1 ]
机构
[1] GMA Ind Inc, Annapolis, MD 21401 USA
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper describes research and development efforts in the application of advanced optical techniques for prognostic analysis of printed circuit boards and their components. Current methods of automated electronic testing require development of costly unique Test Program Sets (TPSs) for each type of board, and only return information related to the current performance characteristics. The use of laser diagnostics in circuit board testing can eliminate the need for TPSs, while identifying compromises in material integrity that will lead to hard and soft component failures. Additionally, they may be applied to solve instances of retest OK (RTOK) and no-fault-found events. Our investigation has focused on Terahertz (T-Ray) imaging, laser acoustics, and near-infrared (NIR) laser imaging. T-Ray imaging is an emerging laser-based technology characterized by the ability to "see through" layers of plastic to the embedded metal traces of a circuit board or to the die of an encapsulated microchip. Laser acoustics may be applied to monitor the integrity of solder joints, and NIR laser imaging may be used to identify damage within an integrated circuit (IC). We present the results of our investigation into the combined use of these techniques for fault diagnosis, as well as their relative potential in the electronics test industry.
引用
收藏
页码:563 / 569
页数:7
相关论文
共 50 条
  • [31] Laser ablated micromirrors for printed circuit board integrated optical interconnections
    Hendrickx, Nina
    Van Erps, Jurgen
    Van Steenberge, Geert
    Thienpont, Hugo
    Van Daele, Peter
    IEEE PHOTONICS TECHNOLOGY LETTERS, 2007, 19 (9-12) : 822 - 824
  • [32] Flexible printed circuit board magnetic micromirror for laser marking/engraving
    Periyasamy, Karlmarx G. K.
    Zuo, Hui
    He, Siyuan
    JOURNAL OF MICROMECHANICS AND MICROENGINEERING, 2019, 29 (08)
  • [33] Laser-induced breakdown spectroscopy (LIBS) combined with hyperspectral imaging for the evaluation of printed circuit board composition
    Carvalho, Rodrigo R. V.
    Coelho, Jomarc A. O.
    Santos, Jozemir M.
    Aquino, Francisco W. B.
    Carneiro, Renato L.
    Pereira-Filho, Edenir R.
    TALANTA, 2015, 134 : 278 - 283
  • [34] Defects Detection of Printed Circuit Board Based on the Machine Vision Method
    Wang, Wenbin
    Liu, Daoyuan
    Yao, Yuqin
    CURRENT DEVELOPMENT OF MECHANICAL ENGINEERING AND ENERGY, PTS 1 AND 2, 2014, 494-495 : 785 - +
  • [35] DVCW-YOLO for Printed Circuit Board Surface Defect Detection
    Shi, Pei
    Zhang, Yuyang
    Cao, Yunqin
    Sun, Jiadong
    Chen, Deji
    Kuang, Liang
    APPLIED SCIENCES-BASEL, 2025, 15 (01):
  • [36] Automatic Visual Inspection of Printed Circuit Board for Defect Detection and Classification
    Chaudhary, Vikas
    Dave, Ishan R.
    Upla, Kishor P.
    2017 2ND IEEE INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, SIGNAL PROCESSING AND NETWORKING (WISPNET), 2017, : 732 - 737
  • [37] Algorithmic Scheme for Concurrent Detection and Classification of Printed Circuit Board Defects
    Onshaunjit, Jakkrit
    Srinonchat, Jakkree
    CMC-COMPUTERS MATERIALS & CONTINUA, 2022, 71 (01): : 355 - 367
  • [38] Algorithmic scheme for concurrent detection and classification of printed circuit board defects
    Onshaunjit, Jakkrit
    Srinonchat, Jakkree
    Computers, Materials and Continua, 2022, 71 (01): : 355 - 367
  • [39] Detection of Printed Circuit Board Failures Based on Signal Frequency Analyses
    Blecha, Tomas
    2011 34TH INTERNATIONAL SPRING SEMINAR ON ELECTRONICS TECHNOLOGY (ISSE 2011) - NEW TRENDS IN MICRO/NANOTECHNOLOGY, 2011, : 168 - 171
  • [40] Research on printed circuit board external open-circuit failure gas discharge tube under short-circuit failure
    Zheng, Chuanxiao
    Lu, Hao
    Hu, Heng
    Zhao, Wenjun
    Yuan, Yuxiang
    Xu, Yongzhong
    Wang, Yanlin
    Hu, Yong
    ELECTRIC POWER SYSTEMS RESEARCH, 2023, 220