A boundary scan cell insertion method for mixed signal board

Xiaomei Chen; Xiaofeng Meng; Bo Zhong; Hong Ji

doi:10.1117/12.718769

30 October 2006 A boundary scan cell insertion method for mixed signal board

Xiaomei Chen, Xiaofeng Meng, Bo Zhong, Hong Ji

Proceedings Volume 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation; 635827 (2006) https://doi.org/10.1117/12.718769
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

Abstract

The boundary scan technology can make virtual probing, which could improve the overall testability of product and provide an effective approach for PCB's automatic testing based on the bus. In this paper, a new boundary scan cell insertion algorithm is put forward. Grounded on the simplified test signal flow graph st-SFG for modeling the board, the algorithm uses a testability measure based on controllability and observability to evaluate the every node, which is defined according the distance of nodes and primary I/O. At last, an example is given to verify the algorithm. In conclusion, the algorithm in this paper solve the placement problem of boundary scan cell during the PCB automatic testing using the boundary scan buses, which has very important application value.

Citation Download Citation

Xiaomei Chen, Xiaofeng Meng, Bo Zhong, and Hong Ji "A boundary scan cell insertion method for mixed signal board", Proc. SPIE 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation, 635827 (30 October 2006); https://doi.org/10.1117/12.718769

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available