Skip to main content

Research Repository

Advanced Search

Assessment of microfluidic system testability using fault simulation and test metrics

Myers, Thomas O.; Bell, Ian; Bell, Ian M.


Thomas O. Myers

Ian Bell

Ian M. Bell


In this paper we introduce a Microfluidic Fault Simulator, MFS, which uses a novel method of fault modeling and injection, the Fault Block, a generic and low abstraction fault modeling technique. This technique has been utilized over a wide range of fault conditions, in this paper we present a trapped bubble condition. In conjunction with injecting fault conditions, we can apply test methods. Two methods proving sensitive to microfluidic faults are; impedance spectroscopy and Levich electro-chemical sensors, illustrated here by a diffusional "Y" channel mixing system case study. Data from the MFS is analyzed using a Neyman-Pearson probabilistic approach, providing information on each sensor's test capability. Overall fault coverage for a given test is determined. This approach allows the analysis of fault coverage offered by functional-test orientated sensors to be compared to alternative approaches, which potentially offer increased coverage at lower cost.


Myers, T. O., & Bell, I. M. (2011). Assessment of microfluidic system testability using fault simulation and test metrics. Journal of electronic testing : theory and applications : (JETTA), 27(3), 363-373.

Journal Article Type Article
Acceptance Date Jan 25, 2011
Online Publication Date Feb 22, 2011
Publication Date 2011-06
Print ISSN 0923-8174
Electronic ISSN 1573-0727
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 27
Issue 3
Pages 363-373
Keywords Heterogeneous system simulation; Microfluidic test; Fault analysis; Impedance spectroscopy; Fault injection; Fault modeling
Public URL
Publisher URL