DocumentCode
3181021
Title
An Intelligent BIST Mechanism for MEMS Fault Detection
Author
Tanha, Jafar ; Asgary, Reza
Author_Institution
Noor Univ., Tehran
fYear
2007
fDate
23-26 May 2007
Firstpage
12
Lastpage
14
Abstract
Diversity of application fields and properties of new materials generate new failure mechanisms in micro electro mechanical systems (MEMS). Now if we take into account the lessons from the past in microelectronics, we note that failure analysis played a major rule not only in development time reduction but also in qualification and reliability evaluation Most of the researches which have been done in MEMS reliability are about new material properties and fabrication technologies. Only a few fault detection methods have been introduced for fault detection in MEMS. Some of these methods can be used only for special MEMS. Additionally most of them need a precise model of system. In this paper a new intelligent method is proposed for fault detection in MEMS. In addition some parts of proposed neural network are changed in order to implement it as a BIST mechanism.
Keywords
built-in self test; failure analysis; fault diagnosis; micromechanical devices; neural nets; reliability; MEMS reliability; failure analysis; failure mechanisms; fault detection; intelligent BIST mechanism; micro electro mechanical systems; neural network; Built-in self-test; Failure analysis; Fault detection; Material properties; Materials reliability; Mechanical factors; Mechanical systems; Microelectronics; Micromechanical devices; Qualifications; BIST; MEMS; Neural Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Perspective Technologies and Methods in MEMS Design, 2007. MEMSTECH 2007. International Conference on
Conference_Location
Lviv-Polyana
Print_ISBN
978-966-553-614-7
Type
conf
DOI
10.1109/MEMSTECH.2007.4283415
Filename
4283415
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