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
Link To Document :
بازگشت