ANN based modeling, testing and diagnosis of MEMS


Litovski, V, Andrejevic, M and Zwolinski, M (2004) ANN based modeling, testing and diagnosis of MEMS At NEUREL 2004: SEVENTH SEMINAR ON NEURAL NETWORK APPLICATIONS IN ELECTRICAL ENGINEERING, Serbia. 23 - 25 Sep 2004. , pp. 183-188.

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Description/Abstract

New concepts of simulation, testing and diagnosis of MEMS are proposed, intended to boost the time to market and dependability of such systems. Black-box modeling of non-electronic parts is introduced using artificial neural networks, so enabling radically faster simulation without concurrent algorithms and parallel computation. A Jumped model of the capacitive transducer, being the part of a micro-electro-mechanical capacitive pressure sensing system, is created using an ANN. Faults are then introduced to the sensing system and simulation of the fault-free and faulty circuits are demonstrated.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Event Dates: SEP 23-25, 2004
Venue - Dates: NEUREL 2004: SEVENTH SEMINAR ON NEURAL NETWORK APPLICATIONS IN ELECTRICAL ENGINEERING, Serbia, 2004-09-23 - 2004-09-25
Organisations: EEE
ePrint ID: 263413
Date :
Date Event
2004Published
Date Deposited: 12 Feb 2007
Last Modified: 17 Apr 2017 19:53
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/263413

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