The University of Southampton
University of Southampton Institutional Repository

Fault diagnosis in digital part of mixed-mode circuit

Andrejevic, M, Litovski, V and Zwolinski, M (2006) Fault diagnosis in digital part of mixed-mode circuit At 25TH INTERNATIONAL CONFERENCE ON MICROELECTRONICS, Serbia. 14 - 17 May 2006. , pp. 437-440.

Record type: Conference or Workshop Item (Paper)


In this paper artificial neural networks (ANNs) are applied to diagnosis of catastrophic defects in the digital part of a nonlinear mixed-mode circuit. The approach is demonstrated on the example of a relatively complex sigma-delta modulator. A set of faults is selected first. Then,fault dictionary is created. by simulation, using the response of the circuit to an input ramp signal. It is represented in a form of a look-up table. Artificial neural network is then trained for modeling (memorizing) the look-up table. The diagnosis is performed so that the ANN is excited by faulty responses in order to present the fault codes at its output. There were no errors in identiting the faults during diagnosis.

Full text not available from this repository.

More information

Published date: May 2006
Additional Information: Event Dates: MAY 14-17, 2006
Venue - Dates: 25TH INTERNATIONAL CONFERENCE ON MICROELECTRONICS, Serbia, 2006-05-14 - 2006-05-17
Organisations: EEE


Local EPrints ID: 262724
ISBN: 1-4244-0116-X
PURE UUID: e45e5705-7667-49b7-b79e-b2dea7436c7f
ORCID for M Zwolinski: ORCID iD

Catalogue record

Date deposited: 12 Feb 2007
Last modified: 18 Jul 2017 08:48

Export record


Author: M Andrejevic
Author: V Litovski
Author: M Zwolinski ORCID iD

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.