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Oscillation-based analog diagnosis using artificial neural networks based inference mechanism

Oscillation-based analog diagnosis using artificial neural networks based inference mechanism
Oscillation-based analog diagnosis using artificial neural networks based inference mechanism
In this paper, Oscillation-Based Diagnosis (OBD) of analog electronic circuits, derived from Oscillation-Based Test (OBT), is described for the first time. OBT is an effective and simple solution to the testing problem of continuous time analog filters. The inadequacy of using an infinite-gain model of the op-amps is demonstrated and a practical implementation of the theoretical concept of OBT is discussed. A realistic model of the op-amp is therefore implemented. A fault dictionary is created and used to perform diagnosis, with artificial neural networks (ANNs) as classifiers. The robustness of the ANN diagnostic concept is demonstrated by the addition of white noise to the “measured” signals. The effectiveness of OBD is demonstrated by testing and diagnosis of a second order notch cell, realized with one operational amplifier. Single soft and catastrophic faults are considered in detail and an example of the diagnosis of double soft faults is also presented.
0045-7906
Andrejević Stošović, Miona
cda6eaf9-23d2-46df-807d-66320631a630
Milić, Miljana
4a79722b-dfdf-4569-a76b-06bb09a2022c
Zwolinski, Mark
adfcb8e7-877f-4bd7-9b55-7553b6cb3ea0
Litovski, Vančo
95347d7e-c646-4723-97f8-4e9f448e2353
Andrejević Stošović, Miona
cda6eaf9-23d2-46df-807d-66320631a630
Milić, Miljana
4a79722b-dfdf-4569-a76b-06bb09a2022c
Zwolinski, Mark
adfcb8e7-877f-4bd7-9b55-7553b6cb3ea0
Litovski, Vančo
95347d7e-c646-4723-97f8-4e9f448e2353

Andrejević Stošović, Miona, Milić, Miljana, Zwolinski, Mark and Litovski, Vančo (2013) Oscillation-based analog diagnosis using artificial neural networks based inference mechanism. Computers & Electrical Engineering, 39 (2). (doi:10.1016/j.compeleceng.2012.12.006).

Record type: Article

Abstract

In this paper, Oscillation-Based Diagnosis (OBD) of analog electronic circuits, derived from Oscillation-Based Test (OBT), is described for the first time. OBT is an effective and simple solution to the testing problem of continuous time analog filters. The inadequacy of using an infinite-gain model of the op-amps is demonstrated and a practical implementation of the theoretical concept of OBT is discussed. A realistic model of the op-amp is therefore implemented. A fault dictionary is created and used to perform diagnosis, with artificial neural networks (ANNs) as classifiers. The robustness of the ANN diagnostic concept is demonstrated by the addition of white noise to the “measured” signals. The effectiveness of OBD is demonstrated by testing and diagnosis of a second order notch cell, realized with one operational amplifier. Single soft and catastrophic faults are considered in detail and an example of the diagnosis of double soft faults is also presented.

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More information

Published date: 1 February 2013
Organisations: EEE

Identifiers

Local EPrints ID: 346693
URI: https://eprints.soton.ac.uk/id/eprint/346693
ISSN: 0045-7906
PURE UUID: 1791e386-457c-430b-b634-e973a88074b6
ORCID for Mark Zwolinski: ORCID iD orcid.org/0000-0002-2230-625X

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Date deposited: 07 Jan 2013 15:26
Last modified: 31 Jul 2019 00:53

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