Analog fault diagnosis by inverse problem technique

Rania F. Ahmed; Ahmed G. Radwan; Ahmed H. Madian; Ahmed M. Soliman

doi:10.1109/ICM.2011.6177361

Analog fault diagnosis by inverse problem technique

Rania F. Ahmed, Ahmed G. Radwan, Ahmed H. Madian, Ahmed M. Soliman

Physical Sciences and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

Abstract

A novel algorithm for detecting soft faults in linear analog circuits based on the inverse problem concept is proposed. The proposed approach utilizes optimization techniques with the aid of sensitivity analysis. The main contribution of this work is to apply the inverse problem technique to estimate the actual parameter values of the tested circuit and so, to detect and diagnose single fault in analog circuits. The validation of the algorithm is illustrated through applying it to Sallen-Key second order band pass filter and the results show that the detecting percentage efficiency was 100% and also, the maximum error percentage of estimating the parameter values is 0.7%. This technique can be applied to any other linear circuit and it also can be extended to be applied to non-linear circuits. © 2011 IEEE.

Original language	English (US)
Title of host publication	ICM 2011 Proceeding
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)	9781457722073
DOIs	https://doi.org/10.1109/ICM.2011.6177361
State	Published - Dec 2011

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10.1109/ICM.2011.6177361

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@inproceedings{82f97336a36a43d0abc7256dc13bece6,

title = "Analog fault diagnosis by inverse problem technique",

abstract = "A novel algorithm for detecting soft faults in linear analog circuits based on the inverse problem concept is proposed. The proposed approach utilizes optimization techniques with the aid of sensitivity analysis. The main contribution of this work is to apply the inverse problem technique to estimate the actual parameter values of the tested circuit and so, to detect and diagnose single fault in analog circuits. The validation of the algorithm is illustrated through applying it to Sallen-Key second order band pass filter and the results show that the detecting percentage efficiency was 100% and also, the maximum error percentage of estimating the parameter values is 0.7%. This technique can be applied to any other linear circuit and it also can be extended to be applied to non-linear circuits. {\textcopyright} 2011 IEEE.",

author = "Ahmed, {Rania F.} and Radwan, {Ahmed G.} and Madian, {Ahmed H.} and Soliman, {Ahmed M.}",

note = "KAUST Repository Item: Exported on 2020-10-01",

year = "2011",

month = dec,

doi = "10.1109/ICM.2011.6177361",

language = "English (US)",

isbn = "9781457722073",

booktitle = "ICM 2011 Proceeding",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

}

TY - GEN

T1 - Analog fault diagnosis by inverse problem technique

AU - Ahmed, Rania F.

AU - Radwan, Ahmed G.

AU - Madian, Ahmed H.

AU - Soliman, Ahmed M.

N1 - KAUST Repository Item: Exported on 2020-10-01

PY - 2011/12

Y1 - 2011/12

N2 - A novel algorithm for detecting soft faults in linear analog circuits based on the inverse problem concept is proposed. The proposed approach utilizes optimization techniques with the aid of sensitivity analysis. The main contribution of this work is to apply the inverse problem technique to estimate the actual parameter values of the tested circuit and so, to detect and diagnose single fault in analog circuits. The validation of the algorithm is illustrated through applying it to Sallen-Key second order band pass filter and the results show that the detecting percentage efficiency was 100% and also, the maximum error percentage of estimating the parameter values is 0.7%. This technique can be applied to any other linear circuit and it also can be extended to be applied to non-linear circuits. © 2011 IEEE.

AB - A novel algorithm for detecting soft faults in linear analog circuits based on the inverse problem concept is proposed. The proposed approach utilizes optimization techniques with the aid of sensitivity analysis. The main contribution of this work is to apply the inverse problem technique to estimate the actual parameter values of the tested circuit and so, to detect and diagnose single fault in analog circuits. The validation of the algorithm is illustrated through applying it to Sallen-Key second order band pass filter and the results show that the detecting percentage efficiency was 100% and also, the maximum error percentage of estimating the parameter values is 0.7%. This technique can be applied to any other linear circuit and it also can be extended to be applied to non-linear circuits. © 2011 IEEE.

UR - http://hdl.handle.net/10754/564469

UR - http://ieeexplore.ieee.org/document/6177361/

UR - http://www.scopus.com/inward/record.url?scp=84860659382&partnerID=8YFLogxK

U2 - 10.1109/ICM.2011.6177361

DO - 10.1109/ICM.2011.6177361

M3 - Conference contribution

SN - 9781457722073

BT - ICM 2011 Proceeding

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

Analog fault diagnosis by inverse problem technique

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