Investigating the causes of biosensor SNR decrease by means of fault tree analysis

Author

Batzias, Fragiskos ; Siontorou, Christina G.

Author_Institution

Dept. of Ind. Manage. & Technol., Univ. of Piraeus, Greece

Volume

2

fYear

2004

fDate

18-20 May 2004

Firstpage

1465

Abstract

The causes of biosensor signal-to-noise ratio decrease have been investigated by means of fault tree analysis (FTA) relying on fuzzy reasoning to account for uncertainty. Using the fuzzy FTA methodology proposed herein, all ultimate causes or combination of causes, attributed to the device components, the interaction of the device components or the human factors, that are responsible for or contribute to the above event have been recognised and quantified based on; (a) measurements for the deterministic contributors, and (b) experience for the stochastic contributors. The methodology has been implemented in the case of bilayer lipid membrane biosensors and has proven to be an efficient tool for internal diagnostics and fault compensation.

Keywords

biosensors; compensation; fault trees; fuzzy logic; human factors; bilayer lipid membrane biosensors; biosensor SNR decrease; deterministic contributor measurements; device components interaction; fault compensation; fault detection; fault tree analysis; fuzzy FTA methodology; fuzzy reasoning; human factors; internal diagnostics; signal-to-noise ratio; stochastic contributors; Biomembranes; Biosensors; Fault trees; Fuzzy reasoning; Human factors; Lipidomics; Signal analysis; Signal to noise ratio; Stochastic processes; US Department of Transportation;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 2004. IMTC 04. Proceedings of the 21st IEEE

ISSN

1091-5281

Print_ISBN

0-7803-8248-X

Type

conf

DOI

10.1109/IMTC.2004.1351343

Filename

1351343