Orthogonal gas sensor arrays with intelligent algorithms for early warning of electrical fires

Ni, Ming; Stetter, Joseph R.; Buttner, William J.

doi:10.1016/j.snb.2007.10.070

Cited by 21 publications

(13 citation statements)

References 13 publications

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“…To overcome these limitations, several approaches such as signal processing (e.g. PCA, LDA, KNN or artificial neural networks [1,3,4]) have been employed. In this work, we present preliminary studies on a sensor array [5] which may be used for detecting fires in electrical installations and cabinets at early stages.…”

Section: Introductionmentioning

confidence: 99%

Early detection of fires in electrical installations by thermally modulated SnO2/additive-multi sensor arrays

Knoblauch

Illyaskutty

Kohler

2015

Sensors and Actuators B: Chemical

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Section: Introductionmentioning

confidence: 99%

Early detection of fires in electrical installations by thermally modulated SnO2/additive-multi sensor arrays

Knoblauch

Illyaskutty

Kohler

2015

Sensors and Actuators B: Chemical

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“…Selective molecular sensing is important in numerous areas, such as military [1], fire sensing [2], wine tasting [3], and cancer detection [4]. Recent advances in nanotechnology have brought new possibilities to develop accurate, reliable, and portable chemical sensors, which may benefit a broad range of industries [5,6].…”

Section: Introductionmentioning

confidence: 99%

Configuration-sensitive molecular sensing on doped graphene sheets

Russell

2010

Nano Res.

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We show by molecular dynamics simulations that configuration-sensitive molecular spectroscopy can be realized on optimally doped graphene sheets vibrated by an oscillatory electric field. High selectivity of the spectroscopy is achieved by maximizing Coulombic binding between the detected molecule and a specific nest, formed for this molecule on the graphene sheet by substituting selected carbon atoms with boron and nitrogen dopants. One can detect binding of different isomers to the nest from the frequency shifts of selected vibrational modes of the combined system. As an illustrative example, we simulate detection of hexanitrostilbene enantiomers in chiral nests formed on graphene.

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“…Ni et al proposed a methodology based on a k-nearest neighbor after dimensionality reduction [ 83 ]. They focused the interest on the scenario of electrical fires, which is particularly favorable for gas-based fire detectors.…”

Section: Fire Detectors Exclusively Based On Chemical Sensingmentioning

confidence: 99%

Chemical Sensor Systems and Associated Algorithms for Fire Detection: A Review

Fonollosa

Solórzano

Marco

2018

Sensors

120

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Indoor fire detection using gas chemical sensing has been a subject of investigation since the early nineties. This approach leverages the fact that, for certain types of fire, chemical volatiles appear before smoke particles do. Hence, systems based on chemical sensing can provide faster fire alarm responses than conventional smoke-based fire detectors. Moreover, since it is known that most casualties in fires are produced from toxic emissions rather than actual burns, gas-based fire detection could provide an additional level of safety to building occupants. In this line, since the 2000s, electrochemical cells for carbon monoxide sensing have been incorporated into fire detectors. Even systems relying exclusively on gas sensors have been explored as fire detectors. However, gas sensors respond to a large variety of volatiles beyond combustion products. As a result, chemical-based fire detectors require multivariate data processing techniques to ensure high sensitivity to fires and false alarm immunity. In this paper, we the survey toxic emissions produced in fires and defined standards for fire detection systems. We also review the state of the art of chemical sensor systems for fire detection and the associated signal and data processing algorithms. We also examine the experimental protocols used for the validation of the different approaches, as the complexity of the test measurements also impacts on reported sensitivity and specificity measures. All in all, further research and extensive test under different fire and nuisance scenarios are still required before gas-based fire detectors penetrate largely into the market. Nevertheless, the use of dynamic features and multivariate models that exploit sensor correlations seems imperative.

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Orthogonal gas sensor arrays with intelligent algorithms for early warning of electrical fires

Cited by 21 publications

References 13 publications

Early detection of fires in electrical installations by thermally modulated SnO2/additive-multi sensor arrays

Early detection of fires in electrical installations by thermally modulated SnO2/additive-multi sensor arrays

Configuration-sensitive molecular sensing on doped graphene sheets

Chemical Sensor Systems and Associated Algorithms for Fire Detection: A Review

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