2017
DOI: 10.15587/1729-4061.2017.101985
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Examining the learning fire detectors under real conditions of application

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Cited by 38 publications
(37 citation statements)
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“…Paper [2] explores the algorithms and structural circuits of learning FD for various methods of registration of basic physical ignition components. In this case, effectiveness of FD learning and guaranteed fire detection by them depends essentially on both initial conditions and parameters of learning algorithms and the type of flammable material of ignition (type of a fire load at a site).…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%
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“…Paper [2] explores the algorithms and structural circuits of learning FD for various methods of registration of basic physical ignition components. In this case, effectiveness of FD learning and guaranteed fire detection by them depends essentially on both initial conditions and parameters of learning algorithms and the type of flammable material of ignition (type of a fire load at a site).…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%
“…Fig. 1 shows experimental dependences of conditions in a simulation chamber [2] at ignition and combustion of various materials (1 -alcohol, 2 -paper, 3 -wood, 4 -textiles). Magnitude Δt determines the interval of sequence of corresponding registered ignition components of the specified material, which was 0.1 sec.…”
Section: Development Of Algorithms and Structure Of Fire Detectors Camentioning
confidence: 99%
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“…Proposed in [5], the algorithms for SFD can be considered in the class of well-known adaptive algorithms of least squares (LMS). LMS properties substantially depend on original conditions and selection of parameter of algorithm convergence [6].…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%
“…Papers [5,14] introduced the concept and formulated the criterion of guaranteed ignition detection on fire protection sites, having the sense of equality of probabilities of false ignition and failure to detect actual ignition for its arbitrary component 1 1…”
Section: General Characteristics Of Adaptation Algorithm Of Fire Detementioning
confidence: 99%