Table Of ContentStudies in Computational Intelligence 976
Coen van Gulijk
Elena Zaitseva Editors
Reliability
Engineering and
Computational
Intelligence
Studies in Computational Intelligence
Volume 976
SeriesEditor
JanuszKacprzyk,PolishAcademyofSciences,Warsaw,Poland
The series “Studies in Computational Intelligence” (SCI) publishes new develop-
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science, physics and life sciences, as well as the methodologies behind them. The
series contains monographs, lecture notes and edited volumes in computational
intelligence spanning the areas of neural networks, connectionist systems, genetic
algorithms,evolutionarycomputation,artificialintelligence,cellularautomata,self-
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·
Coen van Gulijk Elena Zaitseva
Editors
Reliability Engineering
and Computational
Intelligence
Editors
CoenvanGulijk ElenaZaitseva
HealthyLiving,TNO FacultyofManagementScience
Leiden,TheNetherlands andInformatics
UniversityofZilina
SchoolofComputingandEngineering
Zilina,Slovakia
UniversityofHuddersfield
Huddersfield,UK
FacultyofTechnology
PolicyandManagement
DelftUniversityofTechnology
Delft,TheNetherlands
ISSN1860-949X ISSN1860-9503 (electronic)
StudiesinComputationalIntelligence
ISBN978-3-030-74555-4 ISBN978-3-030-74556-1 (eBook)
https://doi.org/10.1007/978-3-030-74556-1
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Preface
This volume addresses the fusion between two scientific domains: reliability
engineering and computational intelligence. Reliability engineering is an estab-
lished domain that has a very good practical and scientific background for the
analysisofthereliabilityofsystems.Computationalintelligenceisrelativelynewin
reliabilityengineering.Butithasbeenanequallywell-establishedbranchofresearch
withmanygroupsovertheworldattemptingtodevelopusefulcomputationalintel-
ligencetoolsindifferentfields.Today,thecontinuousdrivefordigitalizationcauses
reliabilityengineeringandcomputationalintelligencetomerge.Combiningthefields
paves the way to progress on big data analytics, uncertain information evaluation,
reasoning,prediction,modeling,optimization,decisionmaking,andofcourse:more
reliablesystems.
TheRECIworkshopwasheldtodiscussthemergerofreliabilityengineeringand
computational intelligence and progress in the field. The workshop was an online
scientific event held from October 27–29, 2020 (htps://ki.fri.uniza.sk/RECI2020/).
Thisvolumecombinesseveralpaperssubmittedtotheworkshop.Outof68submis-
sionsforpaper,47wereselectedfordiscussionandafterreviewby2or3peers,18
wereacceptedforpublicationinthisvolume.
Althoughtherewassomeoverlapinthepapers,progresstendedtoclusteraround
three subjects: mathematical methods for RECI, digital techniques for RECI, and
progressinRECIapplicationsofwhichmostarebasedonimageanalysis.Theworks
inthisvolumeareorganizedaccordingtotheseclusters.Thefirstclusterfocuseson
mathematical techniques and is entitled “Mathematical and computational intelli-
gence methods in reliability engineering.” This cluster contains papers explaining
systemreliabilitytechniquesbasedonlogicdifferentialcalculusandHessediagrams,
survival signatures, fuzzy random forests, syntax trees, failure-based prevention
models,andfilteringalgorithmsforconvolutionalneuralnetworks.
Thesecondclusterfocusesonsubjectsfordigitaltechniquesthatareequallyvaried
discussing:“Digitaltechnologiesinreliabilityengineering”.Startingfromrelatively
abstractinsightsofhowdigitalmodelingtechnologiescouldreplacemathematical
modeling, building safety assurance cases for software, and a business approach
toRECI.Andmovingintopracticalitiesforhyperconvergedsystems,reliabilityof
distributedprocessingandenergyoptimizationofIoTsystems.
v
vi Preface
Progressonimageanalysisisreportedon:imagesuperresolution,weightsstan-
dardizationinneuralnetworktechniques,deeplearning,autonomousunitsforreli-
able monitoring, and complex monitoring systems (though the last two don’t just
treatimageanalysis).AndlastbutnotleastprogressisreportedonCovid-19.This
last cluster is entitled: “Image analysis and other applications of computational
intelligenceinreliabilityengineering.”
Webelievethattheworkrecordedinthisvolumeisrelevantforscientistsinter-
ested infusing problems of reliabilityengineering and computational intelligence.
Whethertheyberesearchersfromanacademicorbusinessbackground,whetherthey
bedealingwithriskandreliabilityanalysisorcomputationalintelligence,webelieve
thisworkcontributestotheirunderstandingofthesubject.Webelievethatthework
is equally useful for IT companies traditionally working on computational intelli-
gence, and developers of engineering systems traditionally working on reliability
engineering.
Wethankthelocalorganizersfortheireffortsinmakingtheworkshopasuccessful
one.Wethankallauthorsandreviewersfortheirexcellentcontributionsandwethank
ourfundersthroughthe“AdvancedCentreforPh.D.StudentsandYoungResearchers
inInformatics”—ACeSYRI(610166-EPP-1-2019-1-SK-EPPKA2-CBHE-JP)ofthe
EuropeanUnion’sErasmus+programmeand“NewMethodsDevelopmentforReli-
abilityAnalysisofComplexSystem”(APVV-18-0027)oftheSlovakResearchand
DevelopmentAgency.
Leiden,TheNetherlands CoenvanGulijk
Zilina,Slovakia ElenaZaitseva
December2020
Contents
Mathematical and Computational Intelligence Methods in
ReliabilityEngineering
SystemReliabilityAnalysisandAssessmentbyMeansofLogic
DifferentialCalculusandHasseDiagram ............................ 3
NicolaeBrinzei,Jean-FrançoisAubry,MiroslavKvassay,andElenaZaitseva
The Survival Signature for Quantifying System Reliability:
AnIntroductoryOverviewfromPracticalPerspective ................ 23
FrankP.A.CoolenandTahaniCoolen-Maturi
Application of Fuzzy Decision Tree for the Construction
of Structure Function for System Reliability Analysis Based
onUncertainData ................................................. 39
JanRabcan,PeterSedlacek,IgorBolvashenkov,andJörgKammermann
Unavailability Optimization of a System Undergoing a Real
AgeingProcessUnderFailureBasedPM ............................ 55
RadimBrišandPavelJahoda
MinimalFilteringAlgorithmsforConvolutionalNeuralNetworks ..... 73
AleksandrCariowandGalinaCariowa
DigitalTechnologiesinReliabilityEngineering
NewChallenges andOpportunitiesinReliabilityEngineering
ofComplexTechnicalSystems ...................................... 91
AntoineRauzy
DevelopmentofStructuredArgumentsforAssuranceCase ............ 115
VladimirSklyarandVyacheslavKharchenko
MakingReliabilityEngineeringandComputationalIntelligence
SolutionsSMARTER .............................................. 133
CoenvanGulijk
vii
viii Contents
MethodforDeterminingtheStructuralReliabilityofaNetwork
BasedonaHyperconvergedArchitecture ............................ 147
IgorRuban, HeorhiiKuchuk, AndriyKovalenko,
NataliiaLukova-Chuiko,andVitaliiMartovytsky
Database Approach for Increasing Reliability in Distributed
InformationSystems ............................................... 165
RomanCeresnakandKarolMatiasko
TimeDependentReliabilityAnalysisoftheDataStorageSystem
BasedontheStructureFunctionandLogicDifferentialCalculus ...... 179
PatrikRusnakandMichalMrena
EnergyEfficiencyforIoT .......................................... 199
AndriyLuntovskyyandBohdanShubyn
Image Analysis and Other Applications of Computational
IntelligenceinReliabilityEngineering
Knowledge-Based Multispectral Remote Sensing Imagery
Superresolution ................................................... 219
SergeyA.Stankevich, IrynaO.Piestova, MykolaS.Lubskyi,
SergiyV.Shklyar,ArturR.Lysenko,OlegV.Maslenko,andJanRabcan
NeuralNetworkTrainingAccelerationbyWeightStandardization
inSegmentationofElectronicCommerceImages ..................... 237
V.SorokinaandS.Ablameyko
WaterproofingMembranesReliabilityAnalysisbyEmbedded
andHigh-ThroughputDeep-LearningAlgorithm ..................... 245
DaryaFilatovaandCharlesEl-Nouty
NetworkofAutonomousUnitsfortheComplexTechnological
ObjectsReliableMonitoring ........................................ 261
OleksandrChemerys, OleksandrBushma, OksanaLytvyn,
AlexeiBelotserkovsky,andPavelLukashevich
A Correlative Method to Rank Sensors with Information
Reliability:Interval-ValuedNumbersCase .......................... 275
MykhailoO.Popov,OleksandrV.Zaitsev,RuslanaG.Stambirska,
SofiiaI.Alpert,andOleksandrM.Kondratov
COVID-19PandemicRiskAnalytics:DataMiningwithReliability
Engineering Methods for Analyzing Spreading Behavior
andComparisonwithInfectiousDiseases ............................ 293
AliciaPulsandStefanBracke
Mathematical and Computational
Intelligence Methods in Reliability
Engineering
