Nature-inspired computing paradigms in systems : reliability, availability, maintainability, safety and cost (RAMS+C) and prognostics and health management (PHM) PDF
Preview Nature-inspired computing paradigms in systems : reliability, availability, maintainability, safety and cost (RAMS+C) and prognostics and health management (PHM)
Nature-Inspired Computing Paradigms in Systems Nature-Inspired Computing Paradigms in Systems Reliability, Availability, Maintainability, Safety and Cost (RAMS+C) and Prognostics and Health Management (PHM) Edited by Mohamed Arezki Mellal, Associate Professor, Department of Mechanical Engineering,Faculty ofTechnology, M’Hamed Bougara University, Boumerdes, Algeria CALCE (Center for Advanced Life Cycle Engineering),University of Maryland,College Park, MD, United States Michael G. Pecht, Professor, CALCE (Center ForAdvanced Life Cycle Engineering), University ofMaryland, College Park, MD, United States Series Editor: Fatos Xhafa Universitat Polite`cnica de Catalunya, Spain AcademicPressisanimprintofElsevier 125LondonWall,LondonEC2Y5AS,UnitedKingdom 525BStreet,Suite1650,SanDiego,CA92101,UnitedStates 50HampshireStreet,5thFloor,Cambridge,MA02139,UnitedStates TheBoulevard,LangfordLane,Kidlington,OxfordOX51GB,UnitedKingdom Copyright©2021ElsevierInc.Allrightsreserved. Nopartofthispublicationmaybereproducedortransmittedinanyformorbyanymeans,electronicor mechanical,includingphotocopying,recording,oranyinformationstorageandretrievalsystem,without permissioninwritingfromthepublisher.Detailsonhowtoseekpermission,furtherinformationaboutthe Publisher’spermissionspoliciesandourarrangementswithorganizationssuchastheCopyrightClearance CenterandtheCopyrightLicensingAgency,canbefoundatourwebsite:www.elsevier.com/permissions. ThisbookandtheindividualcontributionscontainedinitareprotectedundercopyrightbythePublisher(other thanasmaybenotedherein). Notices Knowledgeandbestpracticeinthisfieldareconstantlychanging.Asnewresearchandexperiencebroadenour understanding,changesinresearchmethods,professionalpractices,ormedicaltreatmentmaybecome necessary. Practitionersandresearchersmustalwaysrelyontheirownexperienceandknowledgeinevaluatingandusing anyinformation,methods,compounds,orexperimentsdescribedherein.Inusingsuchinformationormethods theyshouldbemindfuloftheirownsafetyandthesafetyofothers,includingpartiesforwhomtheyhavea professionalresponsibility. Tothefullestextentofthelaw,neitherthePublishernortheauthors,contributors,oreditors,assumeanyliability foranyinjuryand/ordamagetopersonsorpropertyasamatterofproductsliability,negligenceorotherwise,or fromanyuseoroperationofanymethods,products,instructions,orideascontainedinthematerialherein. LibraryofCongressCataloging-in-PublicationData AcatalogrecordforthisbookisavailablefromtheLibraryofCongress BritishLibraryCataloguing-in-PublicationData AcataloguerecordforthisbookisavailablefromtheBritishLibrary ISBN978-0-12-823749-6 ForinformationonallAcademicPresspublications visitourwebsiteathttps://www.elsevier.com/books-and-journals Publisher:MaraConner AcquisitionsEditor:SonniniR.Yura EditorialProjectManager:EmilyThomson ProductionProjectManager:SwapnaSrinivasan CoverDesigner:VickyPearsonEsser TypesetbySPiGlobal,India Contributors Roumaissa Boutiche LMSS, Faculty ofTechnology, M’Hamed BougaraUniversity, Boumerdes, Algeria Nariman L. Dehghani Risk Assessment and Management ofStructural and Infrastructure Systems (RAMSIS lab), The OhioStateUniversity, Columbus, OH, United States Mohammad Ali Farsi Reliability and standardgroup, A&S Research Institute,Ministry ofScience,Researchand Technology, Tehran, Iran Abir Frik LMSS, Faculty ofTechnology, M’Hamed BougaraUniversity, Boumerdes, Algeria IkramHamadache LMSS, Faculty ofTechnology, M’Hamed BougaraUniversity, Boumerdes, Algeria Kai He SchoolofEngineering Science,University of Science and Technologyof China, Hefei,China Kasun Hewage SchoolofEngineering,University ofBritishColumbia,OkanaganCampus,Kelowna,BC,Canada LisaJackson Department of Aeronauticaland Automotive Engineering, LoughboroughUniversity, Loughborough, UnitedKingdom AmitKumar DepartmentofInformationTechnology,RajkiyaEngineeringCollege,AmbedkarNagar,Akbarpur, Uttar Pradesh,India Lei Mao SchoolofEngineering Science,University of Science and Technologyof China, Hefei,China Mohamed Arezki Mellal LMSS, Faculty ofTechnology, M’Hamed BougaraUniversity, Boumerdes, Algeria; Center for Advanced Life Cycle Engineering(CALCE), University ofMaryland, College Park, MD, UnitedStates RachidOuache SchoolofEngineering,University ofBritishColumbia,OkanaganCampus,Kelowna,BC,Canada RehanSadiq SchoolofEngineering,University ofBritishColumbia,OkanaganCampus,Kelowna,BC,Canada Laxminarayan Sahoo Department of Computerand Information Science,Raiganj University, Raiganj,India AbdollahShafieezadeh Risk Assessment and Management ofStructural and Infrastructure Systems (RAMSIS lab), The OhioStateUniversity, Columbus, OH, United States ix x Contributors Amin MohammadpourShotorbani SchoolofEngineering,University ofBritishColumbia,OkanaganCampus, Kelowna, BC,Canada Qiang Wu SchoolofEngineeringScience, University ofScience and TechnologyofChina,Hefei, China ChiZhang Risk Assessment and Management ofStructuraland Infrastructure Systems (RAMSIS lab), The Ohio State University, Columbus, OH, UnitedStates Editor biographies Mohamed Arezki Mellal is an associate professor at the Department of Mechanical Engineering, Faculty of Technology, M’Hamed Bougara University, Algeria, and a visiting scholar at the Center for Advanced Life Cycle Engineering, Department of Mechanical Engineering, University of Maryland,CollegePark,MD,UnitedStates.Likewise,hewasavisitingscholaratvariousuniversities. He has published in several journals and conference proceedings. He has edited five books and authoredsevenbookchapters.HeisamemberoftheAlgerianNationalLaboratoryforMaintenance EducationinconjunctionwiththeEuropeanUnion(Erasmus+).Hehasalsobeenacommitteemember formorethan70internationalconferences.Heservesasaregularreviewerfor18SCI-indexedjournals andaneditorialboardmemberin7peer-reviewedinternationaljournals.Hisresearchinterestsinclude developingnewbioinspiredoptimizationmethodsforsolvingengineeringproblemsofsystemdepend- ability,manufacturing, and energyefficiency. Michael G. Pecht (30,000+ citations, 80+ H-Index) has a BS in physics, an MS in electrical engineering, and an MS and PhD in engineering mechanics from the University of Wisconsin. He isaprofessionalengineer,anIEEEfellow,aPHMSocietylifefellow,anASMEfellow,anASMfel- low,anSAEfellow,andanIMAPSfellow.HeservedaseditorinchiefofIEEEAccessfor6years,as editor in chief of IEEE Transactions on Reliability for 9years, editor in chief of Microelectronics Reliabilityfor16years,andeditorofCircuitWorld.HehasalsoservedonthreeUSNationalAcademy ofSciencestudies,twoUSCongressionalinvestigationsinautomotivesafety,andasanexperttothe USFDA.HeistheDirectorofCenterforAdvancedLifeCycleEngineering(CALCE)attheUniversity ofMaryland(UMd),whichisfundedbymorethan150world’sleadingelectronicscompaniesatmore thanUS$6M/year.HeisalsoaprofessorinappliedmathematicsatUMD.In2008,hewasawardedthe highest reliability honor, the IEEE Reliability Society’s Lifetime Achievement Award. In 2010, he received the IEEE Exceptional Technical Achievement Award for his innovations in the area of prognostics and systemshealthmanagement. xi Preface Nowadays,competitivenessinallindustrialsectorsisduetothenumberofcompaniesandtherequire- mentsofregulationsandusers.Industrialcompaniesfocusondevelopmentandacquisitionofsystems withahighlevelofdependability.However,itinvolvesmanychallenges.Duringthelastdecades,var- ioussolutiontechniqueshavebeenproposedtodealwiththesechallenges.Nature-inspiredcomputing techniqueshaveprovedtheireffectivenessinsolvinghardengineeringproblems.Thepresentworkis part of nature-inspired paradigms in systems—RAMS+C (Reliability, Availability, Maintainability, Safety, and Cost) &PHM (Prognostics andHealthManagement). Thebookisdividedintoeightchapters.Chapter1dealswiththereliabilityoptimizationofasafety systeminthepowerplantusinggraywolfoptimizerandtheshuffledflog-leapingalgorithm.Chapter2 addressesthedesignoptimizationofthecarsidesafetysystemusingparticleswarmoptimizationand graywolfoptimizer.Chapter3presentsthebasicprinciplesofgeneticalgorithmanditsapplicationin RAMS.Chapter4usesevolutionaryoptimizationforresilience-basedplanninginpowerdistribution networks.Chapter5presentsareviewoftheapplicationofnature-inspiredcomputinginoptimalde- sign.Chapter6usesartificialneuralnetworksandgeneticalgorithmsforfiresafetystrategiesassess- ment. Chapter 7 applies artificial neural networks to proton exchange. Finally, Chapter 8 addresses reliability redundancy allocation problems with uncertainties using genetic algorithms and dual- connection numbers. Thisbookcanbeusedbyresearchers,students,engineers,industrialcompanies,oranypersonin- terestedinnature-inspiredcomputation and RAMS+C &PHM. Mohamed Arezki Mellal MichaelG.Pecht xiii Acknowledgment Theeditorswould like tothankthe following reviewers: FaustoPedroGarc´ıaMa´rquez Universidad Castilla-LaMancha, Spain HarishGarg ThaparInstituteof EngineeringandTechnology, India Payman Dehghanian George Washington University, United States Sameer Al-Dahidi German JordanianUniversity, Jordan Wei Wang City University of Hong Kong,Hong Kong xv CHAPTER 1 Reliability optimization of power plant safety system using grey wolf optimizer and shuffled frog-leaping algorithm Mohamed Arezki Mellala,b,Abir Frika,and Roumaissa Boutichea LMSS,FacultyofTechnology,M’HamedBougaraUniversity,Boumerdes,AlgeriaaCenterforAdvancedLifeCycle Engineering(CALCE),UniversityofMaryland,CollegePark,MD,UnitedStatesb 1. Introduction Theworldiswitnessinggreatindustrialdevelopmentsinwhichtheneedforhigh-leveloperatingfa- cilitiesleadstogreatcompetition.Inthiscontext,thedesignersmustdevotetheireffortstoincreasethe reliabilityofthesystemstoincreasetheoverallreliabilityofthefacilities.Themostcommondesign objectivesare(1)themaximizationofthesystemreliabilityundertheallowablesystemcostandother designlimits,suchastheweightandvolume;(2)theminimizationofthesystemcostundertheallow- ablesystemreliabilityandtheotherdesignlimitsforthesingle-objectivereliabilityoptimizationprob- lems (ROPs); or (3) a combination of considerations, such as system reliability and cost for the multiobjective ROPs.Systemreliabilitycouldbe improvedusing three main methods: 1. Redundancy allocation:addredundant components inparallel. This method could be employed usingactiveorstandbycomponents.Ifthestandbyredundantcomponentscannotfailuntiltheyare switchedon,thenitiscalledcold-standbystrategy[1,2].Ifthestandbyredundantcomponentscan failwhentheyareswitchedoffandhavelowerfailureratesthantheactivecomponents,itiscalled warm-standbystrategy.Insomereferences,theactivecomponentredundancystrategyiscalledhot- standby strategy [3,4]. 2. Reliability allocation: allocate reliabilitytothe components and/or subsystems ofthe system to meet the overall required system reliability. 3. Reliability-redundancy allocation: a combinationof the allocations1 and 2. Thischapterfocusesonthesingle-objectiveROPs.Thereliability-redundancyoptimizationproblemof apowerplantsafetysystemisaddressedusingthegreywolfoptimizer(GWO)andtheshuffledfrog- leapingalgorithm(SFLA).Itisorganizedasfollows:Section2givesaliteraturereviewofsomepre- vious works related to the ROPs. Section 3 presents the ROP of the investigated power plant safety 1 Nature-InspiredComputingParadigmsinSystems.https://doi.org/10.1016/B978-0-12-823749-6.00008-8 Copyright#2021ElsevierInc.Allrightsreserved.
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