Design and application of the technical training set for plc based power supply unit developed for.docx

Design and application of the technical training set for plc based power supply unit developed for.docx

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Designandapplicationofthetechnicaltrainingsetforplcbasedpowersupplyunitdevelopedfor

sigTOOL:

AMATLAB-basedenvironmentforsharinglaboratory-developedsoftwaretoanalyzebiologicalsignals  OriginalResearchArticle

JournalofNeuroscienceMethods

Thispaperdescribesasoftwarepackage,namedsigTOOL,forprocessingbiologicalsignals.ThepackagerunsintheMATLABprogrammingenvironmentandhasbeendesignedtopromotethesharingoflaboratory-developedsoftwareacrosstheworldwideweb.Asproof-of-conceptofthedesignofthesystem,sigTOOLhasbeenusedtobuildananalysisapplicationfordealingwithneurosciencedatacompletewithauser-friendlygraphicaluserinterfacewhichimplementsarangeofwaveformandspike-trainanalysisfunctions.Theinterfaceallowsmanycommonlyusedneurosciencedatafileformatstobeloaded（includingthoseofAlphaOmega,CambridgeElectronicDesign,CyberkineticsInc.,MolecularDevices,NexTechnologiesandPlexonInstruments）.Waveformanalysisfunctionsselectablefromtheinterfacesupportwaveformaveraging（meanandmedian）,auto-andcross-correlation,powerspectralanalysis,coherenceestimation,digitalfiltering（feedbackandfeedforward）andresampling.Spike-trainanalysesincludeinterspikeintervaldistributions,Poincaréplots,eventauto-andcross-correlations,spike-triggeredaveraging,stimulusdrivenandphase-relatedperi-eventtimehistogramsandrastersaswellasfrequencygrams.User-developedadditionstosigTOOLthatarearchivedanddistributedelectronicallywillbeaddedtothesigTOOLinterfaceon-the-fly,withouttheneedtomodifythecoresigTOOLcode.FullsigTOOLfunctionalitywillbeprovidedtosupporttheuser-developedcode,includingtheabilitytorecordauseractionhistoryforbatchprocessingoffilesandsupportforexportingtheresultsofanalysestoexternalgraphicseditingsoftwareandspreadsheet-baseddataprocessingpackages.

ArticleOutline

1.Introduction

2.ThesigTOOLdevelopmentenvironment

2.1.Fileimportfunctions

2.2.Organizationofdatachannels

2.3.Object-orienteddesign

2.3.1.Thescchannelclass

2.4.Eventfilteringandsubchannelselection

2.5.sigTOOLresultobjects

3.ThesigTOOLGUI

3.1.AddingfunctionstotheGUI

3.2.DesigningGUIs

3.3.Accreditation

3.4.Generatingahistorylog

4.FeaturesofthesigTOOLdataandresultviews

5.Proof-of-concept

6.Discussion

AppendixA.Supplementarydata

References

风电科技（集团）股份有限公司是中国第一家自主开发、设计、制造和销售适应全球不同风资源和环境条件的大型陆地、海上和潮间带风电机组的专业化高新技术企业。

风电实现了跨越式的发展，2008年新增风电装机容量1403MW，行业排名中国第一、全球第七；2009年新增风电装机容量3510MW，行业排名中国第一、全球第三。

风电肩负重大装备国产化的历史使命，以向全世界、全人类奉献清洁能源为己任，以“挑战、创新、超越”为核心企业文化，以技术创新、国产化、规模化、大型化、国际化作为长期发展战略，创造了风电设备制造业多个第一和奇迹：

引进国际先进的兆瓦级风电机组技术；打造完成完善的兆瓦级风电机组国产化配套产业链；实现国产化兆瓦级风电机组规模化生产；开发了可适应全球各种风资源条件和环境条件的1.5MW系列化风电机组；完成了具有自主知识产权的国际主流、技术先进的3MW系列陆地、海上及潮间带风电机组的研制工作，并批量生产；完成了具有自主知识产权的5MW风电机组的科研开发工作；同时，完成了欧洲以外全球海上风电场、国家海上风电示范工程-上海东海大桥3MW风电机组的供货任务，首批机组已投运；正在建设全球技术水平最高、设备最先进、研发和实验能力最强的国家能源海上风电技术装备研发中心……

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文化大厦19层

Service-orientedtechnologyandmanagement:

Perspectivesonresearchandpracticeforthecomingdecade  OriginalResearchArticle

ElectronicCommerceResearchandApplications

Complementarymethodsofsystemusabilityevaluation:

Surveysandobservationsduringsoftwaredesignanddevelopmentcycles  OriginalResearchArticle

JournalofBiomedicalInformatics

Valueofinformationbaseddesignofcontrolsoftware  OriginalResearchArticle

ReliabilityEngineering&SystemSafety

Thispaperpresentsasuggestedalternativetosimplisticmajorityvotingschemesbasedonthevalueofuncertaininformation.Itusessatelliteantennaedeploymentasanillustrativeexample.Controlsoftwareisusedinsatellitestoactivatesystemfunctionslike,e.g.antennadeployment.Thesoftwarereceivesobservationsfromsensorsbuiltintosatellitesandusesthisinformationtotriggerrequiredfunctions.Often,inadvertentactivationanddelayedresponsecanhavesevereconsequences.Hencethewayinwhichsensorinformationisprocessedstronglyinfluencesthesystemperformance.Wediscussanapproachthatmodelsvarious‘design’optionsindetailsothatthesoftwarecontrolflowcanbeoptimisedviadecisiontheory.WegivesomemathematicalbackgroundandanexamplebasedontheCLUSTERsatellitesystemthatwasspunoffadesignproblematEuropeanSpaceResearchandTechnologyCentre（ESTEC）.Ourexampleconsidersthedecisionofwhentodeployasatelliteantenna.Thecontrolsoftwaremustdecidewhentoinspectsensorsandwhentodeploytheantenna.Weshowhowtooptimiseboththeinspectiontimeandthetimetodeploytheantennagiventheresultsoftheinspection.Forourexampleitisimportantthattheconsequencesofthecontrolsoftwaredecisionsareanalysedandmeasuredinmonetarylossassociatedwithfailure.Thisallowsustomeasuretheriskinexpectedlossofmoney.GivencontrolsoftwaredesignsAandBonecancomparethembyobtainingthevalueofinformation.

ArticleOutline

1.Introduction

2.Decisionproblemformulation

3.Uncertaintymodelling

3.1.Parameterspecification

3.2.Optimaldeploymenttime

4.Theoptimalinspectiontime

4.1.Expectedutility

4.2.Theoptimalcontrol-flow

4.3.Discussionoftheresults

5.Conclusion

Acknowledgements

appendixa

Athree-tierknowledgemanagementschemeforsoftwareengineeringsupportandinnovation  OriginalResearchArticle

JournalofSystemsandSoftware

Toensuresmoothandsuccessfultransitionofsoftwareinnovationstoenterprisesystems,itiscriticaltomaintainproperlevelsofknowledgeaboutthesystemconfiguration,theoperationalenvironment,andthetechnologyinbothexistingandnewsystems.Wepresentathree-tierknowledgemanagementschemethroughasystematicplanningofactionsspanningthetransitionprocessesinlevelsfromconceptualexplorationtoprototypedevelopment,experimentation,andproductevaluation.Thethree-tierschemeisanintegratedeffortforbridgingthedevelopmentandoperationcommunities,maintainingstabilitytotheoperationalperformance,andadaptingswiftlytosoftwaretechnologyinnovations.Theschemecombinesexperiencesofacademicresearchesandindustrialpractitionerstoprovidenecessarytechnicalexpertiseandqualificationsforknowledgemanagementinsoftwareengineeringsupport（SES）processes.

ArticleOutline

1.Introduction

2.Knowledgemanagementinsoftwareengineeringsupportandinnovation

2.1.Knowledgemanagementissuesinsoftwareinnovation

2.2.Couplingofknowledgemanagementandsoftwareengineeringprocesses

2.3.Asystematicplanofaction

3.Three-tierschemeofknowledgemanagementforSESandinnovation

3.1.Anotionofcontinuousimprovementprocess

3.2.Athree-tiersoftwareengineeringsupportstructure

4.Practiceofthree-tierknowledgemanagementinSESandinnovation

4.1.OrganizationalstructureofknowledgemanagementinSES

4.2.CouplingtheSESprocessesandknowledgemanagementactivities

4.2.1.Knowledgemanagementatexplorationlevel

4.2.2.Knowledgemanagementatevaluationlevel

4.2.3.Knowledgemanagementatexecutionlevel

4.3.Toolsandmechanismsforthree-tierknowledgemanagementinSES

5.Conclusion

References

Design-to-fabricationautomationforthecognitivemachineshop  OriginalResearchArticle

AdvancedEngineeringInformatics

Tomeettherisingdemandsforpurecustomizationofproducts,newapproachesforautomatedfabricationofcustomizedpartgeometryareneeded,onboththesoftwareandhardwareside,thatbalanceflexibility,robustnessandefficiency.Thisisagreatchallengesincetodayitrequiressignificanthumanexpertisesupported,onlypartially,bycomputer-aidedapproaches.Thispaperintroducesanewapproachandframeworkforanautonomousdesign-to-fabricationsystemthatintegratescognitivecapabilities,suchasreasoningfromknowledgemodelsandautonomousplanning,andembedstheseinthemachinesthemselvestoautomaticallyfabricatecustomizedparts.Theframeworkintegratesintoacommonprocessautomaticworkpieceselectionusinganontology,generativeCNCmachiningplanningusingshapegrammarsandautomatedfixturedesign,basedonanovelflexiblefixturedevicehardware.Initialresultsaregivenforthemachiningplanningapproachappliedto2.5Dpartswithadefinedapproachdirectionandtheprototypedfixturedeviceispresented.Theadvantagesandpotentialoftheframeworkstemmainlyfromapplyingtheprinciplesofcognitivetechnicalsystemstoafabricationsystemtodevelopanintegratedandon-lineapproach.Themethodsaredevelopedspecificallyforuseonthemachineshopfloortotakeadvantageofthepossibilitytoupdateandextendknowledgemodelstoreflectcurrentfabricationcapabilitiesandtoadapttochangesintheenvironmentandre-planduringoperation.Finally,futuredirections,includingintegratingon-lineperceptionandlearning,arediscussed,whicharerequiredtocreateatrulyflexibleandcognitivefabricationsystem.

ArticleOutline

1.Introduction

1.1.Autonomousdesign-to-fabrication

1.2.Researchcontext:

Thecognitivemachineshop

2.Relatedwork

2.1.Computer-Aided-Design（CAD）/Computer-AidedProcessPlanning（CAPP）/Computer-AidedManufacturing（CAM）

2.2.Automationinfixturedesign

2.3.Cognitivetechnicalsystems

2.4.Ontologiesinmanufacturing

3.Frameworkfordesign-to-fabricationautomation

3.1.Workpieceselection

3.2.Machiningplanningapproach

3.3.Fixtureplanningandre-configuration

4.Results

4.1.Machiningplanning

4.2.Flexiblefixture

5.Discussion

6.Conclusion

Acknowledgements

References

Macroscopictrafficflowmodelling