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Full Description
Vibration Problems in Machinesinfer information about the internal operations of rotating machines from external measurements. In doing so, the book examines the vibration signals arising under various fault conditions, such as rotor imbalance, misalignment, cracked rotors, gear wear, whirling instabilities, and other problems. Covering a wide range of techniques required in the monitoring, analysis, and diagnosis of operational rotating machinery, this text:Discusses topics ranging from the presentation of complex data to methods for reconciling model and plant dataDescribes the physical basis of fault signals as well as the necessary signal and data processing techniquesDelivers fresh insight into misalignment phenomena and the future of smart machineryVibration Problems in Machines: Diagnosis and Resolution includes case studies with real plant data, MATLAB (R) scripts and functions for the modelling and analysis of rotating machines, end-of-chapter questions, and a solutions manual with qualifying course adoption. The book provides an invaluable resource for those seeking to optimize the use of complex and often apparently contradictory data.
Contents
IntroductionMonitoring and DiagnosisMathematical ModelsMachine ClassificationConsiderations for a Monitoring SchemeOutline of the TextSoftwareReferencesData PresentationIntroductionPresentation FormatsComparison with CalculationsDetection and Diagnosis ProcessProblemsReferencesModelling and AnalysisIntroductionNeed for ModelsModelling ApproachesAnalysis MethodsFurther Modelling ConsiderationsSummaryProblemsReferencesFaults in Machines - Part 1IntroductionDefinitions: Rigid and Flexible RotorsMass ImbalanceRotor BendsConcluding RemarksProblemsReferencesFaults in Machines - Part 2IntroductionMisalignmentCracked RotorsTorsionNon-LinearityInteractions and DiagnosticsClosing RemarksProblemsReferencesRotor-Stator InteractionIntroductionInteraction through BearingsInteraction via Working FluidDirect Stator ContactThe Morton EffectHarmonics of ContactConcluding RemarksProblemsReferencesMachine IdentificationIntroductionCurrent State of ModellingPrimary ComponentsSources of Error/UncertaintyModel ImprovementApplication to FoundationsImbalance IdentificationExtension to MisalignmentFuture OptionsProblemsReferencesSome Further Analysis MethodsStandard ApproachesArtificial Neural NetworksMerging ANNs with Physics-Based ModelsKernel Density EstimationRapid Transients: Vold-Kalman MethodUseful TechniquesConcluding RemarksProblemsReferencesCase StudiesIntroductionCrack in a Large Alternator RotorWorkshop Modal Testing of a Cracked RotorGearbox Problems on a Boiler Feed PumpVibration of Large Centrifugal FansLow-Pressure Turbine InstabilitiesConcluding RemarksProblemsReferencesOverview and OutlookProgress in InstrumentationProgress in Data Analysis and HandlingProgress in ModellingExpert SystemsFuture ProspectsSummaryReferences
