Buch, Englisch, 332 Seiten, Format (B × H): 155 mm x 236 mm, Gewicht: 658 g
Buch, Englisch, 332 Seiten, Format (B × H): 155 mm x 236 mm, Gewicht: 658 g
ISBN: 978-1-4987-2674-0
Verlag: CRC PR INC
Vibration Problems in Machines: Diagnosis and Resolution explains how to infer 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 data
Describes the physical basis of fault signals as well as the necessary signal and data processing techniques
Delivers fresh insight into misalignment phenomena and the future of smart machinery
Vibration Problems in Machines: Diagnosis and Resolution includes case studies with real plant data, MATLAB® 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.
Autoren/Hrsg.
Weitere Infos & Material
IntroductionMonitoring and DiagnosisMathematical ModelsMachine ClassificationConsiderations for a Monitoring SchemeOutline of the TextSoftwareReferences
Data PresentationIntroductionPresentation FormatsComparison with CalculationsDetection and Diagnosis ProcessProblemsReferences
Modelling and AnalysisIntroductionNeed for ModelsModelling ApproachesAnalysis MethodsFurther Modelling ConsiderationsSummaryProblemsReferences
Faults in Machines – Part 1IntroductionDefinitions: Rigid and Flexible RotorsMass ImbalanceRotor BendsConcluding RemarksProblemsReferences
Faults in Machines – Part 2IntroductionMisalignmentCracked RotorsTorsionNon-LinearityInteractions and DiagnosticsClosing RemarksProblemsReferences
Rotor–Stator InteractionIntroductionInteraction through BearingsInteraction via Working FluidDirect Stator ContactThe Morton EffectHarmonics of ContactConcluding RemarksProblemsReferences
Machine IdentificationIntroductionCurrent State of ModellingPrimary ComponentsSources of Error/UncertaintyModel ImprovementApplication to FoundationsImbalance IdentificationExtension to MisalignmentFuture OptionsProblemsReferences
Some Further Analysis MethodsStandard ApproachesArtificial Neural NetworksMerging ANNs with Physics-Based ModelsKernel Density EstimationRapid Transients: Vold–Kalman MethodUseful TechniquesConcluding RemarksProblemsReferences
Case 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 RemarksProblemsReferences
Overview and OutlookProgress in InstrumentationProgress in Data Analysis and HandlingProgress in ModellingExpert SystemsFuture ProspectsSummaryReferences