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000823704 019__ $$a1004764963$$a1008873208$$a1011955021
000823704 020__ $$a9783319619279$$q(electronic book)
000823704 020__ $$a3319619276$$q(electronic book)
000823704 020__ $$z9783319619262
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000823704 0247_ $$a10.1007/978-3-319-61927-9$$2doi
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000823704 1112_ $$aInternational Conference on Condition Monitoring of Machinery in Non-Stationary Operations$$n(5th :$$d2016 :$$cGliwice, Poland).
000823704 24510 $$aAdvances in condition monitoring of machinery in non-stationary operations :$$bproceedings of the 5th International Conference on Condition Monitoring of Machinery in Non-stationary Operations, CMMNO'2016, 12-16 September 2016, Gliwice, Poland /$$cAnna Timofiejczuk, Fakher Chaari, Radoslaw Zimroz, Walter Bartelmus, Mohamed Haddar, editors.
000823704 2463_ $$aCMMNO 2016
000823704 264_1 $$aCham :$$bSpringer,$$c[2018]
000823704 264_4 $$c©2018
000823704 300__ $$a1 online resource.
000823704 336__ $$atext$$btxt$$2rdacontent
000823704 337__ $$acomputer$$bc$$2rdamedia
000823704 338__ $$aonline resource$$bcr$$2rdacarrier
000823704 347__ $$atext file$$bPDF$$2rda
000823704 4901_ $$aApplied condition monitoring ;$$vvolume 9
000823704 500__ $$aInternational conference proceedings.
000823704 500__ $$aIncludes index.
000823704 5050_ $$aPreface; Contents; 1 Structural Health Monitoring of Aero-Engines in Non-stationary Operations; Abstract; 1 Introduction; 2 Theoretical Basis; 2.1 Stationary Versus Non-stationary Processes; 2.2 Measurement Signals; 2.3 Signal Analysis; 3 Condition Monitoring of Aircraft; 3.1 The Classical Approach; 3.2 The Advisory and Expert Approach; 3.3 Tip Timing Method; 4 Conclusions; References; A New Approach to Tune the Vold-Kalman Estimator for Order Tracking; 1 Introduction; 2 The Vold-Kalman Estimator; 2.1 The Measurement Equation; 2.2 The State Equation; 3 The Tuning of the Vold-Kalman Estimator
000823704 5058_ $$a4 Numerical Example5 Conclusion; References; 3 Estimation of Cyclic Cumulants of Machinery Vibration Signals in Non-stationary Operation; Abstract; 1 Introduction; 2 Problem Formulation; 2.1 Cyclostationarity; 2.2 Pure Versus Impure Second Order Cyclostationarity; 2.3 Spectral Coherence; 3 Proposed Method; 3.1 Biquad Filters; 3.2 Extraction of the First Order Cyclostationary Component; 3.3 Extension to Variable Speed Operation; 4 Application to Real Life Signals; 5 Conclusion; Acknowledgements; References
000823704 5058_ $$a4 Simplified Dynamic Model of a Wind Turbine Shaft Line Operating in Non-stationary Conditions Applied to the Analysis of IAS as a Machinery Surveillance ToolAbstract; 1 Introduction; 2 General Modelling Elements; 2.1 General Approach; 2.2 The Roller Bearing Model; 2.3 Modelling the Gear Coupling; 2.4 Model Assembly and Resolution; 3 Simplified Wind Turbine Model Description; 4 Test of the Model and Results; 5 Conclusion; Acknowledgements; References; 5 Current Signal Analysis of an Induction Machine with a Defective Rolling Bearing; Abstract; 1 Introduction
000823704 5058_ $$a2 Electro-Magnetic-Mechanical Modeling3 Results and Discussion; 4 Conclusion; Acknowledgements; References; 6 Fault Detection in Gears Using Stochastic Resonance; Abstract; 1 Introduction; 2 Brief Description and Application of Stochastic Resonance; 2.1 Numerical Simulations and Analyses; 2.2 Experimental Results and Analyses; 3 Applying Stochastic Resonance to Residual Signals; 4 Applying Stochastic Resonance to High-Pass Filtered Signals; 5 Conclusions; References; 7 The Impact Estimation of Damping Foundations in Dynamics of the Rotor System in Non-stationary States; Abstract
000823704 5058_ $$a1 Introduction2 Object and Methodology of Researches; 3 Diagnostics Methodology; 4 Results of Researches and Comments; 5 Conclusion; References; Journal Article; Book; Knife Diagnostics with Clustering Techniques and Support Vector Machines; 1 Introduction; 2 Experimental Setup; 3 Data Analysis; 3.1 Time Domain Parameters; 3.2 Frequency Domain Parameters; 4 Clustering Analysis; 5 Classification by SVM; 6 Conclusions; References; 9 Stable Distributions and Fractal Diagnostic Models of Vibration Signals of Rotating Systems; Abstract; 1 Introduction
000823704 506__ $$aAccess limited to authorized users.
000823704 520__ $$aThis book provides readers with a snapshot of recent methods for non-stationary vibration analysis of machinery. It covers a broad range of advanced techniques in condition monitoring of machinery, such as mathematical models, signal processing and pattern recognition methods and artificial intelligence methods, and their practical applications to the analysis of nonstationarities. Each chapter, accepted after a rigorous peer-review process, reports on a selected, original piece of work presented and discussed at the International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO’2016, held on September 12 – 16, 2016, in Gliwice, Poland. The contributions cover advances in both theory and practice in a variety of subfields, such as: smart materials and structures; fluid-structure interaction; structural acoustics as well as computational vibro-acoustics and numerical methods. Further topics include: engines control, noise identification, robust design, flow-induced vibration and many others. By presenting state-of-the-art in predictive maintenance solutions and discussing important industrial issues the book offers a valuable resource to both academics and professionals and is expected to facilitate communication and collaboration between the two groups.
000823704 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 3, 2017).
000823704 650_0 $$aMachinery$$xMonitoring$$vCongresses.
000823704 7001_ $$aTimofiejczuk, Anna,$$eeditor.
000823704 7001_ $$aChaari, Fakher,$$eeditor.
000823704 7001_ $$aZimroz, Radoslaw,$$eeditor.
000823704 7001_ $$aBartelmus, Walter,$$eeditor.
000823704 7001_ $$aHaddar, Mohamed,$$eeditor.
000823704 77608 $$iPrint version: $$z9783319619262
000823704 830_0 $$aApplied condition monitoring ;$$vvolume 9.
000823704 852__ $$bebk
000823704 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-61927-9$$zOnline Access$$91397441.1
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000823704 980__ $$aEBOOK
000823704 980__ $$aBIB
000823704 982__ $$aEbook
000823704 983__ $$aOnline
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