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Vibration-based Condition Moni de Robert Bond Randall

Vibration-based Condition Moni

Autor Robert Bond Randall
en Limba Engleză Hardback – 6 iul 2021

Notăm cu interes disponibilitatea resurselor pentru crearea de instrumente virtuale, un punct central al acestei noi ediții publicate de Wiley. Volumul Vibration-based Condition Moni reprezintă o actualizare tehnică riguroasă, extinzând aplicabilitatea monitorizării vibrațiilor de la mediul industrial clasic către sectoarele automotive și aerospațial. Subliniem introducerea metodelor de diagnoză pentru mașini cu viteză variabilă, o necesitate critică în contextul dezvoltării parcurilor de turbine eoliene. Remarcăm organizarea progresivă a materialului, care pornește de la clasificarea semnalelor (staționare, aleatorii sau ciclostaționare) și avansează spre tehnici complexe de procesare. Cuprinsul relevă o trecere logică de la traductoarele de vibrații și analiza Fourier către metode moderne precum transformata Hilbert și operatorul Teager Kaiser (TKEO) în domeniul frecvenței. Dacă Condition Monitoring with Vibration Signals de Hosameldin Ahmed v-a oferit cadrul teoretic și o introducere în algoritmii de clasificare, această lucrare semnată de Robert Bond Randall oferă instrumentele practice necesare pentru implementarea sistemelor de monitorizare în timp real. Autorul demonstrează superioritatea procesării non-cauzale în contextul mentenanței predictive, oferind soluții concrete pentru separarea funcțiilor de forțare și simularea defectelor în stadii avansate, acolo unde seturile de date de tip „big data” sunt adesea insuficiente. Această a doua ediție se distinge prin rigoarea matematică aplicată direct în ingineria mecanică, oferind inginerilor de diagnoză metode îmbunătățite pentru determinarea vitezei instantanee a mașinilor pornind exclusiv de la semnalul de răspuns al vibrațiilor.

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Specificații

ISBN-13: 9781119477556
ISBN-10: 1119477557
Pagini: 448
Dimensiuni: 182 x 261 x 31 mm
Greutate: 0.99 kg
Ediția:2nd edition
Editura: Wiley
Locul publicării:Chichester, United Kingdom

De ce să citești această carte

Recomandăm această lucrare inginerilor mecanici și producătorilor de echipamente care doresc să integreze servicii de monitorizare în produsele lor. Cititorul câștigă acces la metode de ultimă oră în procesarea semnalelor, esențiale pentru diagnosticarea defectelor la mașini cu turație variabilă. Este un ghid practic ce transformă teoria vibrațiilor într-un instrument activ de reducere a costurilor de mentenanță și prevenire a avariilor catastrofale.

Despre autor

Robert Bond Randall este o figură proeminentă în domeniul ingineriei mecanice, recunoscut la nivel internațional pentru contribuțiile sale în analiza vibrațiilor și monitorizarea stării mașinilor. Experiența sa vastă, acumulată atât în mediul academic, cât și în cel industrial, se reflectă în abordarea pragmatică a volumului de față. Randall s-a specializat în dezvoltarea algoritmilor de procesare a semnalelor pentru diagnosticarea defectelor în rulmenți și angrenaje, fiind un pionier în utilizarea analizei cepstrum pentru identificarea surselor de vibrații în sisteme mecanice complexe.

Notă biografică

Robert Bond Randall, is Emeritus Professor in the Mechanical and Manufacturing Engineering Department at the University of New South Wales in Australia. His research focus is on vibration analysis and signal processing applied to machine condition monitoring. He is the Chief Investigator for three Australian Research Council research grants since 2016 alone.

Cuprins

Chapter 1 Introduction and Background 1.1 Introduction 1.2 Maintenance strategies 1.3 Condition monitoring methods 1.3.1 Vibration analysis 1.3.2 Oil analysis 1.3.3 Performance analysis 1.3.4 Thermography 1.4 Types and benefits of vibration analysis 1.4.1 Benefits compared with other methods 1.4.2 Permanent vs intermittent monitoring 1.5 Vibration transducers 1.5.1 Absolute vs relative vibration measurement 1.5.2 Proximity probes 1.5.3 Velocity transducers 1.5.4 Accelerometers 1.5.5 Dual vibration probes 1.5.6 Laser vibrometers 1.6 Torsional vibration transducers 1.6.1 Shaft encoders 1.6.2 Torsional laser vibrometers 1.7 Condition monitoring - the basic problem References Chapter 2 Vibration Signals from Rotating and Reciprocating Machines 2.1 Signal classification 2.1.1 Stationary deterministic signals 2.1.2 Stationary random signals 2.1.3 Cyclostationary signals 2.1.4 Cyclo-non-stationary signals 2.2 Signals generated by rotating machines 2.2.1 Low shaft orders and subharmonics 2.2.2 Vibrations from gears 2.2.3 Rolling element bearings 2.2.4 Bladed machines 2.2.5 Electrical machines 2.3 Signals generated by reciprocating machines 2.3.1 Time-frequency diagrams 2.3.2 Torsional vibrations References Chapter 3 Basic signal processing techniques 3.1 Statistical measures 3.1.1 Probability and probability density 3.1.2 Moments and cumulants 3.2 Fourier analysis 3.2.1 Fourier series 3.2.2 Fourier integral transform 3.2.3 Sampled time signals 3.2.4 The discrete Fourier transform (DFT) 3.2.5 The fast Fourier transform (FFT) 3.2.6 Convolution and the convolution theorem 3.2.7 Zoom FFT 3.2.8 Practical FFT analysis and scaling 3.3 Hilbert transform and demodulation 3.3.1 Hilbert transform 3.3.2 Demodulation 3.4 Digital filtering 3.4.1 Realisation of digital filters 3.4.2 Comparison of digital filtering with FFT processing 3.5 Time/frequency analysis 3.5.1 The short time Fourier transform (STFT) 3.5.2 The Wigner-Ville distribution 3.5.3 Wavelet analysis 3.5.4 Empirical mode decomposition 3.6 Cyclostationary analysis and spectral correlation 3.6.1 Spectral correlation 3.6.2 Spectral correlation and envelope spectrum 3.6.3 Wigner-Ville spectrum 3.6.4 Cyclo-non-stationary analysis References Chapter 4 Fault Detection 4.1 Introduction 4.2 Rotating machines 4.2.1 Vibration criteria 4.2.2 Use of frequency spectra 4.2.3 CPB spectrum comparison 4.3 Reciprocating machines 4.3.1 Vibration criteria for reciprocating machines 4.3.2 Time/frequency diagrams 4.3.3 Torsional vibration References Chapter 5 Some special signal processing techniques 5.1 Order tracking 5.1.1 Comparison of methods 5.1.2 Computed order tracking(COT) 5.1.3 Phase demodulation based COT 5.1.4 COT over a wide speed range 5.2 Determination of instantaneous machine speed 5.2.1 Derivative of instantaneous phase 5.2.2 Teager Kaiser and other energy operators 5.2.3 Comparison of time and frequency domain approaches 5.2.4 Other methods 5.3 Deterministic/random signal separation 5.3.1 Time synchronous averaging 5.3.2 Linear prediction 5.3.3 Adaptive noise cancellation 5.3.4 Self adaptive noise cancellation 5.3.5 Discrete/random separation (DRS) 5.4 Minimum entropy deconvolution 5.5 Spectral kurtosis and the kurtogram 5.5.1 Spectral kurtosis - definition and calculation 5.5.2 Use of SK as a filter 5.5.3 The kurtogram References Chapter 6 Cepstrum analysis applied to machine diagnostics 6.1 Cepstrum terminology and definitions 6.1.1 Brief history of the cepstrum and terminology 6.1.2 Cepstrum types and definitions 6.2 Applications of the real cepstrum 6.2.1 Practical considerations with the cepstrum 6.2.2 Detecting and quantifying harmonic/sideband families 6.2.3 Separation of forcing and transfer functions 6.3 Modifying time signals using the real cepstrum 6.3.1 Removing harmonic/sideband families 6.3.2 Enhancing/removing modal properties 6.3.3 Cepstrum pre-whitening References Chapter 7 Diagnostic Techniques for particular applications 7.1 Harmonic and sideband cursors 7.1.1 Basic principles 7.1.2 Examples of cursor application 7.1.3 Combination with order tracking 7.2 Gear diagnostics 7.2.1 Techniques based on the TSA 7.2.2 Transmission error as a diagnostic tool 7.2.3 Cepstrum analysis for gear diagnostics 7.2.4 Separation of spalls and cracks 7.2.5 Diagnostics of gears with varying speed and load 7.3 Rolling element bearing diagnostics 7.3.1 Signal models for bearing faults 7.3.2 A semi-automated bearing diagnostic procedure 7.3.3 Alternative diagnostic methods for special conditions 7.3.4 Diagnostics of bearings with varying speed and load 7.4 Reciprocating machine and IC engine diagnostics 7.4.1 Time/frequency methods 7.4.2 Cylinder pressure identification 7.4.3 Mechanical fault identification References Chapter 8 Fault simulation 8.1 Background and justification 8.2 Simulation of faults in gears 8.2.1 Lumped parameter models of parallel gears 8.2.2 Separation of spalls and cracks 8.2.3 Lumped parameter models of planetary gears 8.2.4 Interaction of faults with ring and sun gears 8.3 Simulation of faults in bearings 8.3.1 Local faults in LPM gearbox model 8.3.2 Extended faults in LPM gearbox model 8.3.3 Reduced FE casing model combined with LPM gear model 8.4 Simulation of faults in engines 8.4.1 Misfire 8.4.2 Piston slap 8.4.3 Bearing knock References Chapter 9 Fault trending and prognostics 9.1 Introduction 9.2 Trend analysis 9.2.1 Trending of simple parameters 9.2.2 Trending of "impulsiveness" 9.2.3 Trending of spall size in bearings 9.3 Advanced prognostics 9.3.1 Physics-based models 9.3.2 Data-driven models 9.3.3 Hybrid models 9.3.4 Simulation-based prognostics 9.4 Future developments 9.4.1 Advanced modelling 9.4.2 Advances in data analytics References

Descriere scurtă

Vibration-based Condition Monitoring Stay up to date on the newest developments in machine condition monitoring with this brand-new resource from an industry leader The newly revised Second Edition of Vibration-based Condition Monitoring: Industrial, Automotive and Aerospace Applications delivers a thorough update to the most complete discussion of the field of machine condition monitoring. The distinguished author offers readers new sections on diagnostics of variable speed machines, including wind turbines, as well as new material on the application of cepstrum analysis to the separation of forcing functions, structural model properties, and the simulation of machines and faults. The book provides improved methods of order tracking based on phase demodulation of reference signals and new methods of determining instantaneous machine speed from the vibration response signal. Readers will also benefit from an insightful discussion of new methods of calculating the Teager Kaiser Energy Operator (TKEO) using Hilbert transform methods in the frequency domain. With a renewed emphasis on the newly realized possibility of making virtual instruments, readers of Vibration-based Condition Monitoring will benefit from the wide variety of new and updated topics, like: * A comprehensive introduction to machine condition monitoring, including maintenance strategies, condition monitoring methods, and an explanation of the basic problem of condition monitoring * An exploration of vibration signals from rotating and reciprocating machines, including signal classification and torsional vibrations * An examination of basic and newly developed signal processing techniques, including statistical measures, Fourier analysis, Hilbert transform and demodulation, and digital filtering, pointing out the considerable advantages of non-causal processing, since causal processing gives no benefit for condition monitoring * A discussion of fault detection, diagnosis and prognosis in rotating and reciprocating machines, in particular new methods using fault simulation, since "big data" cannot provide sufficient data for late-stage fault development Perfect for machine manufacturers who want to include a machine monitoring service with their product, Vibration-based Condition Monitoring: Industrial, Automotive and Aerospace Applications will also earn a place in university and research institute libraries where there is an interest in machine condition monitoring and diagnostics.