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Hands-on Machine Vibration Analysis with Emphasis on Signal Analysis and MCSA/VFD issues

A Practical Course on Advanced Vibration Analysis & Condition Monitoring taught by world recognized experts

Date: Sunday 14 May & Monday 15 May, 2017 ( 8:30 am to 5:00 pm each day)

Virginia Beach, VA, USA


By Dr. Suri Ganeriwala, Spectra Quest, Inc. Richmond, VA, USA

Email: suri@spectraquest.com

Tony Barlow (CAT IV), Chevron

Mobile, Alabama

Email: wbdn@chevron.com


Course Details: This course will cover basics of machine vibration analysis with an emphasis on signal analysis, motor current signature analysis (MCSA), and the variable frequency drive (VFD) interference issues.  We will present the essential mathematical structure of the digital signal processing (DSP) so that you can maximize the benefits of your data collectors and analysis tools.  The aim is to remove some of the misconceptions and myths prevalent amongst the current vibration analysis professionals regarding the signal processing.  The fundamental basis of DSP is digital Fourier transform (DFT) which is based on the sound mathematical structure. By learning it you can understand how the data collectors and software work.  Another important aspect of this practical course is to introduce the induction motor current signature analysis (MCSA) and the VFD interferences issues.  Most induction machines are operated using VFDs which create unwanted interference in the signal analysis.  We plan to explain these concepts and illustrate them using simulation as well as hands-on demonstrations using machinery fault simulators.  You will learn how to set Fmax and resolution based on sound technical basis.  We will show you if your resolution is good enough to separate closely spaced peaks just by examining the spectra. The topics will include an overview of condition monitoring, instrumentation, and vibration theory; signal processing principles like sampling, resolution, aliasing, leakage, windowing, and step-by-step development of DFT.  Hands-on experiments will be performed on misalignment, unbalance, bearing faults, induction motor faults using machinery fault simulators.  Work stations will be available for attendees to collect seeded fault data and analyze the results. Each work station will include a fault simulator, data acquisition and analysis software, and sensors. Rather than giving pure theory, the concepts will be illustrated with diagnostic examples, hands-on experiments, and computer simulation.  Adequate PCs will be provided and networked to facilitate the data analysis and group discussion.  This unique course will provide sufficient material on signal processing to vibration analysts preparing for CAT II and CAT III certification exams.

For details about MFPT 2017 and course flyers and registration please click: http://www.cvent.com/events/mfpt-2017/custom-36-a96f26781ac644c8b0d41dbc69f7b540.aspx


Attendees will be offered 20% discount Signal Processing and Simulation Software priced at $495.00

Click here to download a power point:

http://spectraquest.com/software/details/em/

http://www.spectraquest.com/spectraquest/productdocs/softwares/


Who Should Attend:
  • Student interested in machine vibration analysis and fault diagnosis
  • Vibration Analyst with ISO Category I and preparing for CAT II & III certification exams
  • Research and development professional working in diagnostics.
  • Vibration Analyst preparing for Category III or IV Exams

Schedule at a Glance
Session 1 Introduction to Condition Monitoring
Session 2 Vibration Theory, Transducers, and Data Acquisition
Session 3 Digital Signal Processing Theory-I
Session 4 Digital Signal Processing Theory-II
Session 5 Rotor Unbalance and Misalignment Vibration
Session 6 Hands-on Experiments on Unbalance and Analysis
Session 7 Bearings Vibration Analysis
Session 8 Hands-on Experiments on Bearing and Data Analysis
Session 9 Induction Motor and Variable Frequency Drive Issues
Session 10 Hands-on Experiments on Induction Motor and VFD and Analysis
 
Speakers:

Dr. Suri Ganeriwala is founder and president of Spectra Quest, Inc.  Suri has expertise in signal processing and diagnostics, modal analysis, finite element modeling, and constitutive modeling of amorphous (polymer) materials.  He has been invited speaker in several international conferences around the world.  Dr. Ganeriwala has implemented successful condition monitoring and diagnostics program in industrial settings.  Suri has developed unique products for education and research in wind energy, machine fault diagnosis, teaching fundamentals of vibration, controls, and dynamics and kinematics of machines.  SpectraQuest’s flagship products Machinery Fault Simulators (MFS) and Drivetrain Diagnostics/Prognostics Simulators are his brainchild from concept to completion.  These devices have been sold in over forty five countries around the world for research and teaching.  He has over thirty years of industrial and academic experience in machinery fault diagnosis, signal processing, vibration analysis and control.  He has authored over seventy papers, technical reports and articles in journals, magazines, and books.  He obtained a Ph.D. in Mechanical Engineering from The University of Texas at Austin.

Tony Barlow, is a Rotating Equipment Reliability Vibration Analyst SME for Chevron Corporation. He has over fifteen years of experience in the condition monitoring field in industries such as: pulp and paper manufacturing, power distribution, and the petrochemical industry. He currently holds NDT certifications in: Vibration Analysis (CAT IV), Machinery Lubrication Analyst (MLA I), Airborne Ultrasonics (UE Level I), and Infrared Thermography (Level I). He is a member of the Vibration Institute serving on the CAT I-III certification committee and also serves on the MFPT Board of Directors as a Member-at-Large.


Preliminary Course Agenda

 Day 1

 Morning Sessions

 8:30 – 8:45 AM        Session 1     Introduction to Condition Monitoring

 Condition monitoring techniques and types, nature of machinery vibration, modeling machine as a dynamic system, vibration as a condition monitoring technique

 8:45 – 9:45               Session 2     Introduction to Vibration Theory          

 Describe concepts of spring, mass, and dashpot, single degree of freedom system, free and forced responses, resonance, combined response, machine non-linearity and transfer path frequency  response, and the scope of vibration analysis

 9:45 – 10:15             Session 2     Transducers and Vibration Measurements   

 Describe principles of accelerometers, proximity probes, and velocity transducers, and important issues associated with them, basics of the data acquisition, and vibration data representation

 10:15 – 10:30           Coffee Break

 10:30 – 12: 00          Session 3     Digital Signal Processing Principles – I

 Types of signals, time and frequency domains representation, Fourier series/transform, development of the digital Fourier transform, FFT, aliasing and leakage, windows and types to minimize  leakage, and application specific selectivity of windows

 12:00 – 1:00 PM   LUNCH

 Afternoon Sessions

 1:00 – 2:45 PM        Session 4     Digital Signal Processing Principles – II

 Relationship amongst sample rate (Fmax), data block size, windows, and spectral resolution, practical applications to resolve closely spaced spectral peaks, spectral amplitude variation due speed  fluctuation, simulation software and case histories for demonstration

 2:45 – 3:00    Coffee Break

 3:00 – 3:30               Session 5     Unbalance and Misalignment Vibration Analysis

 Introduction to common rotor related faults such as unbalance and misalignment.

 3:30 – 5:00               Session 6     Hands-on Unbalance/misalignment experiments and Analysis

 Perform experiments on unbalance and misalignment, data analysis and discussion

Day 2

 Morning Sessions

 8:30 – 10:00 AM      Session 7     Bearings Vibration Analysis

 Describe bearing fault signature and common analysis techniques including enveloping. Case histories and bearing vibration analysis

 10:00 – 10:15           Coffee Break

 10:15 – 12:00           Session 8     Hands-on data collection on bearing fault and the data analysis and class room discussion

 Perform experiments with inner and outer race faulted bearings. Analyze the data and class room discussion of the results.

Afternoon Sessions

 1:00 – 2:30               Session 9     Induction motor and variable frequency drive basic theory and analysis

 Describe induction motor and the variable frequency drive operating principles and induction motor fault frequencies and application of motor current analysis

 2:30 – 2:45               Coffee Break

 2:45 – 5:00               Session 10   Hands-on experimentation induction motors and VFD

 Perform experiments on induction motors faulted with broken rotor bars and air gap eccentricity.  Analyze the data and class room discussion.  Observe VFD related frequencies and learn what to  do to avoid and handle it.