Machine Vibration Analysis Workshop 11-12 June 2017

11-12 June 2017, ILEC Conference Centre, London, UK  

Sunday 11 June – Monday 12 June
Hands-on machine vibration analysis with emphasis on signal analysis and MCSA/VFD issues
Authors: Dr S Ganeriwala, SpectraQuest Inc, Richmond, VA, USA, and T Barlow, (Category 4), Chevron, Alabama, USA.

Room: TBC
Time: TBC
Full-time delegate £981.00 +VAT
Full-time student £490.50 +VAT

Course Content:
This course will cover the 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 maximise 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 signal processing. The fundamental basis of DSP is digital Fourier transform (DFT), which is based on sound mathematical structures. 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 interference 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 a 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, as well as; 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 and, induction motor faults using machinery fault simulators. Workstations will be available for attendees to collect seeded fault data and analyse the results. Each workstation 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. An adequate number of PCs will be provided and networked to facilitate the data analysis and group discussion. This unique course will provide sufficient material on signal processing for vibration analysts preparing for category 2 and category 3 certification exams.

Signal processing and simulation software will be offered at a 20% discount to all attendees – $495.00
Who should attend?
• Students interested in machine vibration analysis and fault diagnosis.
• Vibration analysts with ISO category 1, who are preparing for category 2 and category 3 certification exams
• Research and development professionals working in diagnostics
• Vibration analysts who want to become experts in diagnostics.

Sunday 11 June
08.30 – 08.45 Session 1 – Introduction to condition monitoring
Condition monitoring techniques and types, nature of machinery vibration, modelling machine as a dynamic system and vibration monitoring as a condition monitoring technique.
08.45 – 09.45 Session 2 – Introduction to vibration theory
Various concepts are described, including: 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.
09.45 – 10.15Session 3 – Transducers and vibration measurements
Principles of accelerometers, proximity probes and velocity transducers are described, along with important issues associated with them, basics of the data acquisition and vibration data representation.
10.15 – 10.30 Tea and Coffee Break
10.30 – 12.00 Session 4 – Digital signal processing principles 1
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 minimise leakage, and application specific selectivity of windows.
12.00 – 13.00 Lunch
13.00 – 14.45 Session 5 – Digital signal processing principles 2
Relationship amongst sample rate (Fmax), data block size, windows, spectral resolution, practical applications to resolve closely spaced spectral peaks, spectral amplitude variation due to speed fluctuation, simulation software and case histories for demonstration.
14.45 – 15.00 Tea and Coffee Break
15.00 – 15.30 Session 6 – Unbalance and misalignment vibration analysis
Introduction to common rotor-related faults such as unbalance and misalignment.
15.30 – 17.00 Session 7 – Hands-on unbalance/misalignment experiments and analysis
Experiments on unbalance and misalignment will be performed, followed by data analysis and discussion.

Monday 12 June
08.30 – 10.00 Session 8 – Bearing vibration analysis
Describe bearing fault signature and common analysis techniques including enveloping. Case histories and bearing vibration analysis.
10.00 – 10.15Tea and Coffee Break
10.15 – 12.00 Session 9 – Hands-on data collection on bearing fault and the data analysis and classroom discussion
Experiments will be performed with inner and outer race faulted bearings. The data will be analysed and a classroom discussion of the results will follow.
12.00 – 13.00 Lunch
13.00 – 14.30 Session 10 – Induction motor and variable frequency drive basic theory and analysis
Description will be given of an induction motor, the variable frequency drive operating principles, the induction motor fault frequencies and application of motor current analysis.
14.30 – 14.45 Tea and Coffee Break
14.45 – 17.00 Session 11 – Hands-on experimentation induction motors and VFD
Experiments will be performed on induction motors faulted with broken rotor bars and air gap eccentricity.  The data will be analysed and a classroom discussion will follow. VFD-related frequencies will be observed and ways to avoid or handle this will be learnt.

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