PHMAP17 Asia Pacific Conference of the Prognostics and Health Management Society 2017
Asia Pacific Conference of the Prognostics and Health Management Society 2017
July 12(Wed) - 15(Sat), 2017 / Ramada Plaza Jeju Hotel, Jeju, Korea
  • Organized by

Short Course

PHMAP17 offers this two-day intensive short course titled “Advanced Machine Diagnostics and Condition Monitoring” on July 10-11, 2017 in Jeju, Korea right before the conference.

Program Download(English)  Program Download(Chinese)

Course Fellow
Professor Robert B. Randall University of New South Wales Australia Prof. Robert B. Randall
University of New South Wales Australia

Date & Venue
July 10(Mon) - 11(Tue), 2017 / Halla Hall(8F), Ramada Plaza Jeju Hotel, Jeju, Korea



Registration Fee
* Due to limited space, registrations are on a first-come-first-served basis.
Category Pre-registration
(Until May 19, 2017)		 Late/Onsite
(After May 19, 2017)
Professional with Conference Registration USD 550 USD 700
Professional Standalone USD 800 USD 950
Student with Conference Registration USD 350 USD 450
Student Standalone USD 500 USD 600

About the Course:
The course gives an overview of the most up-to-date techniques in machine condition monitoring and diagnostics by vibration analysis and signal processing.

Who should attend:
The course on Advanced Machine Diagnostics and Condition Monitoring is intended for researchers and engineers, active in the field of machine design, maintenance, monitoring and diagnostics, who wish to update their knowledge on recent topics in vibration based condition monitoring. No detailed knowledge of the related topics is required; some general background in the field of machine monitoring is however advantageous.

Reference:
Vibration-based Condition Monitoring: Industrial, Aerospace and Automotive Applications, R. B. Randall

Programme:
The course on Advanced Machine Diagnostics and Condition Monitoring will include, among others, the following topics.

  • Vibration monitoring techniques and applications
    Transducers and their application areas; introduction to all three phases of condition monitoring, i.e. fault detection, diagnosis and prognosis.
  • Basic vibration analysis
    Interpretation of vibrations as an interplay of spring and inertial forces, and the effects of damping forces, primarily near resonances. Graphical impedance/mobility methods (Salter) and importance of whether force or motion is common to the spring/mass/damper elements. Extension to multi degree of freedom (MDOF) systems.
  • Vibration signatures and signal types
    Signal classification - stationary, slowly varying, transient, deterministic, random, cyclostationary; Fault signatures – low harmonics of shaft speed (e.g. unbalance, misalignment); faults in gears, bearings, bladed machines, electrical machines, reciprocating machines.
  • Basic signal processing
    Fourier analysis, including the importance of dimensions, units and scaling of the different forms of the Fourier transform; graphical methods based on the convolution theorem; Hilbert transforms and applications to amplitude and phase demodulation; cepstrum analysis applied to harmonic and sideband families, separation of source and transfer function effects, and detection of echoes; order tracking and angular sampling for variable speed; time/frequency analysis; cyclostationarity and spectral correlation.
  • Specific application areas
    Gears and rolling element bearings and their signal separation by a range of methods – a semi-automated bearing diagnostic technique for cases varying from a high speed gas turbine bearing to the main bearing of a radar tower – IC engines – misfires by torsional vibration – time/frequency analysis.
  • Fault simulation
    With a view to generating data to train neural networks without having to experience vast numbers of actual failures. Illustrated by application to IC engines.

Certificate
A PHM Society Certificate will be provided to each participant completing the course.

Session Chairs
  • - Gyunyoung Heo (Kyung Hee University)
  • - Jeff Bird (TECnos)

Short Course Schedule
DAY 1 - Monday, July 10th
Time Slot Title Contents Notes
08:30 – 09:00 Welcome and Introductions All participants
09:00 – 09:30 Introduction to vibration - based condition monitoring Transducers and their application areas; introduction to all three phases of condition monitoring, i.e. fault detection, diagnosis and prognosis; online vs intermittent monitoring
09:30 – 10:30 Basic vibration analysis Interpretation of vibrations as an interplay of spring, damping and inertial forces. Graphical impedance/mobility methods (Salter) and importance of whether force or motion is common to the spring/mass/damper elements. Extension to multi degree of freedom (MDOF) systems. Introduction to convolution.
10:30 – 10:45 Break
10:45 – 12:00 Vibration signatures and signal types Signal classification – stationary, slowly varying, transient, deterministic, random, cyclostationary; Fault signatures – low harmonics of shaft speed (e.g. unbalance, misalignment); faults in gears, bearings, bladed machines, electrical machines, reciprocating machines.
12:00 – 13:00 Lunch
13:00 – 14:00 Signal processing - Frequency analysis Fourier analysis, including the importance of dimensions, units and scaling of the different forms of the Fourier transform; graphical methods based on interpretation of Fourier analysis in terms of rotating vectors and the convolution theorem.
14:00 – 14:45 Signal processing - Hilbert transform Hilbert transform and calculation by FFT; Amplitude and phase/frequency demodulation; application to envelope analysis, gear diagnostics.
14:45 – 15:00 Break
15:00 – 16:00 Signal separation and enhancement Separation of gear and bearing signals by a variety of methods; enhancement of bearing signals using the kurtogram and spectral correlation.
16:00 – 17:00 Bearing diagnostics A semi-automated method for a wide range of situations and speeds, based on envelope analysis of an optimum demodulation band after separation of bearing signals.
17:00 – 17:15 Group discussion  
18:00 - Dinner (Networking for all participants)
DAY 2 - Tuesday, July 11th
Time Slot Title Contents Notes
08:30 – 09:30 Signal processing -
Cepstrum analysis 		Cepstrum analysis applied to harmonic and sideband families, separation of source and transfer function effects, and detection of echoes
09:30 – 10:30 Signal processing -
Time/frequency analysis 		STFT; wavelet analysis; wavelet packet analysis; Wigner-Ville distribution (WVD); Wigner-Ville Spectrum (WVS)
10:30 – 10:45 Break
10:45 – 11:15 Order tracking Phase/time map; angular resampling; phase demodulation method
11:15 – 12:00 Gear diagnostics TSA and residual analysis; cepstrum analysis; harmonic
and sideband cursor (blind determination of tooth numbers)
12:00 – 13:00 Lunch
13:00 – 13:45 Variable speed Gear and bearing diagnostics with varying speed
13:45 – 14:30 Reciprocating machines IC engine misfire by torsional vibration analysis;
time/frequency methods
14:30 – 14:45 Break
14:45 – 15:45 Fault simulation Generating data to train neural networks without having to experience vast numbers of actual failures; Illustrated by application to IC engines
15:45 – 16:15 Final discussion All participants
PHM Asia Pacific 2017  #702, KSTC Bldg., 22-7 gil, Teheranro, Gangnam-gu, Seoul 06130, Korea
Business Registration Number: 220-82-01671 (The Korean Society of Mechanical Engineers)
 Terms of Use 
 Privacy Policy