Signal Processing for Machinery Diagnostics
by Dr. Suri Ganeriwala, President, SpectraQuest, Inc., Richmond, VA 23228 USA
December 10-12, 2004

Course Description:
The course will start with the Fourier representation of the signal and continue with the step-by-step development of how the data is processed in a typical FFT analyzer. The course will provide the theory of digital computation, in-depth treatment of issues such as sampling, aliasing, leakage, windowing, averaging, resolution, etc. In addition, techniques for noise reduction and enhancement of dynamic range will be addressed. Some of the concepts will be simulated using specialized software and numerous hands-on exercises.

This knowledge will then be applied to analyze rotating and reciprocating machine malfunctions. Several case histories will be presented. Vibration data will be collected using multi-channel VibraQuest DAQ/software and the Machinery Fault Simulator (MFS). The MFS is a comprehensive, bench-top robust device for learning vibration signatures of common machine faults by introducing one defect at a time or in multiple in a controlled manner. Exercises will include common defects such as alignment, balance, bearings, eccentricity, looseness, resonance, gearing, belt, etc. The results will be analyzed several ways to emphasize the importance of understanding signal processing concepts.

Who Should Attend:
Vibration analysts, engineers and personnel involve in trouble shooting of rotating machinery malfunctions, managers interested in instituting best maintenance practices and continuous improvement in their plants, and those doing research in Condition Monitoring and Diagnostics.

Instructor:

Registration