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Signal Processing Workshop For Machinery Diagnostics
COURSE OBJECTIVE:
The objective of this course is to provide and in-depth examination of digital signal processing concepts, data acquisition issues, and apply them to advanced diagnostics of machinery faults.
PREREQUISITES:
Basic college level calculus.
COURSE DESCRIPTION:
This course will start with the Fourier representation of the data 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 the student will perform numerous hands-on exercises. The knowledge will then be applied to collect and analyze vibration data using VibraQuest software and the Machinery Fault Simulator (MFS). Exercises include common defects such as alignment, balance, bearings, eccentricity, rub, bent shaft, looseness, resonance, gearing, belt, etc. The student will install all hardware, configure the machine for specific exercises, collect data, perform analyses, and issue reports.
The instruction is performed in a classroom setting with workstations arranged for conducting controlled exercises. Each workstation consists of a MFS with a variety of fault kits, an 8-channel data acquisition system with a PC, software for simulating signal processing concepts, training and data analysis software, fully wired sensors, and necessary accessories such as tachometer, strobe, etc. All the PCs are networked for open exchange of data and enhanced discussion.
COURSE BENEFITS:
- A good understanding of signal processing and how FFT analyzers work.
- Better analysis of machinery faults through improved data extraction.
- Increased confidence in fault diagnosis.
| COURSE LENGTH: | 3½ days |
| COURSE FEE: | $1,695.00 |
| COURSE DATES: | to be announced |
| COURSE LOCATION: | Richmond, Virginia USA |
| INSTRUCTORS: | Suri Ganeriwala, Ph.D., Craig Smith, Ph.D., and Ken Rubert, all of whom have extensive industrial and academic experience. |
Contact us for more details
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