WINS' Acoustic Emission Tank Bottom Inspection featured in March 2010 issue of "Tank Storage" Magazine
Level III UT Training course completed in State College, PA, March 2010
WINS presents talk on ultrasonic guided wave potential towards helicopter maintenance to Indian Air force, February 2010
WINS funded by Transportation Research Board to develop Bridge Cable Inspection Technology, February 2010
Watch video of Wireless Acoustic Emission Sensor Network for Bridge Structural Health Monitoring
2010 NDT Training Course Schedule is available now!
WINS acquires state-of-the-art equipment for enhanced Guided Wave Inspection Services for Pipelines and Bridge Cables, November 2009.
WINS delivers Acoustic Emission Level III Training Course in Kuala Lumpur, Malaysia, October 5-9, 2009
WINS is awarded contract with U.S. Department of Energy for developing inspection technology for health monitoring of coal power plant components, August 2009
WINS presents a paper at NYC Bridge Conference titled "Structural health monitoring using wireless acoustic emission sensor network" in August, 2009
WINS is awarded contract with NSF for developing inspection technology for Steel Piles, July 2009
WINS presents "Acoustic emission input to inspection-based bridge maintenance" at the International Conference on Fracture & Fatigue in July, 2009
WINS is awarded Market Access Grant from Pennsylvania IBD to launch Joint Venture in India, May 2009
This course introduces the practical aspects of pattern recognition. Using WINS NDT's Super ICEPak as a framework, the course covers the theory and applications of statistical pattern recognition and neural networks. This course is suitable for:
- Scientists and Engineers involved in the design and application of signal and image interpretation systems and control systems
- Basic Researchers in the engineering, physical, medical, education, environmental and military sciences who wish to apply advanced signal and image analysis and interpretation methods
- Test Engineers and Technicians looking for faster and more effective ways to develop automated testing and control systems.
Course material covers sufficient theoretical background and necessary terminlogy for trainees with no background in pattern recognition as well.
Course Dates
March 22-23, 2010
September 9-10, 2010
December 20-21, 2010
This course is also offered by appointment. Please contact us about your dates of convenience.
Course Location
This course is offered at our facility as well as client sites.
Course Duration
Two days (16 hours)
Course Price
$800 per trainee for group sessions of five or more trainees and $3,000 for individualized company training for up to three persons.
Course Outline
1. Overview of Artificial Intelligence
2. Terminology
3. Knowledge-Based Systems
4. When and When Not to use AI
5. Supervised Learning
6. Unsupervised Learning
7. Pattern Recognition Methods
8. Statistical Pattern Classifiers
9. Neural Networks
10. Waveform Representation
11. Waveform Transformations
12. Feature Extraction
13. Feature Set Optimization
14. Image Representation
15. Classifier Design
16. On-line Classification
17. Multi-Channel Data Acquisition
18. System Hardware and Software Design
19. Studies Case