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WINS 2012 NDT Training Course Calendar: Contact us right away!
Level I/II MT/PT course in State College, PA December 12-15, 2011
Level I UT course completed in State College, PA December 5-9, 2011
Level III NDT Consultation Services for procedure development, personnel qualification, training etc. available
WINS expands fiberglass and steel tank inspection capability to include remote visual inspection.
WINS expands fiberglass and steel tank inspection capability to include remote visual inspection.
Level II UT course completed in State College, PA October 6-9, 2011
Level II AE course completed in State College, PA October 24-28, 2011
Level I MT/PT course completed in State College, PA October 10-11, 2011
Level I UT course completed in State College, PA September 26-30, 2011
Level I/II MT course completed in State College, PA September 22-23, 2011
Level I UT course completed in State College, PA September 6-9, 2011
Level I/II MT/PT course completed in State College, PA August 29-31, 2011
UT Weld Inspection course in Somers, CT August 23-25, 2011
Level II UT course completed in State College, PA August 15-19, 2011
Level I UT course completed in State College, PA August 12, 2011
Level II UT course completed in Toronto, OH, July 23, 2011
Level I UT course completed in State College, PA July 15, 2011
Level I/II MT/PT course completed in Mayfield, OH July 8, 2011
Level I/II MT course completed in Indiana, PA June 29, 2011
Level I UT course in State College, PA March 28-April 1, 2011
Level I AE course in State College, PA March 21-25, 2011
WINS President delivered a talk at the ASNT Pittsburgh Chapter on Acoustic Emission on March 17, 2011
View a presentation on the Principles and applications of long range ultrasound
WINS funded by Transportation Research Board to develop Bridge Cable Inspection Technology.
Watch video of Wireless Acoustic Emission Sensor Network for Bridge Structural Health Monitoring
Pattern Recognition in Non Destructive Testing
Course Description
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:
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
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