Additional information
| Class Dates | Jan 27, 2025 – Jan 30, 2025, July 21, 2025 – July 24, 2025, Nov 18, 2024 – Nov 21, 2024 |
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AOV training Courses
VOTES Infinity AOV Advanced Signature Analysis
Class ID: TR-9-91520-HA
Description
Classroom instruction on the analysis of Air-Operated Valve (AOV) performance test data utilizing the VOTES In nity diagnostic system. Students analyze real traces acquired with CRANE® Nuclear diagnostic equipment and learn to recognize healthy traces and those with anomalies such as: stem wear, packing anomalies, stiction, air leaks.
- Standard Class Size: 6 Students per Instructor
- Maximum Class Size: 8 Students per Instructor
- Course Duration: 4 days
- Supplied Materials: Electronic training manual for each student
- Suggested Attendees: Plant instrument and control technicians, electricians and their foreman, engineers, QC and operations personnel
- Course Description: This course covers the analysis of AOV performance test data acquired using the VOTES Infinity AOV diagnostic system. Eight (8) AOV performance tests are described individually: Baseline, Hysteresis & Deadband, Repeatability and Linearity (HDRL), Step Response, Step Sensitivity, Step Resolution, Frequency Response and Static Calibration. Basic AOV construction and function will be reviewed. Test terminology, physics, calculations and trouble-shooting procedures will be taught for the parameters reported in each test. Numerous case studies shall be examined to demonstrate proper diagnostic procedures and troubleshooting practice.
Each student will be required to pass a written test with a minimum score of 80% in order to successfully complete this course. Upon successful completion of this training course, the student will:
- Perform and correctly identify VOTES Infinity AOV test results.
- Become familiar with the physics governing the test parameters and the calculations used in the VOTES Infinity analysis.
- Follow basic trouble-shooting procedures to isolate problem areas.
- Diagnose AOV functional problems and implement effective solutions.
After completing this course, the student will:
- Identify factors that influence the proper function of AOVs.
- Identify AOV problems and implement effective solutions.
- Perform a detailed signature analysis of acquired data.
- Have the ability to determine potential degradations.
- Increase the plant’s self-sufficiency in AOV diagnostic testing.
- Increase the reliability of the plant’s AOVs.
- Reduce the plant’s cost of AOV diagnostic testing
- Standard Class Size: 6 Students per Instructor
- Maximum Class Size: 8 Students per Instructor
- Course Duration: 4 days
- Supplied Materials: Electronic training manual for each student
- Suggested Attendees: Plant instrument and control technicians, electricians and their foreman, engineers, QC and operations personnel
- Course Description: This course covers the analysis of AOV performance test data acquired using the VOTES Infinity AOV diagnostic system. Eight (8) AOV performance tests are described individually: Baseline, Hysteresis & Deadband, Repeatability and Linearity (HDRL), Step Response, Step Sensitivity, Step Resolution, Frequency Response and Static Calibration. Basic AOV construction and function will be reviewed. Test terminology, physics, calculations and trouble-shooting procedures will be taught for the parameters reported in each test. Numerous case studies shall be examined to demonstrate proper diagnostic procedures and troubleshooting practice.
Each student will be required to pass a written test with a minimum score of 80% in order to successfully complete this course. Upon successful completion of this training course, the student will:
- Perform and correctly identify VOTES Infinity AOV test results.
- Become familiar with the physics governing the test parameters and the calculations used in the VOTES Infinity analysis.
- Follow basic trouble-shooting procedures to isolate problem areas.
- Diagnose AOV functional problems and implement effective solutions.
After completing this course, the student will:
- Identify factors that influence the proper function of AOVs.
- Identify AOV problems and implement effective solutions.
- Perform a detailed signature analysis of acquired data.
- Have the ability to determine potential degradations.
