Overview

You will learn about GE’s Mechanical Integrity Standard Practice and how it relates to Risk Based Inspection (RBI). You will identify assets due for Risk Based Inspection. You will view existing Process and Design Data, Inspection History, and Thickness Measurement (TM) data. Finally, you will create a new Risk Based Inspection Component.

You will view Risk Based Inspection Analysis results and view the associated Consequence and Degradation Mechanism Evaluations. You will create a new Risk Based Inspection Analysis and complete Consequence and Degradation Mechanism Evaluations. You will calculate the Analysis, perform simulations, and set its State to Risk Completed.

You will view existing Tasks and Recommendations and then create new Risk Based Inspection Recommendations. You will work through the Recommendation Management Process and link recommendations to existing Inspection Tasks. Finally, you will create a new Inspection Task and Full Inspection and add Thickness Measurements.

Audience

4302 Risk-Based Inspection - 580 is designed for:

• RBI Analysts
• RBI Inspectors
• RBI Administrators and Implementers

When you complete this course, you will be able to:

• Explain the Mechanical Integrity Standard Practice.
• Identify the roles for risk-based inspection.
• Apply configuration options for risk-based inspection.
• Review a risk-based inspection, inspection history data, and thickness measurement data.
• Explain process and design data.
• Explain potential degradation mechanisms.
• Link potential degradation mechanisms and risk-based inspection components to a risk-based inspection system.
• Create a risk-based inspection analysis.
• Complete a consequence evaluation and a degradation mechanism evaluation.
• Calculate the results of a risk-based inspection analysis.
• Conduct what-if simulations.
• Create recommendations based on the results of the analysis.
• Explain the additional analysis options available through inspection management and thickness monitoring.
• Evergreen risk-based inspection analysis results.

Duration

• 8 hours

Delivery Format

• Instructor-led Classroom
• Virtual Classroom
• Onsite

Modules and Topics