Document: NUREG-0800
Document ID: ba447c99-c09a-4d8c-84cd-804a2261f17c
Document Type: srp
Title: MAINTENANCE RULE
Source: NUREG-0800
Source URL: https://www.nrc.gov/docs/ML0729/ML072920088.pdf
Revision Date: 2023-06
Chapter: 17
Section ID: 17.6
CFR Part: 
CFR Title: 

Content:
ned), including exceptions and credits and the basis thereof | iv. For condition monitoring criteria, the process that addresses sensing, surveillance, tracking and trending, action levels (predictive maintenance) | v. The process for disposition of SSCs for which effective control of performance or condition is not demonstrated (including not meeting performance criteria or condition monitoring criteria). Conditions under | which the expert panel may justify not placing an SSC in 50.65(a)(1) status when performance criteria are not met or are exceeded as | appropriate should be described | vi. The process for identification and treatment of SSCs categorized in a | "run-to-failure" status 17.6-9 Revision 1 - August 2007 NOTE: The NRC and industry are considering amplification and | clarification of the guidance on “run-to-failure” SSC screening and | treatment considerations. This will also be reviewed during inspection. | 3. Periodic Evaluation in accordance with 10 CFR 50.65(a)(3): The program description for periodic evaluation in accordance with 50.65(a)(3) should | address the following: | A. Scheduling and timely performance of 50.65(a)(3) evaluations B. Documenting, reviewing and approving evaluations, providing and implementing results C. Review of 50.65(a)(1) goals and 50.65(a)(2) performance criteria, condition monitoring criteria, SSC performance and condition history, and effectiveness of corrective action D. Making adjustments to achieve or restore balance between reliability and availability E. Applying Industry operating experience (IOE) | 4. Maintenance Risk Assessment and Management in accordance with 10 CFR 50.65(a)(4): The program description for maintenance risk assessment and management in accordance with 50.65(a)(4) should address how removing SSCs from service will be evaluated, since it is important to be aware of what MR function(s) is/are being lost so the impact of removing multiple SSCs from service can be determined. For qualitative