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Equipment AGI-101 FM agi_gear_tooth_wear ISO 14224 mode M M Source engineering_estimate
齿轮齿面磨损/点蚀
AGI-101 · Agitator
Related equipment → AGI-101
0.82Source conf.
Evidence conf.
MISO 14224 mode
1Failure Mechanism

Function:传递扭矩

Failure cause:齿面接触疲劳/润滑污染致点蚀或断齿

Damage mechanism:齿面接触疲劳/润滑污染致点蚀

2Source Basis (where this FM comes from)
engineering_estimate

Source confidence 0.82: this FM is derived from the ontology KB and cross-validated by engineering_estimate.

3Evidence Chain (supporting basis)
This FM has no offline curated evidence text; it is derived from the ontology KB and cross-validated by the listed standard clauses and related accident investigations.
Governing standards (evidence):
  • std:API 677 — Gear Units for Petroleum, Chemical and Gas Industry Services · 机理级工程估计,非实测;引用 governing standard 作为分类出处
4Related Real Accidents (traceable to accident cards)

This FM is recorded in 1 real accident investigation(s); tap the report no. to open the corresponding accident lesson card.

5Applicable Standards & Clauses
API 677

No separate clause reference.

6Derived Analysis (seeded from this FM)
7/3/6FMEA Sev/Occ/Det
0.04RBI λ
0.7Monitor pdet
6 月Insp. int.

Current tasks:齿面检查 | 油样分析

RCFA incident:齿轮齿面磨损/点蚀:齿面接触疲劳/润滑污染致点蚀或断齿,后果类型 Operational,严重度 7

7RCM Maintenance Decision (strategy landing)
CBMOn-Condition Maintenance
Recommended task无损检测(UT/MT/PT) 监测裂纹萌生, 关键转动件定时拆检; 无损检测(UT/VT/MT/PT), 按 API 581 RBI 风险定级设定检验间隔
Suggested intervalHigh risk 1-3 mo / Medium 6-12 mo / Low risk at turnaround (by API 581 RBI risk ranking)
Decision basis机理类别=corrosion; fatigue
Governing standards
API 570API 571API 579API 581API 612ASME VIII
⚠ This decision is engineering-inferred by RCM logic from the damage mechanism / root cause / failure cause — it is not derived from measured site history. Confirm with the equipment owner and process before execution.
⚠ 本卡技术正文(功能 / 致因 / 损伤机理 / RCFA 叙事)保留中文原文——依可信 AI 红线,自由技术文本不自动机翻、不编造英文译文。UI、设备类型、FM 名、ISO 码、标准号均为英文。
FM agi_gear_tooth_wear · Data from OPC KB and whitelisted public sources, compiled by Reliability AI for reliability demonstration only. Evidence ref codes are internal indices, not public DOIs.