Wind Turbine Gearbox Intelligence
Evaluates gearbox condition using five input parameters and produces a structured maintenance report.
When to Use
Load this skill when the user wants to:
- - Assess gearbox health from on-site inspection or sensor data
- Classify damage severity on a 1-5 scale
- Determine whether a turbine should be shut down or kept running under monitoring
- Generate a structured maintenance or escalation plan
Quick Reference
| Input Parameter | What to Collect |
|---|
| Visual inspection | Surface cracks, pitting, spalling, discoloration, debris |
| Oil iron (Fe ppm) |
Iron particle concentration in gear oil (ppm) |
| Temperature (C) | Bearing/gear temperature, normalized to baseline |
| Vibration | RMS or peak-to-peak acceleration (g), frequency anomalies |
| Acoustic / Sound | Noise type: grinding, knocking, whining, clicking |
Fault Thresholds (Reference)
| Parameter | Normal | Warning | Critical |
|---|
| Oil Fe (ppm) | < 100 | 100 - 300 | > 300 |
| Temp above baseline |
< 5 C | 5 - 15 C | > 15 C |
| Vibration RMS (g) | < 0.5 | 0.5 - 1.5 | > 1.5 |
| Acoustic | No anomaly | Intermittent | Continuous |
| Visual | Clean surface | Minor pitting | Spalling/crack |
Common Failure Modes
| Failure Mode | Typical Indicators |
|---|
| Micropitting | High Fe ppm, slight vibration increase, no visible cracks |
| Spalling |
High Fe ppm, elevated vibration, visible surface damage |
| Fatigue crack | Knocking sound, vibration spike at gear mesh frequency |
| Bearing wear | Whining noise, high temperature, broadband vibration increase |
| Oil contamination| Very high Fe ppm, discolored oil, possible foaming |
Procedure
- 1. Collect inputs across all five parameters. If any are unavailable, note as "not measured" and proceed.
- Evaluate each parameter against the thresholds table. Flag Warning or Critical zones.
- Cross-correlate symptoms:
- Fe ppm + vibration increase → wear / spalling progression
- Knocking sound + vibration spike → fatigue crack
- Temperature + whining sound → bearing failure
- Multiple Critical flags → Severity 5
- 4. Assign severity:
- 1 Healthy: All parameters normal. No action required.
- 2 Early wear: 1-2 parameters in warning zone. Increase monitoring frequency.
- 3 Moderate damage: 2-3 parameters in warning/critical. Inspect within 2 weeks.
- 4 Significant damage: Multiple critical flags. Plan shutdown within 48-72 hours.
- 5 Critical: Imminent failure risk. Immediate shutdown required.
- 5. Determine root cause from the failure modes table.
- Generate the output report using the format below.
Output Format
=== GEARBOX HEALTH REPORT ===
ROOT CAUSE : [e.g., Progressive spalling on intermediate shaft gear]
SEVERITY : [1-5] - [Healthy / Early Wear / Moderate / Significant / Critical]
SHUTDOWN : [Yes / No / Conditional]
MONITORING STRATEGY:
- [e.g., Repeat oil sample in 72 hours]
- [e.g., Daily vibration trend monitoring for 1 week]
ESCALATION TRIGGERS:
- [e.g., Fe ppm exceeds 400 - immediate shutdown]
- [e.g., Vibration RMS exceeds 2.0 g - immediate shutdown]
Pitfalls
- - Never assign Severity 5 based on one parameter alone. Cross-validate with at least two sources.
- Temperature readings can be misleading in extreme ambient conditions. Ask for baseline-normalized values.
- Acoustic descriptions are subjective. Ask for noise type and whether continuous or intermittent.
- If sensor data is unavailable, rely on visual and oil condition as primary indicators.
- Do not conflate oil change interval with oil health. New oil can still show high Fe ppm.
Verification
After generating the report, confirm with the user:
- - Does the severity match their on-site observations?
- Are escalation thresholds feasible for their monitoring setup?
- Are there additional data points (CMS trending, historical Fe ppm) that could refine the assessment?
风力发电机齿轮箱智能诊断
利用五个输入参数评估齿轮箱状态,并生成结构化的维护报告。
使用场景
当用户希望实现以下目标时,可加载此技能:
- - 通过现场检查或传感器数据评估齿轮箱健康状态
- 按1-5级划分损伤严重程度
- 确定风机应停机还是保持运行并持续监测
- 生成结构化的维护或升级处理方案
快速参考
| 输入参数 | 需采集的数据 |
|---|
| 目视检查 | 表面裂纹、点蚀、剥落、变色、碎屑 |
| 油液铁含量(ppm) |
齿轮油中铁颗粒浓度(ppm) |
| 温度(℃) | 轴承/齿轮温度,归一化至基准值 |
| 振动 | 均方根或峰峰值加速度(g),频率异常 |
| 声学/声音 | 噪音类型:摩擦声、敲击声、啸叫声、咔嗒声 |
故障阈值(参考)
| 参数 | 正常 | 警告 | 严重 |
|---|
| 油液铁含量(ppm) | < 100 | 100 - 300 | > 300 |
| 高于基准温度 |
< 5 ℃ | 5 - 15 ℃ | > 15 ℃ |
| 振动均方根(g) | < 0.5 | 0.5 - 1.5 | > 1.5 |
| 声学 | 无异常 | 间歇性 | 持续性 |
| 目视 | 表面清洁 | 轻微点蚀 | 剥落/裂纹 |
常见失效模式
| 失效模式 | 典型指标 |
|---|
| 微点蚀 | 铁含量高,振动轻微增大,无可见裂纹 |
| 剥落 |
铁含量高,振动明显增大,表面可见损伤 |
| 疲劳裂纹 | 敲击声,齿轮啮合频率处振动峰值 |
| 轴承磨损 | 啸叫声,温度升高,宽频振动增大 |
| 油液污染 | 铁含量极高,油液变色,可能产生泡沫 |
操作流程
- 1. 收集全部五个参数的输入数据。如有参数缺失,标注为未测量并继续执行。
- 对照阈值表评估每个参数,标记警告或严重区域。
- 交叉关联症状:
- 铁含量高 + 振动增大 → 磨损/剥落发展
- 敲击声 + 振动峰值 → 疲劳裂纹
- 温度升高 + 啸叫声 → 轴承失效
- 多个严重标记 → 严重等级5
- 4. 确定严重等级:
- 1 健康:所有参数正常。无需采取措施。
- 2 早期磨损:1-2个参数处于警告区。增加监测频率。
- 3 中度损伤:2-3个参数处于警告/严重区。两周内检查。
- 4 显著损伤:多个严重标记。计划在48-72小时内停机。
- 5 严重:即将发生失效风险。需立即停机。
- 5. 根据失效模式表确定根本原因。
- 使用以下格式生成输出报告。
输出格式
=== 齿轮箱健康报告 ===
根本原因 : [例如:中间轴齿轮渐进性剥落]
严重等级 : [1-5] - [健康 / 早期磨损 / 中度 / 显著 / 严重]
停机建议 : [是 / 否 / 视情况而定]
监测策略:
- [例如:72小时内重复油样分析]
- [例如:持续1周每日振动趋势监测]
升级触发条件:
- [例如:铁含量超过400 ppm - 立即停机]
- [例如:振动均方根超过2.0 g - 立即停机]
注意事项
- - 切勿仅凭单一参数判定严重等级5。必须至少通过两个来源交叉验证。
- 极端环境温度下温度读数可能产生误导。需询问基准归一化后的数值。
- 声学描述具有主观性。需询问噪音类型及是持续性还是间歇性。
- 如传感器数据不可用,以目视和油液状况作为主要判断指标。
- 不要混淆换油周期与油液健康状态。新油仍可能显示高铁含量。
验证
生成报告后,与用户确认:
- - 严重等级是否与现场观察结果一致?
- 升级阈值是否适用于其监测系统?
- 是否有额外数据点(状态监测趋势、历史铁含量数据)可优化评估结果?