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Agent Skill · 研究检索

vibration-analysis(振动分析)

vibration-analysis 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

vibration-analysis 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 11,406。

总安装 11,316周安装 445GitHub Stars 公开资料未说明下载 3,453核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:vibration-analysis(振动分析)
来源仓库:https://github.com/sertug17/vibration-analysis
安装命令:
openclaw skills install vibration-analysis
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install vibration-analysis

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于分析风力涡轮机传动系统振动数据,支持 CMS 趋势和频谱分析。可处理主轴承、齿轮箱和发电机的 RMS/峰值及 SCADA 警报。适用于工业设备监测与维护场景下的故障诊断。vibration-analysis 属于研究检索类 Skill,可作为该场景下的辅助能力补充。使用前需确认数据来源格式与整理环境兼容性。

建议参考原始文档了解支持的信号类型与分析精度。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install vibration-analysis;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

vibration-analysis 怎么安装?

在终端执行 openclaw skills install vibration-analysis。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

vibration-analysis 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

vibration-analysis 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

vibration-analysis 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

vibration-analysis 用的人多吗?

公开数据是累计安装 11,316 次,近一周安装 445 次,下载 3,453 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

vibration-analysis 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
vibration-analysis

振动分析 · 本页

11,316—需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
wind-turbine-vibration-analysis
description
Analyzes wind turbine drivetrain vibration data (main bearing, gearbox, generator) from CMS trends, RMS/peak values, frequency spectrum, and SCADA alarms. Classifies severity (1-5) and recommends shutdown or monitoring actions.
version
1.0.0
author
Sertug17
license
MIT
metadata
hermes
tags
[Energy, Maintenance, Wind-Turbine, Vibration, CMS, Drivetrain, Gearbox, Generator, Bearing, Spectrum-Analysis]
related_skills
[wind-turbine-gearbox, wind-turbine-blade-inspection]

Wind Turbine Drivetrain Vibration Analysis

Evaluates drivetrain vibration health across three subsystems: main bearing, gearbox, and generator.

When to Use

Load this skill when the user wants to:

  • Assess drivetrain vibration health from CMS or SCADA data
  • Interpret RMS, peak-to-peak, or spectral findings for main bearing, gearbox, or generator
  • Correlate vibration alarms with operational events
  • Decide whether to continue operating, increase monitoring, or shut down

Drivetrain Components

ComponentSensor LocationKey Frequencies
Main BearingNon-drive end, drive endBPFO, BPFI, BSF, FTF
Gearbox LSSLow speed shaftGear mesh (LSS x teeth), bearing defect freqs
Gearbox IMSIntermediate shaftIMS gear mesh harmonics
Gearbox HSSHigh speed shaftHSS gear mesh, bearing defect freqs
Generator NDENon-drive end bearingElectrical harmonics, bearing defect freqs
Generator DEDrive end bearingBearing defect freqs, rotor unbalance

Vibration Thresholds (ISO 10816 / CMS Reference)

LocationNormalWarningCritical
Main Bearing RMS (g)< 0.30.3 - 0.8> 0.8
Gearbox HSS RMS (g)< 0.50.5 - 1.5> 1.5
Gearbox LSS/IMS RMS (g)< 0.30.3 - 1.0> 1.0
Generator RMS (g)< 0.50.5 - 1.2> 1.2
Peak-to-peak step change< 10%10-30%> 30%

Note: Always evaluate against site-specific baseline. A 20% rise from stable baseline is more significant than an absolute value alone.

Frequency Fault Signatures

FaultFrequency Signature
Bearing outer race (BPFO)(N/2) x (1 - d/D x cos a) x RPM
Bearing inner race (BPFI)(N/2) x (1 + d/D x cos a) x RPM
Gear meshnumber of teeth x shaft RPM
Gear mesh sidebandsGMF +/- shaft frequency
Rotor unbalance1x RPM dominant
Misalignment2x RPM dominant, axial component
LoosenessSub-harmonics (0.5x, 1.5x) or high harmonic content

Severity Scale

SeverityLabelDescriptionAction
1HealthyAll values normal, stable trendContinue normal operation
2Early warning1-2 parameters in warning zone, stableIncrease CMS polling frequency
3ModerateMultiple warning flags or single criticalInspect within 2 weeks
4SignificantCritical zone or rapid trend growthPlan shutdown within 48-72 hours
5CriticalMultiple critical flags, step-changeImmediate shutdown required

Procedure

  1. Collect inputs: CMS trend (last 30-90 days), current RMS and peak-to-peak per component, frequency spectrum findings, SCADA alarms, operational context.
  2. Evaluate RMS values against thresholds. Flag Warning or Critical zones.
  3. Analyze trend:

- Stable: value in warning zone but flat for >30 days = lower urgency - Gradual rise: value increasing steadily = schedule inspection - Step change: sudden jump >30% = treat as Critical regardless of absolute value

  1. Interpret frequency spectrum if available:

- Match dominant peaks to fault signatures table - Note sidebands around gear mesh frequencies - Note sub-harmonics or 1x/2x dominance

  1. Correlate with SCADA alarms and operational events.
  2. Assign severity per component, then determine drivetrain-level severity as highest.
  3. Generate output report using the format below.

Output Format

=== DRIVETRAIN VIBRATION REPORT ===

ASSET : [Turbine ID] SITE : [Site name] DATA PERIOD : [Date range of CMS/SCADA data] MISSING DATA : [List any unavailable inputs]

MAIN BEARING: RMS : [value] g - [Normal / Warning / Critical] Trend : [Stable / Gradual rise / Step change] Spectrum : [Key findings or not available] SCADA Alarms : [Count and type] Severity : [1-5] - [Label]

GEARBOX (LSS / IMS / HSS): RMS : LSS [value] g / IMS [value] g / HSS [value] g Trend : [per shaft] Spectrum : [Key findings] SCADA Alarms : [Count and type] Severity : [1-5] - [Label]

GENERATOR (DE / NDE): RMS : DE [value] g / NDE [value] g Trend : [per bearing] Spectrum : [Key findings] SCADA Alarms : [Count and type] Severity : [1-5] - [Label]

DRIVETRAIN SEVERITY : [1-5] - [Label] SHUTDOWN : [Yes / No / Conditional]

FAULT HYPOTHESIS: - [e.g., HSS bearing outer race defect - BPFO peak confirmed at X Hz] - [e.g., Gear mesh sideband modulation - possible gear wear or load variation]

RECOMMENDED ACTIONS: - [e.g., Increase CMS polling to daily for HSS channel] - [e.g., Oil sample with ferrography within 72 hours] - [e.g., Plan HSS bearing replacement at next scheduled outage]

ESCALATION TRIGGERS: - [e.g., RMS exceeds 1.5 g on HSS - immediate shutdown] - [e.g., Step change >30% on any channel - treat as critical] - [e.g., New BPFO or BPFI peak confirmed in spectrum - escalate to Severity 4]

Cross-Skill Correlation

If gearbox visual data is available, load wind-turbine-gearbox skill and cross-correlate:

  • High Fe ppm + rising HSS vibration = active wear confirmation
  • Spalling in borescope + BPFO peak in spectrum = bearing failure progression
  • Normal oil + rising vibration = early fault not yet generating debris (higher urgency)

If blade inspection data is available, check for rotor imbalance:

  • 1x RPM dominant in main bearing spectrum + blade damage = aerodynamic imbalance
  • Asymmetric blade damage across A/B/C = mass or aerodynamic imbalance source

Pitfalls

  • Do not evaluate vibration in isolation. Cross-reference with oil analysis and visual inspection.
  • A single high RMS reading during a storm or grid fault is not a fault indicator. Check operational context.
  • Spectrum analysis requires RPM-normalized data. Raw frequency peaks are meaningless without shaft RPM.
  • Generator electrical faults can appear as vibration. Check electrical data before attributing to mechanical cause.
  • Stable high RMS is less urgent than rapidly rising moderate RMS. Trend rate matters more than absolute value.

Verification

After generating the report, confirm with the user:

  • Does the severity match CMS system alerts or OEM recommendations?
  • Is shaft RPM data available to normalize spectrum frequencies?
  • Are there recent maintenance events that could explain vibration changes?
  • Is SCADA power curve deviation consistent with vibration findings?

平台分布

OpenClaw

77.09%
按下载量换算2,662

安全审计

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Static analysis

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权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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