An automated diagnostic tool for evaluating wind turbine drivetrain vibration health and classifying fault severity using CMS and SCADA data.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install vibration-analysis
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install vibration-analysis using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Wind Turbine Drivetrain Vibration Analysis?
The Wind Turbine Drivetrain Vibration Analysis skill is a professional-grade diagnostic module designed for the Openclaw Skills ecosystem. It provides wind energy technicians and engineers with a structured framework for interpreting complex Condition Monitoring System (CMS) data. By analyzing vibration trends across main bearings, gearboxes, and generators, the skill identifies mechanical anomalies before they lead to failure. It synthesizes RMS values, frequency spectrum signatures, and SCADA alarms into actionable intelligence.
Utilizing this skill within Openclaw Skills allows operators to move beyond simple alarm monitoring toward sophisticated predictive maintenance. It applies ISO 10816 standards and specific drivetrain fault signatures—such as BPFO, BPFI, and gear mesh harmonics—to provide a clear severity rating. This ensures that maintenance resources are directed where they are most needed, maximizing turbine uptime and component longevity.
Wind Turbine Drivetrain Vibration Analysis Use Cases
- Assessing overall drivetrain vibration health from historical CMS or real-time SCADA data streams.
- Interpreting spectral findings to pinpoint specific defects in main bearings, gearbox shafts (LSS, IMS, HSS), or generators.
- Correlating vibration alarms with operational events to distinguish between actual faults and transient environmental conditions.
- Determining maintenance urgency and shutdown requirements based on standardized severity scales.
- Validating the effectiveness of recent drivetrain repairs or component replacements.
How Wind Turbine Drivetrain Vibration Analysis Works
- Collect diagnostic inputs including CMS trends, current RMS values, peak-to-peak data, and frequency spectrum findings.
- Evaluate RMS values against ISO 10816 and CMS reference thresholds to identify warning or critical zones.
- Analyze vibration trends over time to distinguish between stable baselines, gradual rises, and dangerous step changes.
- Interpret frequency spectra by matching dominant peaks to known mechanical fault signatures like gear mesh sidebands or rotor unbalance.
- Cross-reference vibration findings with SCADA alarm logs and specific operational context like wind speed or power output.
- Assign a comprehensive severity score (1-5) for each component and the drivetrain as a whole.
- Generate a detailed Drivetrain Vibration Report within the Openclaw Skills interface, including fault hypotheses and recommended actions.
Wind Turbine Drivetrain Vibration Analysis Setup
To integrate this diagnostic capability into your workflow, install it via the CLI:
# Install the vibration analysis skill
openclaw install wind-turbine-vibration-analysis
# Configure site-specific vibration thresholds
openclaw config vibration-analysis --threshold-file ./site-baseline.json
Wind Turbine Drivetrain Vibration Analysis Data Schema & Taxonomy
The skill organizes analysis data into a standardized report structure for clarity and historical tracking:
| Data Group | Fields Included |
|---|---|
| Asset Header | Turbine ID, Site Name, Data Period, and identify any Missing Data. |
| Component Analysis | RMS values, Trend status (Stable/Rise/Step), and Spectrum findings for Bearing, Gearbox, and Generator. |
| Severity Metrics | Numeric rating (1-5), Label (e.g., Healthy, Significant), and Alarm count. |
| Diagnostic Logic | Fault Hypotheses, Shutdown Status, and specific Escalation Triggers. |
| Maintenance Plan | List of Recommended Actions, such as oil sampling or borescope inspection. |
Wind Turbine Drivetrain Vibration Analysis Advanced Features
- Multi-agent correlation: Seamlessly integrates with Openclaw Skills for gearbox oil analysis to confirm active wear through high Fe ppm counts.
- Imbalance detection: Works with blade inspection data to identify aerodynamic or mass imbalances using 1x RPM dominant spectrum signatures.
- Automated fault signatures: Automatically calculates BPFO, BPFI, and GMF frequencies based on shaft RPM normalization.
- Trend-sensitive alerting: Prioritizes rapid trend growth and step changes over absolute RMS values to catch early-stage failures.
- Comprehensive escalation logic: Generates specific triggers for immediate shutdown based on critical zone incursions or high-percentage step changes.
SKILL.md
Loading
Related Openclaw Skills
Wind Turbine Gearbox Intelligence
An intelligent diagnostic tool for assessing wind turbine gearbox health and classifying maintenance severity levels based on multi-sensor data.
Wind Turbine Blade Inspection Intelligence
A specialized tool for classifying wind turbine blade damage and generating structured inspection reports from visual data.
OpenFleet
A comprehensive orchestration skill for managing autonomous multi-agent fleets, task lifecycles, and automated work pulses directly from your terminal.
Value Tracker Skill
A dedicated tool for quantifying the time saved and financial ROI generated by AI assistant workflows.
lmfiles
A lightweight CLI-based file hosting service designed for AI agents and LLM workflows to share public download links.
lmfiles
A lightweight file hosting service providing public download links via CLI and API for automated AI workflows.
Featured*
