wind-turbine-vibration-analysis

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.

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Install skill "wind-turbine-vibration-analysis" with this command: npx skills add vibration-analysis

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
  4. 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
  5. Correlate with SCADA alarms and operational events.
  6. Assign severity per component, then determine drivetrain-level severity as highest.
  7. 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?

Source Transparency

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