Fleet vibration RMS - live
Risk vs remaining life matrix
Fleet status
Click any turbine to open its live monitor. Health score blends sensor proximity to thresholds, active defects and alarm load.
AI fleet briefing
Scenario simulation drives a fault into the live stream so you can watch alarms, residuals and recommendations react in real time.
Recommended actions - auto-prioritised
Top-risk asset insights
The three assets the model is most concerned about right now.
Global fleet map
Asset monitor
Live structural sensor channels with thresholds, trends and anomaly flags for the selected turbine.
Live sensor gauges
Green = nominal, amber = warning band, red = alarm band. Updates every second.
Trend
Tower twin - live hotspots
Sensor channel detail
Current reading, status and 10-minute rate of change per channel.
| Channel | Reading | Warn / Alarm | Rate (10 min) | Status | Anomaly |
|---|
Digital twin
A geometry-accurate twin of the selected tower and foundation: each defect located in twin coordinates (z / azimuth / ring / face), live sensor fusion, fatigue & remaining-life screen, repair simulation, twin-confidence radar and ISO 17020 evidence gates.
3D-style tower twin - click a hotspot
Foundation / interface twin
Spatial defect register
Every defect located in the twin coordinate system. Click a row or a tower hotspot.
| Defect | Coordinates (z / az / ring / face) | Mechanism | Action |
|---|
Photographic evidence
Click a tower hotspot to jump to its figure; click a photo to enlarge. Synthetic figures - replace with real drone/inspection photos on import.
Yaw misalignment (live)
Modal frequency drift (live)
Shell strain - crack proxy (live)
Repair scenario simulator
Twin confidence
ISO 17020 evidence gates on the twin
The twin can only be used for reportable work behind these controls. Click a form to open its template.
| Control | Form | Gate |
|---|
SCADA fusion
Turbine controller (SCADA) data is fused with the structural sensors so the model separates load-driven response from genuine structural change - far fewer false alarms in high wind, and real faults caught at low load.
Load-normalised vibration - actual vs SCADA-expected
Power curve - output vs wind
Why this matters
A raw vibration alarm during a storm is usually just high load. The fused model compares each reading against what the operating point (wind, rotor speed, power, pitch) predicts. A persistent gap between actual and expected - the residual - is the early signature of stiffness loss, cracking or loosening, independent of weather. The same fusion flags yaw misalignment and drivetrain overheating from the SCADA feed.
Cross-signal diagnostics
Automatic checks that combine structural and SCADA channels per turbine.
| Turbine | Operating state | Vib vs expected | Yaw alignment | Gearbox temp | Capacity factor | Fused verdict |
|---|
SCADA-derived directional fatigue our edge
We estimate tower/foundation loading and fatigue per wind direction from SCADA (wind speed, direction, turbulence, yaw, thrust) - then target inspection at the worst sectors before installing sensors.
Directional fatigue rose
SCADA-first, sensor-confirmed
Damage-equivalent loads from SCADA estimate tower fore-aft fatigue to roughly 5–10% - enough to prioritise. Sensors then confirm the flagged sectors. The differentiator is the workflow, not the sensor.
Support-structure assurance
DNV-aligned: four boardroom assurance scores instead of one health number, plus stiffness-degradation tracking and expected-behaviour envelopes. A turbine can be physically fine but evidence-poor - or damaged but well-controlled.
Expected structural behaviour
Support-structure stiffness index
Life-extension / repowering gate
Green = reuse candidate · Amber = conditional · Red = not until closed · Black = immediate make-safe.
| Turbine | Stiffness index | Fatigue | Modal drift | Safety | Gate |
|---|
Design basis & compliance evidence
The engineering "birth certificate" per turbine, the SA Construction Regulations duty-holder trail, certification readiness and data confidence - the regulated-engineering layer global SHM vendors don't localise.
Support-structure baseline (DNV-ST-0126)
Data confidence
Construction Regulations 2014 - duty-holder evidence
Every defect and repair mapped to the responsible duty holder and the evidence on file.
| Duty holder | Evidence required | Status |
|---|
Certification-readiness data room
Bankable evidence packages - a readiness view, without overclaiming certification.
| Package | Evidence required | Status |
|---|
Software-generated assurance intelligence. Formal certification remains the statutory domain of ECSA-registered professionals; this is a readiness view, not a certificate.
Quality management system - SANAS Type A / ISO/IEC 17020
A digital inspection-body QMS embedded in the platform: clause-to-evidence map, procedure & form register, inspection-workflow controls, readiness tracker and a working form engine. This supports accreditation evidence - accreditation itself still requires demonstrated operation, internal audit, management review and a SANAS assessment.
ISO/IEC 17020 clause conformance - computed live from captured records
| Clause | Title | Status | Evidence forms |
|---|
Status is derived from records actually captured in the tool - not a checklist. As you operate the QMS (equipment, declarations, inspections, audits, reviews) clauses move Gap → Partial → Operating and readiness rises. This is your accreditation evidence trail toward Type A inspection-body (AIA) status.
Active alarm inbox
Anomaly detection log
Z-score > 3σ against each channel's rolling baseline - catches drift the fixed thresholds miss.
Threshold configuration
Adjust warning/alarm limits live. Changes re-evaluate the whole fleet instantly.
Alarm history
Chronological record of raised, acknowledged and cleared events.
| Time | Turbine | Channel | Severity | Value | Type | State |
|---|
Work orders
Turn alarms into tracked maintenance actions. Saved in your browser between sessions.
| Turbine | Issue | Priority | Status | Created | Manage |
|---|
Health degradation & RUL forecast
Fatigue damage accumulation (Miner's rule)
Modal frequency drift - stiffness loss
Recommended maintenance forecast
Remaining useful life register
Model-based RUL combines design life, age, condition factor and accumulated fatigue. Indicative only - confirm with a Pr Eng residual-life assessment.
| Turbine | Age / design life | Condition factor | Fatigue used | Modal drift | Est. RUL | Recommended action |
|---|
Inspection & evidence
Defect register and synthetic evidence cards linked to the live monitoring picture.
Defect schedule
| ID | Type | Location | Priority | Mechanism | Action |
|---|
Evidence cards
Commercial, legal & claims intelligence
Converts monitoring evidence into insurance, warranty and budget decision packs.
Commercial value layer
Book value, replacement cost, repair capex, downtime exposure and revenue-at-risk linked to each defect class and alarm.
Legal defensibility
Every claim carries source evidence, timestamp, sensor trace, inspector, standard, causation, duty holder and mitigation trail.
Warranty / LTSA
Separates design defect, construction defect, maintenance defect, normal wear and force-majeure arguments.
Claims workflow
Commercial / legal register
| Turbine | Exposure | Legal evidence | Position |
|---|
Claim causation classifier
Converts monitoring data into a defensible claim position - the commercial edge over raw SHM.
| Turbine | Observed condition | Probable category | Likely mechanism | Exposure |
|---|
Repowering & residual value
How structural condition and monitoring data drive tower/foundation reuse and asset value.
Residual value by turbine
Reuse certification gates
| Turbine | Age / remaining life | Condition factor | Indicative value | Repowering gate | Decision |
|---|
Fleet register
Asset hierarchy and full metadata. Replace demo records with client imports.
Tower types in fleet
| Turbine | Wind farm | OEM / model | Tower type | Foundation | Capacity / age | Health | Defects |
|---|
Sensors & IoT - cost & O&M
What it costs to instrument a turbine, what keeps the sensors running, and how the numbers scale to a fleet. Figures are industry-typical ranges in USD - adjust to your quotes and currency.
Sensor bill of materials (per turbine)
A full structural-health package. The operational/drivetrain CMS and the SCADA feed are listed separately below.
| Sensor / device | Qty | Unit cost (USD) | Line total | Measures | Calibration | Service life |
|---|
CAPEX / OPEX calculator
O&M requirements
Measurement concept builder
Pick the failure mode you need to monitor - TowerSentry recommends the sensor package, so clients don't waste money instrumenting everything.
SCADA = near-zero sensor cost
SCADA data already streams from the turbine controller. Fusing it costs integration time, not hardware - a protocol bridge (OPC-UA / Modbus / API), no sensors to buy or maintain. It is the cheapest accuracy upgrade available.
Wired vs wireless
Wireless IoT (solar + battery, cellular) cuts install labour and cabling at height dramatically, at the cost of battery service every 3–5 yrs and data-plan OPEX. Wired/vibrating-wire lasts longer and needs less power maintenance but costs more to install.
Payback logic
A single avoided foundation/tower failure or emergency crane mobilisation (≈ $200k–$2m+) pays for fleet-wide monitoring many times over.
Cost basis: basic vibration CMS ≈ $3,000–$8,000/turbine hardware + ≈ $2,000 install + ≈ $750/yr service (NRG Systems / Windpower Monthly); full structural SHM adds tilt, strain, settlement and bolt-load instrumentation (Worldsensing, Canary Systems, Encardio Rite, Resensys, HBK). Ranges are indicative - confirm with vendor quotes.
TowerSentry executive monitoring report
Generated from synthetic live data ·