Improve power performance
Assess wind sensing, yaw, pitch and control deviations; verify energy gains and applicable settlement rules
Wind Engineering ServicesDASHENG TECHNOLOGY
Assess wind sensing, yaw, pitch and control deviations; verify energy gains and applicable settlement rules
Link events, work orders and operating states to losses; distinguish alarms from verified root causes
Investigate lubrication, hydraulics and load indicators; avoid double-counting repair and downtime costs
Value objectives, not verified returns. Define energy, downtime and repair-cost boundaries to avoid double counting.
Current capacity under O&M
Company-provided figure, September 2026Turbine expertise, field verification and engineering judgment
Screen anomalies and track trends with maintenance knowledge
Prioritize checks and prepare repair plans, people and parts
AI supports the process; authorized professionals approve maintenance and operating decisions
| System and symptom | Evidence and field checks | Action and verification |
|---|---|---|
| Yaw: misalignment, frequent moves or slip | Link alignment, power and yaw events; separate sensing, strategy and brake issues | Check offsets; review control and brakes; verify power performance and wear exposure |
| Hydraulics: pressure drops and frequent recharge | Check pressure, pump and actuator states; inspect sensors, leakage and accumulators | Repair the identified circuit issue; retest pressure build-up, retention and response |
| Lubrication and cooling: delivery issues or heating | Review temperature residuals, vibration and work orders; check delivery, filters and cooling | Restore delivery and cooling as justified; track temperature and vibration under comparable conditions |
Problem patterns and investigation routes from supplied material, not confirmed diagnoses. Validate model-specific actions and trade-offs.
| System and symptom | Evidence and field checks | Action and verification |
|---|---|---|
| Measurement: drift, stuck values or scaling errors | Cross-check power, wind and temperature; the source withdrew an initial power-capping diagnosis | Verify instruments, input ranges and scaling; reassess performance using corrected data |
| Control: parameters, parts and versions do not match | Link parameter snapshots and change records to operating groups; verify applicable configuration | Review changes and retain rollback; verify function, protection and operating response |
| Rotor: pitch offsets and blade-angle differences | Combine angle measurement, power and vibration; distinguish sensing, aerodynamic and mass effects | Correct and remeasure to turbine requirements; verify energy and load effects separately |
Problem patterns and investigation routes from supplied material, not confirmed diagnoses. Validate model-specific actions and trade-offs.
Data screening and field inspection
Verify evidence and priorities
Maintenance plan and resources
Condition checks and recurrence tracking
Deliverables: asset records, defect lists, maintenance plans and post-maintenance reviews
Case and application
Three yaw-angle distributions differ in width. Review power, yaw activity and operating conditions.
Records: Check vane zero, deadband and delays. Test under matched conditions and compare alignment and yaw duty.
Median pressure drops: 3.0 / 8.3 / 5.0 bar across three groups, with 59 turbine summaries.
Records: Check sensors, pumps, valves, accumulators and leakage. Use pressure-holding tests to define repairs.
One turbine over 18 months: temperature residuals versus stop/recovery events. Peak residual: 6.36°C.
Records: Check lubrication, cooling and sensors. Select actions using operating and work-order evidence, then retest.
Source: supplied precision O&M review aggregates. Actions are verification pathways; realized benefits are unverified.
Explore these cases interactively ↗3 yaw-angle frequency distributions
Distribution widths differ. Interpret them with yaw counts and duration, without treating them as measured energy gains.
Check strategy version, wind bins, deadband and delays; assess action count, duration and loading.
If differences persist under matched conditions, test the strategy within a defined scope. Otherwise rebuild a comparable baseline.
Supplied aggregates. Raw sampling, filtering, calibration and independence not reproduced; full sampling window not supplied.
Source case explorer ↗Case and application
Compare the supplied pressure-drop summaries to prioritize turbine-level checks
Verify circuit design, actuation, sensors, accumulators and pump supply before diagnosing damage
| Rank / group | Minimum | Median | Maximum |
|---|---|---|---|
| A n=20 | 2.0 | 3.0 | 5.0 |
| B n=25 | 5.3 | 8.3 | 20.2 |
| C n=14 | 2.0 | 5.0 | 5.0 |
20/25/14 turbines by group; not event counts; sampling period unspecified
Redrawn from supplied summaries. Sampling period, filters and calibration are incomplete; differences do not establish faults or returns.
18 months, one turbine and fleet medians
Temperature residuals and stop events share a monthly index. Temporal proximity does not establish causality.
Match power and ambient temperature; check grease, lubrication supply, cooling and sensors; consolidate alarms into actual events.
If field checks confirm a lubrication or cooling issue, plan maintenance and retest. If measurements or event definitions differ, correct data first.
The source window is Jan 2025–Jun 2026, displayed as month indices. These are repeated observations, not 18 independent turbines. The full temperature-residual model has not been reproduced.
Source case explorer ↗Case and application
Explore ten cases covering wind measurement, yaw, hydraulics, pitch and more.
From system differences to field checks and remediation plans
Redrawn source aggregates. Raw measurements not revalidated. For analytical demonstration, not confirmed diagnoses or verified gains.
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zhuo.wu@ds-techcn.com+86 152 3118 3837Beijing headquarters