Turbine Drive Train RUL Prediction Using Equivalent Operating Hours
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for determining the residual useful life of wind and water turbines are inaccurate due to assumptions about operating profiles, leading to premature failures, as they fail to reliably account for actual operational conditions and differentiate between vibrations indicative of damage and those that are not.
Innovation Solution
A method that calculates Equivalent Operating Hours (EOH) by monitoring operating conditions and using meta-models constructed with response surface methodology to assess damage, comparing EOH values to set limits, and scheduling maintenance based on real-time data from condition monitoring sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vibration threshold is set low to detect all potential damage, then detection sensitivity is improved, but false alarm rate increases
Solution Approach 1:
The patent applies local quality by differentiating between various types of vibrations based on their characteristics (frequency, amplitude, pattern) rather than using a single universal threshold. The system identifies specific vibration signatures associated with different fault types (gear tooth damage, bearing defects, rotor imbalance) and applies targeted analysis methods to each, improving detection accuracy while reducing false alarms from normal operational vibrations.
Solution Approach 2:
The system dynamically adjusts vibration thresholds and analysis parameters based on operating conditions (speed, load, temperature). Instead of fixed thresholds, the system adapts its detection criteria to match the current operational state of the turbine, allowing sensitive detection during critical conditions while tolerating normal vibrations during standard operation.
2Ease of operation
If assumed operating profile is used for RUL calculation, then calculation simplicity is improved, but prediction accuracy deteriorates
Solution Approach 1:
The system continuously monitors actual operating parameters (vibration, temperature, power output, operational hours) and feeds this data back into the RUL calculation model. The Equivalent Operating Hours (EOH) methodology accumulates damage based on real-time conditions, adjusting the prediction as actual usage diverges from assumed profiles, thereby maintaining accuracy without sacrificing computational efficiency.
3Reliability
If high vibration threshold is set to minimize false alarms, then reliability is improved, but detection sensitivity deteriorates
Solution Approach 1:
The patent segments the vibration analysis into multiple frequency bands and time-domain characteristics. Instead of a single threshold, the system analyzes different aspects of the vibration signal (low-frequency components for rotor imbalance, mid-frequency for gear issues, high-frequency for bearing defects) separately, allowing sensitive detection of specific fault types while maintaining overall system reliability.
4Ease of manufacture
If design life assumption is used for gearbox, then design simplicity is improved, but actual life prediction accuracy deteriorates
Solution Approach 1:
The system performs preliminary damage accumulation tracking from the moment the gearbox is put into service. By continuously calculating Equivalent Operating Hours based on actual conditions from installation, the system establishes an accurate baseline for remaining life prediction that accounts for the specific operational history of each gearbox, rather than relying on generic design life assumptions.
Data Source
Figure 1
Figure 2
Figure 3~4
AI summary
A method for predicting remaining useful life of a wind or water turbine or component determines in step (116) an EOH for the turbine or component and compares this in step (118) to an EOH limit obtained in step (114). This provides a simple approach to estimating remaining useful life, giving the turbine operator an indication of the condition of turbines or farms under management.