Wind Turbine Nacelle Sensor System for Remote Condition Monitoring
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Solution Overview
Problem
Current methods for detecting the condition of wind turbines are inefficient, requiring physical inspections that result in downtime and loss of renewable energy, as they cannot effectively monitor internal components before catastrophic failures occur.
Innovation Solution
A system comprising sensors and cameras within the nacelle of wind turbines to measure displacements and temperatures, with processors that analyze data to determine operating conditions and alert users to defects, allowing for remote monitoring and maintenance planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physical inspection by technician is performed, then condition detection accuracy is improved, but wind turbine downtime increases
Solution Approach 1:
The patent replaces manual physical inspection with an automated sensor-based monitoring system. Sensors including proximity sensors, accelerometers, temperature sensors, and visual/thermal cameras are deployed to automatically detect and monitor the condition of wind turbine components such as the rotor, gearbox, and generator, eliminating the need for technician climbing and manual inspection while maintaining continuous operation of the turbine.
Solution Approach 2:
The wind turbine performs self-diagnosis through the integrated sensor system that continuously monitors its own operational parameters. The system automatically detects anomalies in vibration, temperature, displacement, and visual conditions of critical components, enabling the turbine to identify its own condition status without external human intervention, thus avoiding downtime for manual inspections.
2Reliability
If continuous monitoring is implemented, then reliability is improved, but device complexity increases
Solution Approach 1:
The monitoring system employs multi-functional sensors that can detect multiple parameters simultaneously. For example, proximity sensors measure both displacement and vibration, while thermal cameras detect temperature anomalies and visual cameras capture both structural integrity and operational status. This multi-functionality reduces the total number of sensors needed while maintaining comprehensive monitoring coverage, thereby managing system complexity.
Solution Approach 2:
The patent combines multiple types of sensors (proximity sensors, accelerometers, temperature sensors, visual cameras, thermal cameras) into an integrated monitoring system that shares common data processing and analysis infrastructure. The sensor data is consolidated and analyzed together to assess overall turbine health, reducing the complexity that would arise from completely separate monitoring systems for each parameter.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables remote inspection and condition monitoring of wind turbine components, reducing downtime and maintaining energy production by detecting issues before failures, thus enhancing operational efficiency and safety.
Implementation Method 1
a pair proximity sensors of the plurality of sensors, the pair of proximity sensors being mounted adjacent to the rotor for measuring rotor displacement
Implementation Method 2
a first visual image camera having a field of view oriented axially rearward from a main bearing toward a forward side of the gearbox and a second visual image camera having a field of view oriented toward a surface of the coupling
Implementation Method 3
a first thermal camera having a field of view oriented toward the gearbox, and, optionally, a second thermal camera having a field of view oriented toward a hydraulic station
Data Source
AI summary
An exemplary system for determining an operating condition for a wind turbine having a rotor, generator, and gearbox, includes a plurality of sensors mounted within the nacelle of the wind turbine. The system also includes a pair proximity sensors are mounted adjacent to the rotor for measuring rotor displacement. A first processor is connected to receive sensor data from the pair of proximity sensors and is configured to partition the received sensor data into predefined datasets, and a second processor configured to format the predefined datasets for transmission over a network to a processing computer.