在线数字成像刺激传感器用于基于自适应深度学习方法的风力轮轮箱磨损状况监测
Hui Tao1,2, Yong Zhong1, Guo Yang3
1Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou 510640, China.
Sensors (Basel, Switzerland)
|April 27, 2024
概括
本研究介绍了一种先进的深度学习系统,用于实时监控风力轮机变速箱. 该系统准确地检测滑油中的磨损颗粒,从而实现预测性维护并防止故障.
科学领域:
- 机械工程 机械工程
- 人工智能的人工智能
- 状态监控 状态监控
背景情况:
- 风力轮机变速箱是关键部件,需要有效的磨损监测.
- 检测滑油中磨损颗粒的传统方法可能耗时且缺乏实时能力.
- 需要在线监控系统,以早期检测故障并防止灾难性故障.
研究的目的:
- 设计和开发一个在线数字成像激发传感器用于风力发电轮箱磨损状况监测.
- 建立一个实时在线收集滑油中磨损颗粒的架构.
- 提出一种适应性深度学习方法,用于准确的磨损状况诊断和预测性维护.
主要方法:
- 开发了一种数字成像刺激感应架构,用于从滑油中收集磨损颗粒.
- 实施了基于U-Net的前景细分方法,用于预处理磨损颗粒图像.
- 利用水算法进行粒子大小分级,并使用多维变压器 (MTF) 网络进行预测分析.
- 收集了1960年的磨损颗粒图像,实现了高分段精度 (0.9799) 和交叉与联合 (0.9299).
主要成果:
- 在U-Net细分实现了高精度 (0.9799) 和IoU (0.9299) 在预处理磨损颗粒图像.
- 与LSTM和TCN模型相比,多维变压器 (MTF) 网络表现出优异的预测性能.
- 在线监控系统成功触发了三个警报,这些警报通过离线分析进行了验证,从而及时维护了变速箱.
结论:
- 开发的在线数字成像激发传感器和自适应深度学习方法为风力发电变速箱磨损状况监测提供了有效的解决方案.
- 该系统可以实时收集和分析磨损颗粒,促进准确的诊断和预测性维护.
- 该系统的成功实施和验证凸显了其在提高风力轮机可靠性和减少停机时间方面的潜力.
相关概念视频
Wind Turbine Machine Models
129
In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
129
Generator Voltage Control
147
Generator voltage control is crucial for maintaining the stable operation of synchronous generators and wind turbines. In older models, a DC generator driven by the rotor delivers DC power to the rotor's field winding, and the power is transferred through slip rings and brushes. In the latest models, static or brushless exciters are used. Static exciters rectify AC power from the generator terminals and then transfer the DC power directly to the rotor. Brushless exciters, on the other hand,...
147
Turbine-Governor Control
211
Turbine-governor control is crucial for maintaining power system stability by balancing turbine mechanical power output with electrical load demand. This mechanism ensures that generator frequency and rotor speed are within acceptable limits during load variations. Turbine-generator units store kinetic energy due to their rotating masses; this energy is released to meet the load requirement when the load increases. The electrical torque of turbines rises to meet the demand, whereas the...
211
Electro-mechanical Systems
946
Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
946
Faraday Disk Dynamo
2.2K
A Faraday disk dynamo is a DC generator, producing an emf that is constant in time. It consists of a conducting disk that rotates with a constant angular velocity in the magnetic field, perpendicular to the disk's plane. The rotation of the disk causes a change in magnetic flux, which induces an emf, causing opposite charges to develop on the rim and in the center of the disk. The polarity of the induced emf can be determined by the direction of the magnetic field and the direction of the...
2.2K


