基于应变传感器的疲劳预测用于补充能源系统中的液压轮机总督伺服电机
Hong Hua1, Zhizhong Zhang2, Xiaobing Liu1
1Key Laboratory of Fluid and Power Machinery, Ministry of Education, Xihua University, Chengdu 610039, China.
Sensors (Basel, Switzerland)
|September 27, 2025
概括
在可再生能源系统中的液压轮机伺服电机遇到疲劳故障. 这项研究引入了使用应变传感器的智能监控系统,以预测疲劳寿命并确保系统可靠性.
科学领域:
- 可再生能源系统可再生能源系统
- 机械工程 机械工程
- 材料科学 材料科学 材料科学
背景情况:
- 风能太阳能水电互补能源系统中的液压轮机控制器伺服电机容易因高频调节而导致疲劳故障.
- 在互补的能源系统中,频繁的运行调整加剧了关键组件的磨损.
研究的目的:
- 开发用于液压轮机伺服电机的智能疲劳监测和预测系统.
- 提高风能太阳能水电互补能源系统的预测性维护和数字操作能力.
主要方法:
- 一个使用电阻应变传感器的多点监控网络,与温度和振动传感器集成,用于多模式数据融合.
- 在一个18.56兆瓦的水力发电机组上进行现场验证,响应时间<1毫秒,SNR为65dB.
- 开发一个模拟模型,将传感器数据与有限元分析 (FEA) 结合起来,用于识别疲劳位置.
主要成果:
- FEA的结果与实验测量结果非常一致 (误差<8%),验证了模拟方法.
- 叉头被确定为关键部件,预测疲劳寿命为1.2 × 10^6周期 (12-16年).
- 蒙特卡洛可靠性分析估计,在20年内,系统可靠性为51.2%.
结论:
- 开发的智能系统为监测和预测液压轮机伺服电机疲劳提供了有效的解决方案.
- 该技术支持对互补的可再生能源系统的预测性维护和数字操作策略.
- 该研究强调了伺服电机健康在集成风能太阳能水力系统的整体可靠性方面的关键作用.
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