The wireless measuring instrument for hydroturbine axial alignment based on extreme value fast optimization.

IF 1.7 4区 工程技术 Q3 INSTRUMENTS & INSTRUMENTATION
Ang Li, Yongfei Wang, Xiaofei Li, Pengxiang Liang, Junxian Zhu, Xi Wang
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Abstract

To mitigate the challenges of inaccuracies and inefficiencies in manual alignment of hydroturbine shafts, a wireless measuring instrument for axial alignment based on extremum fast optimization is designed. The proposed method introduces three primary innovations. First, a wireless sensing and measurement system is established by strategically deploying grating displacement sensors and angular encoders at multiple critical locations, integrated with LoRa wireless transmission technology. This configuration enables 360° continuous data acquisition, effectively eliminating the constraints of traditional eight-point discrete measurement methods that require fixed-point positioning and manual coordination. Second, an enhanced simulated annealing (SA) extremum optimization algorithm is developed, incorporating an adaptive step-size perturbation model, a multi-stage annealing process with a restart mechanism, and a flexible temperature decay strategy. These improvements address the common shortcomings of conventional SA algorithms, such as fixed step sizes that cause local optimum trapping and slow convergence, thereby enabling precise and rapid identification of extremum points in axis deflection curves. Third, sinusoidal function fitting is employed for deflection curve analysis, which, when combined with the optimized algorithm, allows direct determination of the maximum deviation direction, replacing the traditional multi-iteration adjustment process. The axial alignment experiments are conducted on the hydroturbine axis prototype, and the results show that the swing values obtained from the designed measuring instrument are consistent with the traditional eight-point method, achieving 99.8% consistency and improving alignment efficiency by 400%. The extremum identification accuracy reaches 0.001 mm, demonstrating that the proposed method establishes a novel and highly effective paradigm for intelligent hydroturbine shaft alignment.

基于极值快速优化的水轮机轴向无线测量仪。
针对水轮机轴手动对中精度不高、效率低的问题,设计了一种基于极值快速优化的水轮机轴向无线测量仪。该方法引入了三个主要创新点。首先,结合LoRa无线传输技术,在多个关键位置战略性部署光栅位移传感器和角编码器,构建无线传感测量系统。该配置可实现360°连续数据采集,有效消除传统八点离散测量方法需要定点定位和人工协调的限制。其次,提出了一种增强的模拟退火(SA)极值优化算法,该算法结合了自适应步长扰动模型、带重启机制的多阶段退火过程和灵活的温度衰减策略。这些改进解决了传统SA算法的共同缺点,例如固定步长导致局部最优捕获和缓慢收敛,从而能够精确和快速地识别轴偏转曲线中的极值点。第三,采用正弦函数拟合进行挠度曲线分析,与优化算法相结合,可以直接确定最大偏差方向,取代了传统的多次迭代调整过程。在水轮机轴样机上进行了轴向对准实验,结果表明,所设计的测量仪测得的摆幅值与传统八点法测得的摆幅值一致,一致性达99.8%,摆幅效率提高了400%。辨识精度极值达到0.001 mm,为水轮机智能轴对中建立了一种新颖高效的模式。
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来源期刊
Review of Scientific Instruments
Review of Scientific Instruments 工程技术-物理:应用
CiteScore
3.00
自引率
12.50%
发文量
758
审稿时长
2.6 months
期刊介绍: Review of Scientific Instruments, is committed to the publication of advances in scientific instruments, apparatuses, and techniques. RSI seeks to meet the needs of engineers and scientists in physics, chemistry, and the life sciences.
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