AI 中文总结
该研究提出一种基于声音分析的方法，结合多速率数字信号处理与时频分析，可在非平稳条件下准确估计感应电动机转速，为其监测提供可靠无创的低成本方案。
AI 中文摘要
本文提出了一种新颖的方法，用于估计非平稳条件下运行的感应电动机的转速，该方法采用低成本麦克风采集的声信号。所提方法将多速率数字信号处理与先进时频分析相结合，从电机声发射中提取与转速相关的谐波分量，同时有效抑制电干扰和电磁噪声。在稳态和瞬态运行条件下开展数值模拟与实验验证，考虑多种转速曲线，包括缓慢斜坡和转速突变。实验结果表明，所提方法能够准确跟踪由负载扰动和机械不规则性引起的快速动态转速变化，估计的瞬时转速与传统转速传感器获得的参考测量值高度一致。结果证实，所提基于声音的技术为感应电动机的转速监测提供了可靠、无创且具成本效益的解决方案。
英文摘要
This paper presents a novel methodology for the estimation of the rotational speed of induction motors operating under non stationary conditions, using acoustic signals acquired by a low cost microphone. The proposed approach integrates multi rate digital signal processing with advanced time frequency analysis to extract speed dependent harmonic components from motor acoustic emissions, while effectively suppressing electrical interference and electromagnetic noise. Numerical simulations and experimental validations are conducted under both steady state and transient operating conditions, considering a wide variety of speed profiles, including slow ramps and abrupt speed variations. The experimental results demonstrate that the proposed method is capable of accurately tracking rapid and dynamic speed changes caused by load disturbances and mechanical irregularities. The estimated instantaneous speed exhibits a high degree of agreement with reference measurements obtained from a conventional speed sensor. The results confirm that the proposed acoustic based technique provides a reliable, noninvasive, and cost effective solution suitable for speed monitoring of induction motors.
