NDE Lab, Faculty of Mechanical Engineering, KN Toosi University of Technology, 17 Pardis St., Mollasadra Ave., Tehran, Iran.
Ultrasonics. 2013 Sep;53(7):1251-8. doi: 10.1016/j.ultras.2013.03.007. Epub 2013 Mar 28.
Monitoring pipe wall erosion/corrosion thinning rates is an important issue in petrochemical and power generation industries. In this paper, two signal processing techniques are utilized for estimating the thinning rate based on ultrasonic pipe wall thickness data collected over a short period of time. The first is a combination of cross-correlation and polynomial curve fitting and the second is a model-based estimation (MBE) scheme. These techniques are applied to data collected from an accelerated thinning rate apparatus and both show that they are capable of estimating the thinning rates quickly in short time periods with good accuracy. In laboratory applications, thinning rates as low as 10 μm/year were measured within 15 days with an uncertainty of ±1.5 μm/year by both techniques. Although the MBE technique can yield marginally better accuracy, the greater stability and computational speed of the cross-correlation technique make it the preferred choice for industrial use.
监测管道壁的侵蚀/腐蚀减薄速率是石化和发电行业的一个重要问题。在本文中，利用两种信号处理技术根据在短时间内采集的超声波管壁厚度数据来估计减薄速率。第一种是互相关和多项式曲线拟合的组合，第二种是基于模型的估计（MBE）方案。这些技术应用于从加速减薄速率装置收集的数据，两者都表明它们能够在短时间内快速准确地估计减薄速率。在实验室应用中，两种技术都能够在 15 天内测量到低至 10 μm/年的减薄速率，不确定度为±1.5 μm/年。虽然 MBE 技术可以提供略高的精度，但互相关技术的更高稳定性和计算速度使其成为工业应用的首选。
