Advancement of sensor array processing and MIMO signal processing for non-destructive testing

用于无损检测的传感器阵列处理和 MIMO 信号处理的进步

• 批准号: 401677-2010
• 负责人: Shahbazpanahi, Shahram
• 金额: $ 4.23万
• 依托单位: University of Ontario Institute of Technology
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=529330
• 关键词: Advancement; sensor; array; processing; MIMO

As a major electricity producer with an ever-increasing demand, it is vital that the Canadian power industry strive to improve the safety, productivity and reliability of its generating stations. In particular, nuclear power plants' safe and continuous operation critically depends on the proper maintenance and inspection of certain surfaces. Non-destructive testing (NDT) is a type of analysis performed to detect fatigue effects and structural imperfections on a finished product while ensuring that it is not damaged or destroyed during testing. This project is concerned with the application of novel sensor array processing and multi-input multi-output (MIMO) imaging techniques to ultrasonic NDT in nuclear power plants. Sensor array processing is a branch of signal processing where the outputs of an array of sensors are collected and processed in order to obtain the image of the surrounding environment. MIMO signal processing has been widely investigated and is well understood as a means to increase reliability and data throughput in the area of wireless connectivity. In this project, we develop novel statistical and array signal processing techniques that enable the detection of various types of abnormalities within the pipes that feed the boiler of a nuclear power plant. To do so, we propose data models which capture the effects of variations in the refraction indices, the calibration errors, signal characteristics, noise properties, and inter-sensor coupling. Our research in non-destructive testing procedures is directed at meeting two industry targets: i) decreasing financial losses incurred during testing procedures by developing faster testing methods and processing algorithms, and ii) reducing costs incurred during the training of specialized safety inspection personnel who have a high-turnover rate due to regulations stipulating the acceptable radiation doses humans can safely sustain. The major economic benefit will be the simultaneous detection of multiple flaw types such as cracks, thinning, and porosity. This will reduce future inspection campaign times during outages, thereby leading to a net economical advantage.

作为一个需求不断增长的主要电力生产国，加拿大电力行业努力提高其发电站的安全性、生产率和可靠性至关重要。特别是，核电站的安全和连续运行关键取决于对某些表面的适当维护和检查。无损检测（NDT）是一种分析，用于检测成品的疲劳效应和结构缺陷，同时确保其在测试过程中不会损坏或破坏。该项目涉及新型传感器阵列处理和多输入多输出（MIMO）成像技术在核电站超声无损检测中的应用。传感器阵列处理是信号处理的一个分支，其中收集和处理传感器阵列的输出，以便获得周围环境的图像。MIMO信号处理已经被广泛研究，并且被很好地理解为在无线连接领域中增加可靠性和数据吞吐量的手段。在这个项目中，我们开发了新的统计和阵列信号处理技术，使各种类型的异常检测管道内，饲料的核电站锅炉。 要做到这一点，我们提出的数据模型，捕获的折射率，校准误差，信号特性，噪声特性，和传感器间耦合的变化的影响。我们在无损检测程序方面的研究旨在满足两个行业目标：i）通过开发更快的检测方法和处理算法来减少检测程序期间产生的财务损失，以及ii）减少培训专业安全检查人员期间产生的成本，这些人员由于规定了人类可以安全承受的可接受辐射剂量而具有高流动率。主要的经济效益将是同时检测多种缺陷类型，如裂缝，变薄和孔隙。这将减少未来停机期间的检查活动时间，从而带来净经济优势。