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.

作为一家大型电力生产商，需求不断增加，加拿大电力行业努力提高发电站的安全性，生产力和可靠性至关重要。特别是，核电站的安全和连续操作在很大程度上取决于对某些表面的适当维护和检查。非破坏性测试（NDT）是一种分析，用于检测成品对成品的疲劳效果和结构缺陷，同时确保在测试过程中不会受到损坏或破坏。该项目涉及新型传感器阵列处理和多输入多输出（MIMO）成像技术在核电厂中超声波NDT的应用。传感器阵列处理是信号处理的一个分支，其中收集并处理了传感器阵列的输出，以获取周围环境的图像。 MIMO信号处理已被广泛研究，并被充分理解为增加无线连接区域中的可靠性和数据吞吐量的一种手段。在这个项目中，我们开发了新型的统计和阵列信号处理技术，使能够检测到供核电站锅炉的管道内的各种异常。 为此，我们提出了数据模型，以捕获折射指标变化的影响，校准误差，信号特性，噪声特性和传感器间耦合。我们在非破坏性测试程序方面的研究旨在达到两个行业目标：i）通过制定更快的测试方法和处理算法来减少在测试程序期间造成的财务损失，ii）降低了在接受过的专业安全检查人员培训期间所产生的成本由于规定可接受的辐射剂量的法规，人类可以安全维持的高度转变率。主要的经济利益将是同时检测多种缺陷类型，例如裂缝，变薄和孔隙率。这将减少在停电期间未来的检查活动时间，从而带来净经济优势。