Composite model-based signal and image processing algorithms for semi-automated crack characterisation

工业材料的超声波无损检测（NDE）是一种重要且经济有效的设备完整性监测方法。在严格立法的核工业中，NDE要求特别严格。随着大量老化的设备和新建设备的出现，培训所需数量的合格人员进行超声波检测变得越来越困难。此外，该过程通常需要执行重复的，因此无聊的任务，增加了人为错误的机会。现在很多数据收集都是自动化的，但数据解释却不是。由TSB，Sound Mathematics Ltd.，凭借其在超声波检测数学建模方面20年的经验，最近开发了一种代码，该代码能够自动并在真实的时间内生成几种可能的检测报告版本，从而解决了这一问题。该代码可用于检测、定位、确定尺寸和识别大型平面裂纹的方向。我们现在希望研究是否可以创建类似的代码来表征英国标准中描述的其他主要类型的裂纹：超声波检测。

Ultrasonic NDE (Non-Destructive Evaluation) of industrial materials is an important and cost-effective way of monitoring plant integrity. The NDE requirements are particularly stringent in heavily legislated nuclear industry. With a large aging fleet and new built on the way it is becoming harder and harder to train a required number of suitably qualified personnel to conduct ultrasonic inspections. Also, the process often calls for performance of repetitive and therefore boring tasks, increasing chance of human error. A lot of data collection is now automated but not data interpretation. Funded by TSB, Sound Mathematics Ltd., with 20 years of experience behind them in mathematical modelling of ultrasonic inspections, has recently developed a code, which is capable of generating automatically and in real time several possible versions of inspection reports, and thus addresses this issue. The code could be used for detecting, locating, sizing and identifying orientation of a large planar crack. We now wish to investigate whether similar codes can be created for characterising other major types of cracks described in the British Standards: Ultrasonic Examination.