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

工业材料的超声无损检测是监测工厂完整性的一种重要且经济有效的方法。在严格立法的核工业中，NDE要求尤其严格。随着大量老化的船队和新建的道路，越来越难培训所需数量的适当合格人员来进行超声波检查。此外，该流程通常要求执行重复的、因此枯燥的任务，从而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。在TSB的资助下，Sound数学有限公司在超声波检测的数学建模方面拥有20年的经验，最近开发了一种代码，能够自动实时生成几种可能的检测报告版本，从而解决了这个问题。该程序可用于大型平面裂纹的检测、定位、定形和方向识别。我们现在希望研究是否可以创建类似的代码来描述英国标准：超声波检查中描述的其他主要类型的裂缝。

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.