传感技术学报2017，Vol.30Issue(12)：1900-1905,6.DOI:10.3969/j.issn.1004-1699.2017.12.020
一种多传感器云融合技术的亚面表缺陷深度检测算法研究
Research on Multi-Sensors Recognition Algorithm Based on Cloud Fusion Technology for Subsurface Defect Depth
摘要
Abstract
In consideration of the difficulty of directly using the multi-sensor detecting features information for the defect identification. The paper proposes an improved multi-sensors recognition algorithm based on cloud-fusion technology for subsurface defect depth evaluation. At first,two common nondestructive testing technologies such as ultrasonic testing( UT) ,eddy current testing( ECT) are introduced;at second the cloud model to calculate the proba-bility distribution of single detecting method is carried out;then a fusion algorithm based on D-S and PCR theory is improved and used to fuse the probability from transformation the membership of multi-sensors,at last Gaussian fit-ting method is taken to evaluate the subsurface defects depth. The experimental result shows that the improved algo-rithm is superior to the existing algorithm;it can achieve better synthesis results and improve the correct target rec-ognition rate.关键词
亚表面缺陷/无损检测/云滴模型/D-S证据/PCR融合Key words
subsurface defects/nondestructive testing/cloud model/D-S fusion/PCR fusion分类
信息技术与安全科学引用本文复制引用
刘半藤,陈友荣,杨海波,王章权..一种多传感器云融合技术的亚面表缺陷深度检测算法研究[J].传感技术学报,2017,30(12):1900-1905,6.基金项目
浙江省公益性技术应用研究项目(2016C33038) （2016C33038）
浙江省科技厅重大科技专项项目(2015C01033) （2015C01033）
浙江树人大学中青年学术团队项目 （）
浙江省基础公益研究项目(LGF18F010005) （LGF18F010005）
