基于声发射信号模糊函数综合相关系数的海洋平台各类损伤识别方法

Damage Identification Method of Offshore Platforms by Ambiguity Function Integrated Correlation Coefficient of the Acoustic Emission Signals

海洋平台工作环境恶劣且背景噪声多样,传统的无损检测方法对海洋平台结构监测效果并不理想。针对海洋平台损伤识别现状,提出一种基于声发射信号模糊函数综合相关系数的海洋平台损伤识别方法。通过试验测取海洋平台服役过程中可能会出现的裂纹、腐蚀、撞击和摩擦四类故障或海况所产生的声发射信号,建立起声发射源信号模糊函数图像模板,构造出基于模糊函数图像的归一化相关系数表达式。将测试样本与模糊函数图像模板进行相关分析,准确有效地识别出各类损伤,验证了该方法的有效性,为建立基于声发射源信号模糊函数图像模板库的相关系数自动识别系统提供可靠的理论依据和方法。同时,该方法还有效地抑制模糊域内交叉项对自项的干扰,可有效地提高海洋平台实时监测与大数据分析的处理效率。

As the critical working environment and the diversity of the background noises, traditional non-destructive testing（NDT）methods don＇t work well for the monitoring of offshore platforms. A damage identification method for offshore platforms with an ambiguity function integrated correlation coefficient of the acoustic emission（AE） signals is proposed. Some tests are taken to get the AE signals that are produced by the cracks, corrosion, impact and friction what may happen on offshore platforms frequently, then the templates of the ambiguity function images are built, and an expression to calculate the correlation coefficient of these images is created. Analyzing the testing samples with the templates, the faults are identified correctly, and the validity of this method is proved.Providing the reliable theoretical basis and method to build the identification system based on the correlation coefficient of the ambiguity function images template library of AE signals. Meanwhile, the cross-component is restrained effectively in ambiguity function domain, and improving the treatment efficiency of offshore platforms for real-time monitoring and big data analysis.