1) detection of tube corrosion
管道腐蚀探测
2) pipeline corrosion detection
管道腐蚀检测
1.
The system of pipeline corrosion detection was beneficial for engineer to monitor the corrosion status of buried pipeline and save the maintenance cost.
管道腐蚀检测系统有利于工程师监测埋地管道腐蚀情况,节省管道维护开销。
3) pipeline corrosion
管道腐蚀
1.
Multi-channels ultrasonic is dealt with,which is a key technology of in-line inspection of pipeline corrosion.
多通道超声自动检测是管道腐蚀内检测的关键技术。
2.
Using the broad-band ultrasonic inspection technology to develop the research on ultrasonic Pig with rotary probes and transducer array,the data processing for B-/C-scan imaging and 3D imaging of pipeline corrosion flaw was realized.
利用宽频超声检测技术开展了旋转探头和阵列探头管道超声内检测器(BUS-Pig)研究,实现了数据处理,管道腐蚀缺陷超声检测B、C扫描图像化和缺陷的三维图像化。
3.
Based on the corrosion inspection research and comprehensive technical and economic analysis, Corrosion and Protection Research Institute of Shengli Oilfield provides a scenario for fast inspecting and determining pipeline corrosion state without trenching, It includes technique, instruments, inspection procedure for measuring main parameters and error control.
胜利油田腐蚀与防护研究所在深入进行腐蚀检测技术研究与综合技术经济分析的基础上,提出了一条在不开挖管道的情况下快速检测和判断管道腐蚀状况的基本思路。
4) corroded pipeline
腐蚀管道
1.
Finete element analysis of critical residual wall thickness of corroded pipeline;
腐蚀管道临界剩余壁厚的有限元分析
2.
Assessment method for remaining strength of corroded pipeline and its application;
腐蚀管道剩余强度评价方法及其应用
3.
Reliability and residual strength analysis of corroded pipeline;
腐蚀管道的剩余强度与可靠性分析
5) corrosion pipeline
腐蚀管道
1.
BP neural network are combined with genetic algorithm (GA) named by modified BP-GA methods to successfully predict residual strength and critical pressure of injecting corrosion pipelines.
本文将BP神经网络和遗传算法相结合,得到一种新的神经网络,并将这种神经网络成功用于计算腐蚀管道的剩余强度和最大允许注水压力。
2.
BP neural network is combined with Genetic Algorithm (GA) named by modified BPGA methods to successfully predict residual strength and critical pressure of injecting corrosion pipelines.
将BP神经网络和遗传算法相结合 ,得到了一种可计算腐蚀管道剩余强度和最大允许注水压力的新神经网络。
3.
BP neural network were combined with genetic algorithm(GA) named by modified BP-GA methods to successfully predict residual strength and critical pressure of injecting corrosion pipelines.
将BP神经网络和遗传算法相结合 ,得到一种新的神经网络 ,并将这种神经网络成功用于计算腐蚀管道的剩余强度和最大允许输送压力。
6) Delmar
腐蚀探测仪
补充资料:管道SCADA(见管道数据采集与监控系统)
管道SCADA(见管道数据采集与监控系统)
popeline supervisory control and data acquisition system
管道SCADA(PIPelinesuPervisory eontroland data aequisition system)与监控系统。见管道数据采集
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
参考词条