| 1. | And discuss the means to resolve the problem . experiments with samples of surface detects show that classification rate is up to 90 %
通过实验证明本文的缺陷分类方法可以有效地识别本文所研究的冷轧带钢表面缺陷类型,识别率达到90 %以上。 |
| 2. | Paints and varnishes . evaluation of degradation of paint coatings . designation of intensity , quantity and size of common types of defect . part 5 : designation od degree of flaking
涂料和清漆.涂料表层剥蚀评定.常见缺陷类型的尺寸数量和程度的名称.第5部分：剥落度名称 |
| 3. | Defect style and imaging character of carbon product that easy create in the course of produce are analyzed , based on that , nineteen features are extracted form flaw stylebook
分析了炭素制品生产中易产生的缺陷类型及缺陷的成像特征，在此基础上，从缺陷样本中提取了19个特征值。 |
| 4. | Paints and varnishes - evaluation of degradation of paints coatings - designation of intensity , quantity and size of common types of defects - part 6 : rating of degree of chalking by tape method
涂料和清漆.涂料涂层降解的评价.常见缺陷类型的程度量值和规模评价的标识.第6部分:用胶带法测定粉化等级 |
| 5. | At last , the model of defect size distribution and the model of soft and hard faults caused by defects is given . electromigration effect is still a dominating failure mechanism of interconnect for deep submicron and ultra - deep submicron scale
然后从实际芯片的缺陷类型中抽象出了丢失物缺陷、冗余物缺陷以及介质针孔缺陷的几何模型，给出了缺陷的粒径分布模型和由缺陷引起的软故障和硬故障的模型。 |
| 6. | Whether the data model in stl files is correct can effect the realization of the following process . the transformation and the process of the cad data model is introduced in this paper . the criteria to evaluate the validity of stl data model and the
本文对cad实体数据模型的转换与处理作了介绍，对stl数据模型的正确性及缺陷类型作了详尽的分析，并列举了几种典型的缺陷类型；提出了一种对stl数据模型进行自动诊断的方法。 |
| 7. | The test results show that different patterns of pd correspond to different demodulating signal waveforms , the pd phase angle in ac , and spectrum characteristics . therefore the pd patterns can be recognized by the uhf characters of different pd signals in gis
试验结果表明，不同缺陷类型的局部放电在其检波信号波形、局部放电工频相位分布和超高频频谱特征是有所不同的，可以依据这些特征对gis内的局部放电类型进行识别。 |
| 8. | Abstract : a method was put forward for the detection of the fatigue cracks at the thread roots of a drill pipe by using ultrasonic wave . the specific detection probes were designed . simulated cracks were detected . the results show that the probes can effectively detect the cracks whose depth is more than 1mm and the detection errors of the depth and length of the cracks are less than 1mm and 3mm respectively
文摘:钻杆螺纹根部疲劳裂纹是钻杆钻井服役中产生的常见缺陷类型，是钻杆螺纹发生断裂的重要根源.本文介绍了钻杆螺纹疲劳裂纹超声检测原理，设计了专用超声检测探头和检测装置，给出了检测试验结果，证明了钻杆螺纹疲劳裂纹超声检测的可行性和实用性 |
