ferrograph meaning in Chinese
磁滞曲线测定仪
磁滞仪
铁磁示波器
铁粉记录图
Examples
- The application of ferrograph analysis technology in shendong colliery
铁谱分析技术在神东矿区的应用 - And then the applications of some general oil monitoring methods including physical chemistry analysis , ferrograph analysis , contamination degree analysis , etc , in fault diagnosis of diesel engine are analyzed , and also the relations between those methods and diesel engine ' s fault modules are discussed
然后分析了几种常用的油液分析方法在柴油机故障诊断中的应用，包括理化分析、铁谱分析、污染度分析等，及各分析方法与各故障模式的关系。 - However , the issue how to realize the automatization in ferrograph diagnosis has been brought forth owning to manipulative complexity and subjectivity in the judgement for traditional ferrography technology . thus , the automatic recognition technology for wear debris is a focus research topic and many researchers , whether in overseas or domestic , have paid more attention on studying it last decades
但是，传统铁谱技术操作的复杂性和判断主观性又提出必须尽快解决铁谱诊断智能化的问题，所以磨损磨粒的自动识别技术是近几十年来国内外学者十分关注并致力加以研究的前沿课题。 - The characteristic parameters of effective debris in a ferrograph have been calculated in the present thesis , like area , perimeter , aspect ratio and granularity , in which some methods have been adopted such as smoothing , filtering and thresholding and so on , according to tribological theories and computer technologies and digital image preprocessing
本论文基于摩擦学原理和计算机技术，通过对铁谱片进行数字化图像预处理，采用对谱片图像的平滑、滤波以及阈值二值分割等方法，计算出谱片中特征磨粒的一些特征参量，如面积、周长、粒度以及纵横比等。 - As a matter of fact , three types of wear debris can be classified by the present software programmed in this research , that is , normal , spherical and cutting debris can be identified . by analyzing and processing the actual ferrograph of wear debris from a used oil sample , the experimental results show that the effects of automatic recognition are equal to those of manual recognition , and the automatization of ferrographical diagnosis has been realized simply and partly , which will be helpful to improve the intelligence of the digital ferrography system
通过对实际油样中制取的图谱进行分析与处理，结果表明，本系统可以实现对三种常见的磨粒进行识别，即对正常磨粒、球状磨粒以及切削磨粒进行分类，验证了该软件的自动识别效果与人工识别相当，具有一定程度的智能效果，为铁谱仪数字化系统打下了一定的基础。