笔者利用铁谱技术作为一种监测手段，通过磨粒分析来判断发动机的磨损状态。
This paper takes the ferrography technology as a monitoring means, we use wear particle analysis to judge the wear condition of engine.
为了研究它的磨损问题，本文先对船壳与土壤中硬磨粒两者间进行了力学状态分析。
For studying its wear properties; the author has analysed the mechanical conditions between the hull and hard abrasive in soil.
阐述了基本磨粒类型、磨损类型、特征、产生机理与设备运行状态之间的内在联系；
The inner relations between each basic kind of wear particles and wear type, wear particle characters, wear mechanism, machine running status are analyzed and expatiated.
本文算法为磨粒识别和机械磨损状态监测及故障诊断提供了可靠的前提。
The reliable foundation is provided in order to identify wear particles, monitor wear state of machine and diagnose wear faults of machine.
基于磨粒识别分析的结果，并结合摩擦学理论，实现对发动机磨损状态检测与故障诊断。
Depending on the result of debris analysis and combing with tribology knowledges, we can diagnose and predict wear fault of engine.
阐述了基本磨粒类型、特征、成分和产生机理与设备磨损状态之间的内在联系。
The inner relations between each basic kind of wear particle and wear type, wear particle characters, wear mechanism, machine running status are analyzed and expatiated.
为提高基于磨粒的机器状态监测的准确性，研究了磨粒特征随滑动磨损进程的变化规律。
The evolutions of wear debris characteristics as wear progress in sliding wear process was studied.
为了便于分析研究设备的磨损状态等相关性规律，研制了基于计算机的磨粒图像轮廓识别和轮廓分形参数分析软件。
This paper presents the fractal parameter and its calculation method of the worn particles based on particles contours chain code.
为了便于分析研究设备的磨损状态等相关性规律，研制了基于计算机的磨粒图像轮廓识别和轮廓分形参数分析软件。
This paper presents the fractal parameter and its calculation method of the worn particles based on particles contours chain code.
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