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兵工学报 ›› 2011, Vol. 32 ›› Issue (11): 1373-1377.

• 论文 • 上一篇    下一篇

数字同轴全息油液磨粒形貌检测技术的研究

王玉荣1, 徐元强2, 贾学东2, 林关海2, 刘涛2, 杜延龙1, 孟祥锋1   

  1. (1.山东大学 信息科学与工程学院, 山东 济南 250100;2.72690部队, 山东 泰安 271000)
  • 收稿日期:2010-04-24 修回日期:2010-04-24 上线日期:2014-05-04
  • 通讯作者: 王玉荣 E-mail:yrw@sdu.edu.cn
  • 作者简介:王玉荣(1965—), 男, 教授
  • 基金资助:
    国家自然科学基金资助项目(60907005,60777008)

Study on Wear Particle Morphology Detection Based on Digital In-line Holography

WANG Yu-rong1, XU Yuan-qiang2, JIA Xue-dong2, LIN Guan-hai2, LIU Tao2,   

  1. (1.School of Information Science and Engineering,Shandong University, Jinan 250100, Shandong, China;2.Unit 72690 of PLA, Tai’an 271000,Shandong, China)
  • Received:2010-04-24 Revised:2010-04-24 Online:2014-05-04
  • Contact: WANG Yu-rong E-mail:yrw@sdu.edu.cn

摘要: 提出一种基于数字同轴全息三维成像理论的油液磨损颗粒检测新技术,该技术同时具有颗粒计数、颗粒成像及形态、形貌识别分类等功能,可为基于油液分析的机械设备状态监测和磨损故障诊断提供新的检测手段。对数字同轴全息用于油液磨损颗粒检测的原理、特点及系统软硬件组成等进行了详细介绍,并进行了实验验证,实验结果证明了该技术的可行性。

关键词: 工程物理学, 油液监测, 数字同轴全息, 油液磨粒形貌检测, 磨损故障诊断

Abstract: A new technique for oil wear particle monitoring using digital in-line holographic 3D imaging was proposed. As an advanced way for oil monitoring and failure diagnosis of equipments, the developed system can count, imaging, indentify and classify the particles. Its principle, characters, hardware and software were presented. The experiment results show its feasibility.

Key words: engineering physics, oil monitoring, digital in-line holography, wear particle morphological analysis, mechanical failure diagnosis and prediction

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