英语翻译A comparative experimental study on the diagnostic and p

英语翻译
A comparative experimental study on the diagnostic and prognostic capabilities of acoustics emission,vibration and spectrometric oil analysis for spur gears
Abstract
Prognosis of gear life using the acoustic emission (AE) technique is relatively new in condition monitoring of rotating machinery.This paper describes an experimental investigation on spur gears in which natural pitting was allowed to occur.Throughout the test period,AE,vibration and spectrometric oil samples were monitored continuously in order to correlate and compare these techniques to natural life degradation of the gears.It was observed that based on the analysis of root mean square (rms) levels only the AE technique was more sensitive in detecting and monitoring pitting than either the
vibration or spectrometric oil analysis (SOA) techniques.It is concluded that as AE exhibited a direct relationship with pitting progression,it offers the opportunity for prognosis.
r 2005 Elsevier Ltd.All rights reserved.
1.Introduction
Acoustic emission (AE) was originally developed for non-destructive testing (NDT) of static structures [1],however,over recent years its application has been extended to health monitoring of rotating machines and bearings [2–7].It offers the advantage of earlier defect detection for gearboxes in comparison to vibration
analysis [8–10].However,on seeded faults in gearboxes,this is not without difficulties [11].The use of vibration analysis for gear fault diagnosis and monitoring has been widely investigated and its
application in industry is well established [12–14].This is particularly reflected in the aviation industry where the helicopter engine,drive trains and rotor systems are fitted with vibration sensors for component health monitoring.Similarly,spectrometric oil analysis (SOA) has been routinely used for elemental analysis of wear
particles,contaminants and additives in lubricants for more than 50 years [15].Analysis of wear particles can assist in determining the source of wear and the condition of the machine.In the aviation industry,thistechnique has been successfully employed for condition monitoring of rotating components prior the introduction of vibration monitoring technique.Today,it still serves as a complementary diagnostic tool for most aircraft/helicopter platforms.The basic idea of spectrometry is to identify and quantify wear particles from an oil sample.Typical spectrometers are capable of detecting wear particles between 5 and 10 mm.In this paper,the authors present results from an experimental programme that observed the relationship between AE,vibration and SOA with natural progressive pitting in a pair of spur gears.

(专业词汇真多,我文科滴,翻起来很多都似懂非懂,不过也八九不十吧)
正齿轮检测中声发射技术、震动分析技术和光谱分析技术的比较试验研究
在旋转器械的工况监控中运用声发射技术预测齿轮的寿命相对少见.本文描述了对发生进展性点蚀的正齿轮的实验性研究.在整个测试期间,为了将这些技术（包括声发射技术、震动以及油的光谱样本）与齿轮正常寿命的递降建立联系并进行比较,我们持续地对这些技术进行了持续性的监控.据观察可知,在检查和监控蚀损斑方面,基于均方根数量分析的声发射技术比震动和油的光谱分析技术更为敏感.结论是,声发射技术为我们展示了其与蚀损斑演变的相关性,而这种技术也为今后的检测方式提供了另外一种选择.
r 2005 Elsevier Ltd.All rights reserved.
1.引言
声发射技术最初仅应用于静态结构的非破坏性实验,然而,近年来这项技术已被运用于旋转电机和轴承的健康检测.与振动分析相比,在早期的齿轮箱瑕疵检测方面,声发射技术有着明显的优势.但是,在检测齿轮箱中已播种的瑕疵时,声发射技术仍有不足之处.运用振动分析技术对齿轮进行故障诊断和监控已经被广泛地深入研究并在实际的工业运用中已经卓有建树.特别是在航空工业领域,直升机引擎、传动系统和旋转系统均安装了震动传感器以检测元件的健康程度.类似地,50年来润滑油的光谱分析也常常被用来对磨损颗粒、污染物和润滑油添加剂的元素分析.磨损颗粒的分析能够帮助检测磨损的原因和机器的情况.在航空工业领域,这项技术比震动监控技术更早的被成功地用于旋转器械的状况监控.至今,光谱分析仍然是大多数飞机、直升机平台检测工具的重要补充.光谱分析的基本思路是识别并对润滑油中的磨损颗粒进行定量.正常的分光仪能够检测到5到10mm的颗粒.在本论文中,笔者通过一项实验项目的一对正齿轮的进展性点蚀分析,展示了声发射技术、震动分析和光谱分析这三种技术的关系.