英文翻译高手帮忙翻译一段摘要,麻烦了~~~

随着现代科学技术的进步和生产系统的不断发展,电机在生产中发挥着越来越重要的作用。电机故障不仅会损坏电机本身,而且会影响整个系统的正常工作,甚至危及人身安全,造成巨大的经济损失。通过对常见故障的诊断和分析,可以及早发现故障和预防故障的进一步恶化,减少突发事故造成的停产损失,并为实现状态检修创造条件。
针对异步电机的工作原理,系统阐述了异步电机故障诊断系统的研究现状和发展方向,并对基于振动信号的电机故障诊断研究进行了初步分析,分析了电机常见的异常振动的主要类型。
本文主要研究了小波变换理论和小波包分析理论,从原理上分析了小波基的选择。本文利用小波包变换对异步电机进行故障诊断。本文采用基于小波包的振动诊断法对电机滚动轴承故障进行诊断。对于存在已知轴承故障的电机,在故障状态下采集到振动信号,利用峭度值计算和小波包分析相结合的方法,选用db3和db10作为小波基,进行小波包分析,对包含有故障特征频率信息的信号进行重构,获得轴承故障特征频率,根据故障特征频率的数值和能量,确定出轴承故障的类型。

*****(PS:是中译英)****

第1个回答  2011-06-16
Along with the modern science technology's progress and production system's unceasing development, the electrical machinery is playing more and more vital role in the production. The motor failure will not only damage the electrical machinery itself, will interfere with overall system's normal work, will endanger the personal safety, will create the huge economic loss. Through to the common breakdown's diagnosis and the analysis, may discover early the breakdown and the prevention breakdown's further worsening, reduces arises suddenly the production suspension loss which the accident creates, and to realize the condition overhaul to create the condition. In view of asynchronous machine's principle of work, the system elaborated the asynchronous machine failure diagnosis system's research present situation and the development direction, and to have carried on the preliminary analysis based on the vibration signal's motor failure diagnosis research, has analyzed the electrical machinery common unusual vibration predominant type. This article has mainly studied the wavelet transform theory and the small wave packet analysis theory, by theory has analyzed the wavelet base's choice. This article uses the small wave packet transform pair asynchronous machine to carry on the failure diagnosis. This article uses based on the small wave packet vibration diagnostic method carries on the diagnosis to the electrical machinery rolling bearing breakdown. Regarding the existence known bearing breakdown's electrical machinery, gathers the vibration signal under the malfunction, unifies the method using the kurtosis value computation and the small wave packet analysis, selects db3 and db10 takes the wavelet base, carries on the small wave packet analysis, to contains has the breakdown eigen frequency information signal to carry on restructuring, obtains the bearing breakdown eigen frequency, according to the breakdown eigen frequency's value and the energy, determines the bearing breakdown the type.
第2个回答  2011-06-16
With modern science and technology progress and the development of production system, motor in production is playing a more and more important role. Motor fault will not only damage the motor, and will affect the whole itself the normal work of the system, even endanger personal safety, cause huge economic losses. Through to the common fault diagnosis and analysis, early detection and prevention of fault fault further deterioration, reduce accident caused by the loss of production, and to create the conditions for the realization of the state overhaul.

According to the work principle of asynchronous motor, this paper expounds asynchronous motor fault diagnosis system the research present situation and the direction of development, and the vibration signal of motor based on fault diagnosis research paper analyzes the motor common main types of abnormal vibration.

This paper mainly studied wavelet transformation theory and wavelet packet analysis theory, from the analysis on the principle of wavelet choice. This paper, by using wavelet packet transform fault diagnosis of asynchronous motor. This paper based on wavelet packet vibration diagnosis of rolling bearing fault diagnosis. Known for existence of motor bearing fault in fault state collected to the vibration signal, the use of kurtosis value are calculated and wavelet packet analysis method of combining the db3 and db10, choose as a wavelet and wavelet packet analysis, to include fault feature frequency information signal reconstruction, get bearing fault characteristic frequency, according to the fault feature of the frequency of numerical and energy, confirmed the bearing fault type.本回答被提问者采纳
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