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故障劣化
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  “故障劣化”译为未确定词的双语例句
     Noise reduction processing was done for the original signal using envelope demodulation method in 0~1? 000,2? 000~3?
     利用包络解调法对轴承原始信号进行了0~1 000,2 000~3 000及3 000~4 500 Hz分频段降噪处理,研究了不同时段轴承故障劣化程度与Lyapunov指数的关系以及信号噪声对Lyapunov指数的影响。
短句来源
     The Examining of the Tendency of the Fault based on the Wavelet and the Neural Networs
     基于小波—神经网络的故障劣化趋势检测
短句来源
     DSSR is a common phenomenon in every section of a modern high-speed paper machine (usually consisting of six sections) which has not been well known and is different from the fault.
     高速造纸机在设计运行车速范围内,各部套存在动态系统结构动力共振是一种普遍现象,其区别于部件故障劣化状态;
短句来源
     It introd ucs the basic theorise of the wavelet and the neural networks,moreover,this arti cle recommends the structure method of the detection system of the fault develop ment trend. Authors take bearing of the motor as example that is used in the temp erature calibration. The result of the diagnos:s is in agree with the facts,so th is is proved the method is suitable for the test of the tendency deterioration.
     本文以小波-神经网络为研究对象,主要介绍小波—神经网络的基本原理,及基于小波—神经网络的故障劣化趋势检测系统的构造方法,并以用于温度标定的电机的轴承为例进行诊断试验,试验诊断结果与实际情况基本一致,说明该方法适用于故障劣化趋势检测。
短句来源
  相似匹配句对
     The Examining of the Tendency of the Fault based on the Wavelet and the Neural Networs
     基于小波—神经网络的故障劣化趋势检测
短句来源
     the malfunction diagnosis of cutting processing;
     故障诊断 ;
短句来源
     Analysis on Deterioration Factor of Car Catalytic Converter and Its Trouble Diagnosis
     汽车催化转化器劣化因素分析及故障诊断
短句来源
     On Failure Waveform Recorder
     故障录波器浅析
短句来源
     The Wastage of Thermocouple and Prevent Countermeasures
     热电偶的劣化及对策
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The method to study rolling bearing`s fault deterioration grade is presented bas

通过共振解调法对故障敏感频段进行分频段解调 ,不但提高了信号的信噪比 ,而且根据包络谱可以确定轴承具体故障形式 ;利用关联维数定量刻划分频段内轴承故障的非线性行为。试验结果表明 ,随着故障劣化程度加深 ,关联维数在轴承故障敏感频段内均呈增大趋势 ,可以把关联维数作为判断轴承故障劣化程度的特征量。该方法不仅可以诊断轴承具体故障 ,还能够有效监测故障劣化情况。

This paper mainly referred to the finding of the existence of Dynamic Systematic Structure Resonance (DSSR) of Press Section of a Modern Paper Machine (PSMPM) during the studying of PSMPM's dynamic characteristics. The result indicated that the DSSR running speed of this PSMPM was 1049~1197 m/min(7.0~8.0Hz). DSSR is a common phenomenon in every section of a modern high-speed paper machine (usually consisting of six sections) which has not been well known and is different from the fault. It can keep a paper machine...

This paper mainly referred to the finding of the existence of Dynamic Systematic Structure Resonance (DSSR) of Press Section of a Modern Paper Machine (PSMPM) during the studying of PSMPM's dynamic characteristics. The result indicated that the DSSR running speed of this PSMPM was 1049~1197 m/min(7.0~8.0Hz). DSSR is a common phenomenon in every section of a modern high-speed paper machine (usually consisting of six sections) which has not been well known and is different from the fault. It can keep a paper machine running safely, durably and economically when machines' DSSR number and the way to bypass the DSSR running speed are understood during the running operation. The sections in different paper machines have different DSSR running speeds, which can be determined by the comprehensive study of vibration numbers under different running conditions and during increasing-speed running. It is equally important for both studying and tracking the fault conditions to understand their changing states of the components in paper machines and finding the sections' DSSR working conditions.

研究了1台现代化高速纸机压榨部的动态运行过程和尚未被人们意识到的结构动力共振现象,同时探讨了其研究方法、结构动力共振车速。研究表明本机(设计车速1700m/min,操作车速1500m/min)压榨部结构动力共振车速为1047~1197m/min(7.0~8.0Hz);高速造纸机在设计运行车速范围内,各部套存在动态系统结构动力共振是一种普遍现象,其区别于部件故障劣化状态;高速纸机结构动力共振产生的原因为转件基本共振和支承共振的结合;不同纸机各部套动态结构动力共振车速有差别,可通过不同车速范围运行过程与提速过程中的跟踪比较综合确定。研究其数值,可以确保关键部件安全、耐久、经济运行;掌握零部件故障状态及其变化与部套结构动力共振工况点是现代高速造纸机状态监测与故障诊断的两个同等重要方面。

The largest Lyapunov exponent was proposed in order to describe quantitatively the non-linear behavior of rolling bearings,and to study the criterion of fault impairment grade.Noise reduction processing was done for the original signal using envelope demodulation method in 0~1?000,2?000~3?000 and 3?000~4?500 Hz frequency bands respectively,the relationship between Lyapunov exponent and bearing's fault impairment grade was analyzed,and the effect of signal noise on Lyapunov exponent was expounded.The experimental...

The largest Lyapunov exponent was proposed in order to describe quantitatively the non-linear behavior of rolling bearings,and to study the criterion of fault impairment grade.Noise reduction processing was done for the original signal using envelope demodulation method in 0~1?000,2?000~3?000 and 3?000~4?500 Hz frequency bands respectively,the relationship between Lyapunov exponent and bearing's fault impairment grade was analyzed,and the effect of signal noise on Lyapunov exponent was expounded.The experimental results show that in 0~1?000 Hz frequency band,Lyapunov exponent is 0.612 under the state of incipient fault of the bearing.After running five months,the Lyapunov exponent is up to 0.810?5.Moreover,in 2?000~3?000 Hz and 3?000~4?500 Hz frequency bands,Lyapunov exponent increases gradually.So the largest Lyapunov exponent can be used as the characteristics for recognizing rolling bearing's fault impairment grade.

针对滚动轴承故障后期的非线性行为以及判断故障的劣化趋势标准问题,提出了最大李雅普诺夫(Lyapunov)指数判别方法。利用包络解调法对轴承原始信号进行了0~1 000,2 000~3 000及3 000~4 500 Hz分频段降噪处理,研究了不同时段轴承故障劣化程度与Lyapunov指数的关系以及信号噪声对Lyapunov指数的影响。结果表明,在0~1 000Hz频段内,轴承早期故障的Lyapunov指数为0.612,运行5个月后,Lyapunov指数增大到0.810 5,2 000~3 000 Hz及3 000~4 500 Hz频段内,Lyapunov指数也呈缓慢增大趋势,说明Lyapunov指数能够反映轴承故障劣化程度,因此可以把Lyapunov指数作为判断轴承故障严重程度的特征参量,这为轴承故障的劣化判断提供了一条有效途径。

 
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