振动信号的预处理，对于水力发电机组振动故障诊断系统而言是至关重要的。
Vibration signal pretreatment is much important to the vibrant fault diagnosiss ystem of waterpower set.
依据复合故障特性，提出了一种基于信息融合与神经网络的复合振动故障诊断方法。
According to the compound vibration fault attribute, a method of compound vibration fault diagnosis based on information fusion and neural networks is proposed.
最后结合风机振动信号的特点，对全息谱在风机振动故障诊断中的应用进行了研究。
Finally, combining the characteristics of the vibrating signal of fan, research is carried out on the application of holo spectrum in vibrating trouble diagnosis of fan.
最后，通过实例计算分析，验证了该方法在转子振动故障诊断方面是可行的和有效的。
Finally, the validity and feasibility of this method used for rotor vibration fault diagnosis were validated by calculating and analyzing the obtained examples.
本文简要介绍了汽轮发电机组振动故障诊断专家系统外壳ESVD的研制过程及其特点。
This paper introduces developing processes and characteristics of the expert system of vibration fault diagnosis(ESVD)for turbine generators.
本文讨论振动技术在可靠性工程中的两项最新应用，即随机振动应力筛选和振动故障诊断。
This paper discusses two new applications of vibration techniques in reliability engineering: random vibration stress screening and vibration fault diagnosis.
本文提出一个基于知识库和专家系统技术的水轮发电机组振动故障诊断与咨询的专家系统。
A vibration diagnosis and consultation expert system for hydroelectric generating set based on knowledge base and the technique of the expert system is proposed.
并提出了在应用模糊诊断方法进行振动故障诊断过程中，动态建立模糊关系矩阵的新见解。
A new viewpoint of building the fuzzy relation matrix dynamically during applying fuzzy diagnosis technique is also presented.
理论分析和实例结果验证了基于PNN的水轮发电机组振动故障诊断方法是正确和有效的。
It is shown that the PNN method is very effectively by the theoretical analysis and practical application.
将信息融合的层次与故障诊断的功能相对应，提出了旋转机械振动故障诊断的信息融合模型。
Based on hierarchy of information fusion being corresponding with function of fault diagnosis, it puts forward a data fusion model for fault diagnosis of rotating machines.
根据水轮发电机组的振动特点，探讨了适合于水轮发电机组的振动故障诊断方法，即模糊诊断法。
According to the vibration features of hydraulic generator set, the paper discusses a method that is suitable for vibration fault diagnosis, namely fuzzy diagnosis method.
本文以广东省某公路大桥为例，简要介绍了振动故障诊断技术在桥梁结构动载试验中的基本原理及其应用方法。
Take a certain bridge in GuangDong as an example; this paper introduced the basic theory and applicable method of vibrant diagnostic technology in the live load experiment for bridge.
结果表明，小波分析方法用于柴油机的振动故障诊断是有效可行的，对其他复杂机械的振动诊断同样具有参考价值。
The results showed that it is practicable to use the wavelet analysis method in vibration fault diagnosis, and it also has reference value on other complicated machines' vibration diagnosis.
本文根据粗糙集理论，对设备的振动故障诊断决策表进行属性约简，以提取故障识别的重要属性，降低决策表的冗余性。
Based on that theory, this paper deals with the attribute reduction for the fault diagnosis decision-making table of the vibration equipment.
分析了振动故障诊断系统中征兆的类型，提出了征兆获取的原则，论述了征兆可信度计算的方法，提高了故障诊断的自动化水平。
An analysis is conducted of the types of symptoms in a vibration fault diagnostic system and the principles of symptom acquisition are proposed.
提出了自适应学习率及动量因子的BP神经网络算法和误差逼近度渐近收缩学习的BP神经网络算法，并将其应用于汽轮发电机组振动故障诊断与识别。
The improved BP algorithms based on adaptive parameters adjustment and error contracting gradually are presented, which are applied successfully to fault diagnosis of steam- turbine generator unit.
该模型是按照故障征兆属性归类，通过分类识别缩小故障搜寻范围以利于故障的模糊诊断，然后再进行因子综合判断，对振动故障诊断的方法进行了研究。
The model categorizes the vibration fault according to its attributes, Narrows the range for searching fault by classification, then determines the fault by comprehensive multi-factor judgement.
本文介绍了利用表面振动信号进行柴油机内部故障诊断的基本方法。
This paper introduces the basic method for diagnosing interior faults of diesel engine by the use of surface vibration signals.
故障机理的研究振动信号分析是机械故障诊断技术中采用的最主要的方法之一。
Failure mechanism of vibration signal analysis is the mechanical fault diagnosis technology used in one of the main method.
振动信号的趋势预测是设备状态监测与故障诊断中的一个重要内容。
The trend forecasting of vibration signals is an important content of condition monitoring and fault diagnosis.
讨论了识别电机振动的意义、电机振动与故障诊断的关系、振动监测原理和监测手段。
The meaning to identify the vibration of electric machine, the relationship between the vibration and the failure diagnose, the monitoring principle and monitoring means of vibration are discussed.
相位信息在旋转机械的振动监测与故障诊断中起着重要的作用。
Frequency information plays an important role in vibration monitoring and fault diagnosis of rotating machinery.
在机械设备的在线检测和故障诊断中，振动信号分析是十分重要的手段。
In the online detection and fault diagnosis for mechanical equipment, vibrating signal analysis is an important means.
系统具有强大的网络支持功能，振动数据可通过以太网与远程故障诊断中心进行透明传输。
It has powerful network functions and the vibration data can be transparently transmitted to remote fault diagnosis center via Ethernet.
准确地提取各种典型故障的振动信号的时频域特征是进行机械故障诊断的关键。
Extracting precisely the vibration signals' characteristics in time and frequency of typical faults is a key to mechanical failure diagnosis.
风机的振动量测量是风机故障诊断的一个重要参量。
The vibrating signal is an important value in trouble diagnosis of fans.
风机的振动量测量是风机故障诊断的一个重要参量。
The vibrating signal is an important value in trouble diagnosis of fans.
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