在此基础上研制一套通用性旋转机械振动信号测试与分析系统。
A general vibration signal testing and analyzing system for rotating machine is developed based on the methods.
阶比分析技术是旋转机械振动信号分析和故障诊断的一项重要技术。
Order analysis is one of the most important techniques of rotating machinery involving vibration signal processing and fault diagnosis.
通过分析旋转机械振动信号的特点，指出旋转机械的振动信号为循环平稳信号。
The paper considered the vibration signals of rotating equipment as cyclostationary signals through analyzing the features of this kind of signals.
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.
针对旋转机械振动信号数据采集的特点，提出了用数学形态滤波器实现轴心轨迹提纯的新方法。
Targeting at data acquisition characteristics of vibration signals of rotating machinery, a new rotor orbit purification method using mathematical morphology filters is proposed.
介绍了一种用于旋转机械振动信号分析的阶比跟踪方法，以及基于PCI数据采集卡的具体实现方法。
In this paper, an order tracking method, which is used to analyze vibration signal of rotating machinery and its implement based on PCI data acquisition card are introduced.
试验结果表明，变窗移傅里叶变换算法正确可行，可有效提取旋转机械振动信号转速谱阵的特征信息。
The experimental results show that it is correct and feasible, and can extract characteristic information of the rotating speed spectral map effectively.
以模糊诊断原理为基础，建立故障机理和故障诊断的数学模型，并对引起旋转机械振动故障的各种原因进行分析对比。
With the principle of fuzzy to diagnose as foundation, sets up the mathematics model for trouble mechanism and diagnosing trouble.
试验表明，系统可以发现故障机械振动信号带有的奇异性，实现旋转机械的故障诊断。
Experimentation results indicate that the singularity of the fault machinery vibration signal can be detected and the machinery fault can be discovered by the system.
试验表明，系统可以发现故障机械振动信号带有的奇异性，实现旋转机械的故障诊断。
Experimentation results indicate that the singularity of the fault machinery vibration signal can be detected and the machinery fault can be discovered by the system.
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