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- New JCZ-B locomotive bearing fault diagnosis system can get fault characteristic from the vibration acceleration signal wich big noise and identify fault. 新型机车轴承故障诊断系统能从具有强背景噪声的机车轴承振动加速度信号中提取故障特征,实现机车轴承故障识别与故障类型自动辨别。
- bearing fault characteristics 轴承故障特征
- To extract incipient fault feature of mechanical signal, a new method to construct wavelet according to the fault characteristics is presented. 摘要针对机械信号早期故障特徵的提取问题,提出了一种根据故障特徵波形的特点来构造相应小波的方法。
- This paper introduced rolling bearing fault diagnosis based on demodulated resonance technique and neural network. 摘要介绍了一种基于共振解调与神经网络技术的滚动轴承故障诊断方法。
- This fault characteristics of rota ting stall have been successfully valida ted practical diagnosis. 该故障特征在现场诊断时得到验证,并成功应用于现场诊断。
- A new bearing fault detection approach based on relevance vector machine (RVM) is presented. 摘要针对轴承故障检测问题,提出一种基于相关向量机(RVM)的故障检测方法。
- The fault characteristics and its activity at the site of large-scale aluminum plant of Guangxi Pingguo are introduced in this paper. 文章介绍了广西平果大型铝厂厂址断层的特征及其活动性,阐明了在宏观活动性断裂带内存在稳定的地块,可以从事重大工程建设。
- Trial operation shows the system is advanced and reliable, meeting the requirement for locomotive bearing fault diagnosis. 试运行表明:系统先进可靠,能满足机车轴承故障诊断的需求。
- With FEM used to simulate the rotor system on which the looseness fault is occurring, the fault characteristics are obtained as follows. 采用有限元方法对发生松动故障的转子系统进行模拟,得到系统的故障特征。
- By the proposed method,the rolling bearing fault of a converter trunnion was detected.The diagnosed results are consistent with the fact. 应用该方法,对某转炉耳轴轴承进行故障诊断,诊断结果与实际情况相符。
- In view of 120-1 air brake fault characteristics, it used fault tree analytic method union logic code way to establish knowledge rule-set. 针对120-1空气制动机的故障特点,本文利用故障树分析法结合逻辑编码的方式建立知识规则集。
- The experiment verified, the Demodulated Resonance Technique is a right method in vibration signal processing in the rolling bearing fault diagnosis. 结果表明:在LabVIEW环境中使用共振解调法诊断滚动轴承故障能够取得比较好的效果。
- The fault characteristic of rolling bearing can be extracted via integrating general harmonic wavelet and resonance demodulation technique. 将广义谐波小波结合共振解调技术,可较好地提取轴承故障激发的共振信息。
- Considering structure of the equipment,the fault characteristics can be captured through analyzing the vibration signals picked with off-line or on-line monitoring system. 结合设备的结构特点,根据离/在线监测系统采集的振动信息,采用时频分析法可以有效捕获其中的故障特征。
- Typical fault characteristics are selected as training samples and GA is used to optimize the structure and original weight distribution of BP networks. 该法采用故障的典型特征作为样本训练网络,遗传算法来优化BP网络的结构与初始权值分布的策略。
- Fuzzy rules of bearing fault diagnosis are summa rized and maped into fuzzy neural network, which improves intelligence of bearing diagnosis.Part-layer learning algorithm is presented. 总结了轴承故障诊断的模糊规则,并把这些规则映射到模糊神经网络,提高了诊断的智能性。
- Comparison of the bearing"s early fault and late fault vibration signal decomposed results, proves that WPT diagnosis method used in incipient rolling element bearing fault is effective. 对比了该轴承外圈早期故障和晚期故障的振动信号的小波包分解结果,证明了小波包方法诊断滚动轴承早期故障的有效性。
- ABSTRACT: Experiments were made about analysis of rotor oil film whirl and malalignment faults characteristics based on a flexible rotor test bench. 摘要:本文基于柔性转子实验台,设计了油膜涡动和不对中两种故障的实验;
- The method can directly detect the fault characteristic signals in low frequency band and achievefault diagnosis. 该方法直接检测故障的低频特征信号,完成故障诊断。
- A method for diagnosing the rolling bearing faults in a gearbox based on Adaptive Noise Canceling(ANC) and Demodulated Resonance Technique(DRT) was presented. 提出了一种基于自适应除噪技术(ANC)和共振解调技术(DRT)的齿轮箱中滚动轴承的故障诊断方法。
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