| 1. | Dusel engine : wearing condition strain monitoring of main journal bearing
应变法监测柴油机滑动主轴承磨损状态的研究 |
| 2. | The simulated experiments of cylinder liner wear conditions are carried out on a set of 6 - 135g diesel
首先分析了活塞对气缸套的冲击，建立了活塞撞击气缸套侧推力的数学模型，探讨侧推力的大小及作用时间。 |
| 3. | Wear particles generated from the friction couples are important information carrier of wear condition , which directly reflect wear degree and wear mode
在润滑系统中，磨粒是磨损状态的重要信息载体，可以反映机械设备摩擦副磨损的程度和形式。 |
| 4. | The recognition of the wear particle is the core step of the ferrography , the result of the recognition has direct relation to the correctness of the wear condition monitoring for the equipments
磨粒识别是铁谱分析的核心环节，识别的正确与否，直接关系机器磨损状态诊断的正确性。 |
| 5. | Bispectral analysis can reveal information of quadratic phase coupling of a time series and fits well the demands of characteristic extraction while on - line monitoring wear conditions of a milling cutter
摘要双谱分析能够揭示时间序列的二次相耦合信息，特别适于铣刀磨损状态监测信号的特征抽取。 |
| 6. | However , the increasing trends of wear depth varies at different fretting wear conditions due to the simultaneous variations of contact area and contact stress in the process of fretting wear
建立的钢丝接触有限元模型表明，接触区中心的最大接触应力随着接触载荷的增加而增大，随着嵌入深度的加深而减小。 |
| 7. | The ferrography is a wear diagnosis technology based on the analysis of wear particle . the practice has proved that the ferrography is the most effective method for wear condition monitoring and wear fault diagnosis
铁谱分析技术是以磨损磨粒识别为基础的诊断技术，它是机械设备磨损监测与故障诊断最为有效的方法之一。 |
| 8. | With continuous wavelet transform as feature extraction method and neural network as classifier , a transmission ge ar wear estimation system is designed and applied in estimating the wear condition of the gear
以连续小波变换作为变速箱齿轮的磨损特征向量的提取方法、以神经网络作为分类器，设计了变速箱齿轮的磨损估计系统，并应用于变速箱齿轮的磨损状况估计。 |
| 9. | According to the relation between gear wear and its vibration , continuous wavelet transform is introduced to estimate the wear condition , the energy values of continuous wavelet on scale fit a spline which is much like that of the wear course of the gear
最后，将基于连续小波变换的信号处理方法引入变速箱齿轮的磨损估计。根据信号的连续小波变换的能量谱对尺度的积分值，拟合得到齿轮的磨损过程曲线。 |
| 10. | Two parameter estimation methods of the texture model based on the gibbs distribution and neighbor pixels are adopted to extract the features of workpiece surface texture . tool wear condition is recognized by the feature parameters of texture
提出了基于gibbs分布和基于近邻像元的两种纹理模型参数估计方法以提取工件表面纹理特征，并利用纹理特征参数对刀具的磨损浙江大学博士学位论文状态进行判别。 |
