The vibration behaviour of a rotor system supported by hydrodynamic bearing is significantly influenced by the dynamic characteristics of the bearings. An identification procedure for stimating bearings oil-film coefficients is developed in this work. Eight linearized oil-film coefficients are identified by fitting the measured complex functions of frequency response to those calculated theoretically. The theoretical model and reliability are examined by computer simulation. From error analysis, some interesting conclusions are reached and a new identification method is suggested in order to reduce the influence of phase measurement errors on estimated results.

The vibration behaviour of rotors with journal bearings is significantly influenced by the dynamic characteristics of the bearing oil-film. To validate analytical modes of oil-film dynamics, numerous experimental investigations have been undertaken. The authors have previously carried out a project to improve the quality of the estimation of oil-film coefficients. In the companion paper (part I), a system model and an algorithm with simulation results have been presented for a flexible rotor-bearing system under operating conditions. This second paper gives details of an experimental investigation designed to demonstrate the feasibility of the method.

在回顾传统的设计方法及状态监测的传统任务的基础上，展望现代设计技术与状态监测诊断内涵及共相互联系，提出状态监测的研究方向。

利用信息理论建立了描述多传感器之间关联特性的数学模型，并用相关和相干函数的概率分布导出度量两传感器在时域和频域关联程度的计算公式，从理论上研究了多传感器间关联特性的定量分析和计算问题。

A new strategy for the techniques of monitoring and diagnosing hydrodynamic bearing-rotor systems is recommended in this paper. The strategy integrates the traditional technique of spectrum and statistics analysis(backward inference) with the application of knowledge and information of rotor-bearing dynamics and tribology (forward inference).This strategy has been used to develop a monitoring and diagnosing system for rotating machinery and examples of the successfuI application of the system are given.

计算了柴油机气阀机构8种状态下的缸盖表面振动信号的模糊函数，将结果在频偏-时延相平面上用灰度图表示出来，得到了一系列模糊函数图像。选取一部分模糊函数图像进行平均，得到了各种状态的标准模糊函数图像，再根据图像之间的欧氏距离、相似度和J-散度等6种指标对模糊函数图像进行分类，从而将气阀机构的故障诊断转换为模糊函数图像的分类识别。试验结果表明，利用模糊函数图像可以取得很好的诊断结果，6种指标中欧氏距离和相似度两种指标的抗干扰能力比较强，更适合于作为模糊函数图像的分类指标。图像平均可以有效地提高故障诊断的正确率。

提出了一种基于多传感器信息融合技术对油品质量进行在线监测的新方法, 通过对粘度、温度、介电常数的测量, 建立了神经网络油品质量状态监测模型, 并给出了系统的设计方案。

The estimate model for a nonlinear system of squeeze-film damper (SFD) is described.The method of state variable filter (SVF) is used to estimate the coefficients of SFD.The factors which are critical to the estimate accuracy are discussed.

以某种四缸内燃机为物理样机原型，在高性能工作站上建立了模拟西部环境的对应虚拟样机试验系统，模拟了低气压、沙尘等典型西部环境因素对内燃机摩擦学、动力学行为的影响，研究中使用自编程序和专业软件相结合的办法，获得了该数字系统模型较为完整的虚拟试验数据及其结构对性能影响的数据，为内燃机在西部环境下更好的运行和维护提供了理论上和技术上的支持。

The experimental modal analysis (EMA) has been used to estimate modal parameters in many mechanical engineering problems, but it is mostly employed for nonrotating strucrures. A suocessflu application of an improved ITD Method in rotating machinery with oil-film bearings is described.