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。

介绍了一种基于小波变换的数据压缩/解压系统。该系统对信号首先按不同的频带进行分解，然后分别进行数据压缩和数据重构。通过应用于远程实验的多功能转子试验台的振动信号数据压缩为实例，验证了该系统具有较好的压缩效率、压缩速率和可靠性。

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.

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。

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.