高频谱峰群在轴承故障诊断中的意义

论证了轴承信号中高频谱峰群的存在,指出了高频谱峰群中含有轴承元件疲劳剥落缺陷的重要信息,对轴承的故障诊断具有重要意义．     

ORACLE数据库在大H型钢轧线二级系统中的应用

该文阐述了ORACLE数据库的特点及其访问方式,并介绍了ORACLE数据库及其所带的Form,Reports在开发大H型钢轧线二级系统中的应用。     

Velocity control of a cylindrical rolling robot by shape changing

A rolling robot is developed that possesses an elliptically shaped outer surface with the ability to change shape as it rolls, resulting in a gravity-powered torque imbalance that accelerates or brakes the robot’s motion. Angular position and velocity are measured onboard and used as feedback control to trigger and define shape change actuation. Goal of the control is to direct the robot to follow a given step angular velocity profile. An equation of motion for the rolling robot is derived and solved numerically, and simulations are compared to velocity data from roll trials of the actual robot. Results show that when the robot is given a set of advantageous initial conditions, it is able to accelerate from rest, maintain constant average velocity, and brake its motion in order to follow a desired velocity profile with significant accuracy.     

莱钢厚板轧机轧制力模型的应用

提出了中厚板轧机轧制力计算模型,并在此基础上,对数学模型进行在线自适应,使计算得到的轧制力更接近于实测值。     

全连续式冷轧工艺特征分析

全连续式冷轧工艺的发展对冷轧带钢的生产带来了重大的变革。然而能形成全连续轧制的条件也是有一定限度的,本文即是结合我国引进的宝钢2030mm轧机从入口段带钢运行条件导出带长与速度的关系式,从主电机功率的利用率分析了全连轧与常规轧制的差异。     

方向估计的神经网络计算

本文给出一种借助于二维神经网络构成的混合系统,用它来完成几种方向估计算法,这些算法包括：最大似然法,交替投影最大似然法,Ｍａｒｃｏｓ等人提出的无需特征分解的“传播算法”。利用神经网络对某些算法的快速性,该系统为实时实现目标的精确定位提供了一条新的,有效的途径。     

Influence of tyre pressure and vertical load on coefficient of rolling resistance and simulated cycling performance

The coefficient of rolling resistance (C _r) for pneumatic tyres is dependent on hysteresis loss from tyre deformation which is affected by the vertical force applied to the tyres (F _v) and the tyre inflation pressure (P _r). The purpose of this paper was to determine the relative influence of five different levels of P _r and four different levels of F _v on C _r and to examine the relationships of C _r with P _r and F _v during cycling locomotion. F _v was modified through carriage of additional mass by the subject. C _r was determined with the coasting deceleration method from measurements performed in a level hallway. Iterations minimizing the sum of the squared difference between the actual deceleration distance and a predicted deceleration distance were used to determine C _r. This latter distance was computed from a derivation based on Newton's second law applied to the forces opposing motion. C _r was described by a hyperbolic function of P _r (C _r = 0.1071 P _r ^?0.477, r ² = 0.99, p < 0.05), decreasing 62.4% from 150 kPa (C_r= 0.0101) to 1200 kPa (C_r = 0.0038). F _v was related to C _r by a polynomial function (C _r = 1.92.10^?8 F _v ² ?2.86.10^?5 F _v + 0.0142, r ² = 0.99, p = 0.084), with an added mass of 15 kg (C _r = 0.0040) resulting in an 11.4% increase in C _r compared with no added mass (C _r = 0.0035). From this study, it is concluded that the relationships of P _r and F _v with C _r for cycling are non-linear. Furthermore, a simulation model shows that changes in P _r and F _v of the magnitude examined here have an important effect on competitive cycling performance.     

Induction motors bearing fault detection using pattern recognition techniques

This paper proposes a systematic procedure based on a pattern recognition technique for fault diagnosis of induction motors bearings through the artificial neural networks (ANNs). In this method, the use of time domain features as a proper alternative to frequency features is proposed to improve diagnosis ability. The features are obtained from direct processing of the signal segments using very simple calculation. Three different cases including, healthy, inner race defect and outer race defect are investigated using the proposed algorithm. The ANNs are trained with a subset of the experimental data for known machine conditions. Once the network is trained, efficiency of the proposed method is evaluated using the remaining set of data. The obtained results indicate that using time domain features can be effective in accurate diagnosis of various motor bearing faults with high precision and low computational burden.     

Effect of high temperature annealing on texture and microstructure on an AISI-444 ferritic stainless steel

AISI 444 is a Mo-alloyed ferritic stainless steel which presents good naphthenic corrosion resistance, making it attractive for applications in petroleum refining plants; however, good formability is also important. To achieve good formability with this alloy the annealing process is crucial. The annealing temperature in ferritic stainless steel is usually around 850 °C, which falls in the range of sigma phase precipitation. A means to avoid this precipitation is to anneal at temperatures around 1000 °C followed by rapid cooling. Annealing at high temperatures can cause grain growth and carbide or nitride precipitation which can result in a reduction of room temperature toughness. In this paper, the rolling and recrystallization textures of AISI 444 steel were studied in samples cold rolled with different thickness reductions (30%, 60%, 80% and 90%) followed by annealing at 955, 980 and 1010 °C. Aspects of grain size and carbide precipitation after annealing were characterized using EBSD and AFM. The material drawability was analyzed through strain rate or Lankford (r) coefficients calculated from texture results.     

离心式空压机轴瓦振裂的原因与处理

简介了6000m^3／h空分设备配套的H820．6．1／0．85型离心式空压机轴承结构、润滑系统和运行参数，介绍了轴瓦振裂的现象，并分析了原因，阐述了采取的处理措施、效果以及从中得到的教训。