齿轮箱的失效原因与振动诊断

齿轮箱是各类机械设备通常具备的变速传动部件，齿轮和齿轮箱的工作状态的好坏直接影响整个机械系统的工作，它们的故障往往是造成系统不能正常运转的常见原因之一，所以它们的制造质量、工作平稳性和噪声是机器制造质量的重要标志。文章介绍了柴油机齿轮箱的失效形式和原因，并通过振动监测具体分析了某齿轮箱的故障。     

一种轻型天线稳定平台的设计

介绍了一种适用于大振动、冲击、强电磁干扰、倒单摆式大惯量负载等特殊要求的轻型天线稳定平台的机电一体化设计.可对类似的应用提供有用的借鉴.     

某站场地基强夯振动影响范围研究

针对某站场地基采用6000kN·m夯击能强夯加固海漫滩填海区工程，现场测试了地表振动速度，在此基础上，分析研究了振动在水平方向的衰减规律、主振频率等，分析了拟建场地边立交桥在不同夯击能下的安全距离．结果表明：地表最大振动速度的衰减规律满足乘幂关系；强夯产生的振动的主振频率均处于10Hz以下；以地表振动速度作为判别标准，测得该场地在6000kN·m夯击能下对立交桥的安全距离为30m．     

提高地方铁路工程总承包项目盈利水平的投资控制分析

国内铁路工程与其他行业相比，在工程总承包项目实施过程中有其独特的承包风险，投资控制难度较大。此文结合国内地方铁路工程总承包（EPC）项目投资控制特点，对EPC项目全过程中各阶段投资控制的关键问题进行分析，并提出了提高盈利水平的控制策略及措施。     

地铁交通诱发邻近建筑物振动的实测与分析

根据现场实测数据,对某地铁2号线沿线典型区段地铁引起的临近建筑物振动实况和振动特性及其传播规律等进行了分析研究。结果表明:地铁诱发的沿线建筑物的振动以竖向为主,且楼层竖向振动基本表现为整体振动;在框架结构中,振动信号主要是沿柱子向上部楼层传播;楼层振动主要表现为低频的楼板振动,楼层间信号的放大主要集中在20 Hz以下的低频信号。此外,本文还给出建筑物振动实测资料的评价分析,为评估地铁运营诱发的环境振动与城市规划设计提供参考。     

发动机带传动中皮带寿命提高方法研究

设计一种新型的通用皮带预紧力测量装置，通过分析发动机皮带传动中的横向振动，提出带轮结构布置原则。实验证明，根据该原则进行皮带轮结构布置并设定准确的皮带预紧力，可减小传动打滑现象，有效提高皮带的使用寿命及皮带传动效率.     

液压油过滤技术在工程机械中的应用

针对工程机械液压油污染等级问题,探讨了液压油过滤技术根据液压油过滤工艺设计了一种具有三级滤芯的过滤机和管路组成的过滤系统,使用快换接头将过滤系统与工程机械液压油箱连接,能满足大批量工程机械液压油过滤作业的需要。用检测仪检测证明:该过滤系统过滤后的液压油污染等级优于行业要求标准     

Railway wheel-flat and rail surface defect modelling and analysis by time–frequency techniques

Damage to the surface of railway wheels and rails commonly occurs in most railways. If not detected, it can result in the rapid deterioration and possible failure of rolling stock and infrastructure components causing higher maintenance costs. This paper presents an investigation into the modelling and simulation of wheel-flat and rail surface defects. A simplified mathematical model was developed and a series of experiments were carried out on a roller rig. The time–frequency analysis is a useful tool for identifying the content of a signal in the frequency domain without losing information about its time domain characteristics. Because of this, it is widely used for dynamic system analysis and condition monitoring and has been used in this paper for the detection of wheel flats and rail surface defects. Three commonly used time–frequency analysis techniques: Short-Time Fourier Transform, Wigner–Ville transform and wavelet transform were investigated in this work.     

The dynamic response of rail support

This research reviews principles behind the dynamic response of rail supports, and introduces a method of analysis to find the maximum response in a realistic setting. Assuming a time-dependent, moving mass with massive wheels is essential, because the ratio of the moving mass to the rail mass is significant. However, the dynamic response of the track is not affected by dynamic properties of the train other than its unsprung mass, because the natural frequencies of the train suspension and track are significantly different. A numerical method is developed to model the dynamic response based on these principles, and applied to the Korean urban transit. The dynamic response includes multiple peaks with a large amplitude range, creating noise while the wheel passes the support. The dynamic impact factor (DIF) for the rail support depends mainly on the stiffness and damping of the rail support. The DIF for the rail moment is below the code value, whether this value is based on numerical analysis or on-site measurements. However, our numerical analysis results in a DIF for support settlement that is greater than the code value, if the damping is less than 3%.     

The cost of not holding back the sea: Toward a national sample of economic vulnerability

Abstract

National and regional estimates of U.S. economic vulnerability to greenhouse‐induced sea‐level rise are produced from a sample of 30 discrete regions scattered evenly along the coastline. Scenarios that envision 50 cm, 100 cm, and 200 cm of greenhouse‐induced sea‐level rise are considered. They can be expected to place $39.2, $65.6, and $133.3 billion, respectively, (1989 dollars) of existing development in jeopardy through 2050, and $133.3, $308.7, and $909.4 billion through 2100. Sampling error and consideration of the uncertainty with which we currently view future greenhouse‐induced sea‐level rise places the 25th and 75th percentile values of expected cumulative vulnerability at $38.5 and $76.7 billion through 2050 and $132.6 and $362.4 billion through 2100. Not surprisingly, the southeast displays the largest potential vulnerability, with the northeast ranking second above both the Gulf coast and the west coast.