A recognition method of vibration parameter image based on improved immune negative selection algorithm for rotating machinery

To overcome the limitations of traditional monitoring methods, based on vibration parameter image of rotating machinery, this paper presents an abnormality online monitoring method suitable for rotating machinery using the negative selection mechanism of biology immune system. This method uses techniques of biology clone and learning mechanism to improve the negative selection algorithm to generate detectors possessing different monitoring radius, covers the abnormality space effectively, and avoids such problems as the low efficiency of generating detectors, etc. The result of an example applying the presented monitoring method shows that this method can solve the difficulty of obtaining fault samples preferably and extract the turbine state character effectively, it also can detect abnormality by causing various fault of the turbine and obtain the degree of abnormality accurately. The exact monitoring precision of abnormality indicates that this method is feasible and has better on-line quality, accuracy and robustness.     

Rotordynamic forces generated by discharge-to-suction leakage flows in centrifugal pumps

In order to investigate the flow-induced vibration in the shroud passage of centrifugal pump and predict rotordynamic forces of centrifugal pump rotor system,an analysis of rotordynamic forces arising from shrouded centrifugal pump is presented. CFD techniques were utilized to analyze the full three-dimensional viscous,primary/secondary flow field in a centrifugal pump impeller to determine rotordynamic forces. Multiple quasi-steady solutions of an eccentric three-dimensional model at different whirl frequency ratios yielded the rotordynamic forces. The skew-symmetric stiffness,damping,and mass matrices were obtained by second-order least-squares analysis. Simulation of the coupled primary/secondary flow field was conducted,and the complex flow characteristics in the flow field of a shroud passage were achieved including the mean velocity and pressure,as well as the eddy in a large scale of flow field due to viscosity. The rotordynamic force coefficients were calculated,and the results were in good agreement with those of experiment except for the direct inertial coefficient without the consideration of whirling forces from the impeller primary flow passage.     

A Message Entropy Method of Learning from Examples

Extension matrix（EM）and ID3 are two main algorithms with wide applicationin the field of machine learning,but analysis shows EM may Cause false diagnosis and ID3may cause fail diagnosis.This paper presents a new combination of these two methods toachieve a new method called entropy extension matrix（EEM）and a new concept ofgeneralization association ability（GAA）.Results show that this algorithm has propertiesbetter than those of EM and ID3.     

小波分析和分形几何在转子动静碰摩故障诊断中的应用

应用小波分析和分形几何方法对转子动静碰摩故障信号进行处理,得到比傅立叶分析更明显的特征,从而为故障诊断系统提供精度更高的摩擦故障征兆。     

旋转机械故障诊断的自学习方法研究

分析并介绍了旋转机械故障诊断的模糊数学与专家系统相结合的诊断方法，提出了一种实用的自学习策略，用这一诊断方法在实验室对一双跨转子进行了两种常见故障的学习及诊断。并将该学习模块装入现场一台５０ＭＷ汽轮发电机组的故障诊断专家系统中，经过多年运行，专家系统知识库得到不断完善。     

燃气轮机滚动轴承故障及振动传递特性研究

针对燃气轮机动力涡轮转子系统中滚动轴承故障高发的问题,基于赫兹接触理论建立了滚动轴承故障激励力模型,并验证了其准确性。基于有限元法建立了转子-轴承-机匣-固定平台整机模型以揭示振动传递特性。频域分析结果表明：单故障条件下不平衡激励力与滚动轴承故障激励力是单向耦合的关系;双故障条件下,若故障点直径相同,加速度信号中滚子故障主要频率对应的加速度幅值最大,外圈故障主要频率对应的加速度幅值最小。     

船舶艉管轴承润滑流场数值分析

针对水润滑船舶艉管轴承建立了三维几何模型,对轴承内部流场进行了数值分析。分析了水润滑船舶艉管轴承内部流场的压力分布、温度分布、速度分布、湍流能量分布。计算结果表明,轴承内部周向凹槽可以减缓轴承轴向压力降低,轴向凹槽可以增强轴承内部冷却效果,使压力场均匀化,沟槽面可以使层流边界层区域增大,使转捩为湍流的雷诺数增大,降低轴承压力损失。在研究的10种轴承中,组合槽轴承没有出现负压区,空穴效应小,内部湍流能量下降最快,对船舶轴系的激振力最小,可以提高船舶轴系运行稳定性。     

基于AR模型的声发射信号到达时间自动识别

声发射信号到达时间的信息,对于声发射事件的定位、识别以及声发射源机理分析都是非常重要的。实际应用中,常用人工读取或通过设定幅值阈值来获取信号的到达时间。针对以上常用方法的缺点,结合噪声信号的AR模型和声发射信号的AR模型,应用Akaike信息准则,实现了对声发射信号到达时间的自动识别。对实验数据的识别结果显示,该方法对信号的幅频特性变化比较敏感。在相同信噪比的情况下,该方法识别的偏差要小于阈值法。当信噪比较低时,阈值法可能会给出错误的结果,而该方法仍然能够给出较准确的结果。     

转子-轴承系统局部碰摩故障机理研究

对滑动轴承支承下的转子系统进行故障机理分析,建立了碰摩故障转子系统的动力学模型,应用非线性动力学理论对所建立的滑动轴承支承下的碰摩转子系统进行了研究,应用数值积分方法得到系统的响应,利用幅频曲线、分岔图和三维谱图研究了系统响应随转速、偏心量、半径间隙、摩擦因数及静子径向刚度等因素的变化规律。     

涡轮转子起动温升曲线优化及试验研究

涡轮转子在快速起动的过程中会产生较大的热应力,影响转子的热疲劳寿命。结合遗传算法与转子结构热分析,提出发动机起动温升控制曲线非单调参数化,对涡轮转子快速起动过程中的温升控制曲线进行优化设计。优化过程以转子最大热应力为目标函数,计算搜索最优解,并研究温升控制曲线对转子最大热应力的影响。结果显示,优化后的发动机快速起动温升控制曲线可以有效地降低转子的最大热应力和缩短快速起动时间。同时,为了验证提出的涡轮转子快速起动温升曲线优化设计方法的有效性,搭建转子热冲击应力测试试验台,通过对比优化前后温升曲线下的转子最大热应力,验证了理论分析结果。提出的优化设计方法可以为发动机设计初期的快速起动控制方案设计提供一定借鉴。