Results 51 to 60 of about 645 (141)
Fault diagnosis of marine electric thruster gearbox based on MPDCNN under strong noisy environments [PDF]
ObjectivesTo address the performance degradation in fault diagnosis of rotating machinery caused by noise interference in practical applications, a novel fault diagnosis approach based on Mel-frequency cepstral coefficients (MFCC) and a parallel dual ...
Qianming SHANG +4 more
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Gaoya dianqi, 2011 高压断路器故障的早期诊断是有效提高电力系统运行可靠性的重要手段,笔者提出应用高性能的支持向量机（SVM）进行高压断路器的机械故障诊断。支持向量机核函数参数的选择直接影响分类结果的好坏,该诊断方法采用群智能算法PSO确定支持向量机中核函数的最优参数以提升分类器性能,将从高压断路器的机械参数信号中提取的动作特性特征量作为支持向量机训练和识别的样本。试验结果表明,该方法确实达到了较高的故障诊断正确率。
袁金丽 +4 more
doaj
Fault diagnosis of ship motor bearings based on multi-domain information fusion and improved ELM [PDF]
ObjectivesAiming at the problems that the symptom parameters from monitoring signals in a single analysis domain fail to fully characterize the operating state of the monitored object, and the model parameters of the Extreme Learning Machine (ELM ...
Chun GE +3 more
core +1 more source
Gaoya dianqi, 2018 断路器的振动信号可以有效反映其机械运行状态,针对目前使用振动信号判别断路器常见机械故障正确率较低的现状,提出一种基于集合经验模态分解（EEMD）和马氏距离判别法的高压断路器机械故障诊断方法。首先,针对断路器振动信号的瞬时非平稳特性,使用EEMD将其分解得到若干个固有模态函数（IMF）。然后,基于EEMD的能量熵并联合其均方根值,构造一种新的故障特征向量。最后,利用马氏距离判别法进行机械故障识别。实验结果表明,该方法用于识别断路器正常、传动机构卡涩和基座螺丝松动等常见机械故障时,正确率可达到95.7 ...
孙抗, 刘永超
doaj
Deep residual shrinkage adaptive network-based cloud-edge-end collaborative fault diagnosis method for propulsion shafting system [PDF]
ObjectivesAiming at problems including the fact that the fault diagnosis model of propulsion shafting systems under variable working conditions has poor generalization and cannot learn autonomously, and that the performance of the model is relatively ...
Chong CHEN +4 more
core +1 more source
Gaoya dianqi, 2019 目前基于振动信号的变压器机械故障诊断多是通过对某个振动信号进行独立分析、提取特征量进行判定,对变压器机械状态的反映过于片面;基于振动信号特征矩阵相似度可实现综合不同测试位置、多组振动信号的变压器机械故障诊断,但该方法可能受负载条件影响而发成误判。文中改进了振动信号特征矩阵的构造方法,通过实验研究了负载率、功率因数、不平衡度对振动性信号特征矩阵相似度的影响,结果表明:文中所做改进可有效地减少故障诊断中由于负载条件改变造成的误判。应用改进后的特征矩阵相似度对模拟故障进行诊断,结果表明 ...
武立平 +5 more
doaj
Design and control strategy of intelligent lubrication system for mine hoist head sheave [PDF]
The sheave is an important part of a mine hoisting system. Once it fails, it will not only affect the production efficiency of coal mine, but also cause some safety risks. Poor lubrication is one of the main causes of sheave failure.
Juan WU, Tengyu LI, Ziming KOU
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Gaoya dianqi, 2019 机械故障是引起GIS故障的原因之一,因此对其机械状态进行故障诊断有助于提高供电的可靠性。文中利用开发的声成像试验装置,对不同机械缺陷下的GIS声成像特性进行试验研究,得到了地脚螺栓松动、绝缘盆螺栓松动、隔离开关接触不良时的声成像图。再利用灰度共生矩阵的方法,提出基于声成像云图特征值（角二阶矩能量、对比度、熵、相关性、逆差距）的GIS机械故障诊断方案。研究结果表明,对于母线筒处的故障,可以利用相关性的标准差、对比度的均值和对比度的标准差区别绝缘盆螺栓松动和地脚螺栓松动;对于在隔离开关处的故障 ...
付瑜 +5 more
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Gaoya dianqi, 2023 高压断路器机械故障数据的可靠、全面采集是有效分析和准确故障诊断的前提，也是提高设备操作安全可靠性的基础。文中以LW30-252型SF6高压断路器的CT26弹簧操动机构为研究对象，分析其结构特点及数据采集难点，详细阐述了高压断路器正常、油缓冲器漏油、合闸弹簧疲劳、分闸弹簧疲劳、传动轴销磨损、主轴卡涩、地脚螺栓松动共7种典型工况的模拟过程。文中以断路器分合闸过程中的振动、声音信号为检测信号，解决了传感器型号确定及安装位置选择问题，研制了故障信号采集系统，并介绍了故障检测采集系统的软硬件组成 ...
邵阳 +7 more
doaj
Research on anti-occlusion tracking method for underground mine personnel based on adaptive link optimization [PDF]
To address the issue of inaccurate trajectory matching caused by frequent occlusions and appearance confusion of underground mine personnel in coal mines, an anti-occlusion tracking method for underground mine personnel based on adaptive link ...
DONG Lihong, LU Yang, YE Ou
core +1 more source