Results 81 to 90 of about 2,185 (152)
Type system in programming language Gödel [PDF]
, 2005 中文摘要：Gödel 语言是一种说明性逻辑程序设计语言。该语言基于一阶逻辑，引入了一个多态多类的类型系统和多种 新的语言成分，支持抽象数据类型和模块化程序设计等技术，语言本身也具有很强的说明性语义。详细介绍了Gödel 语言的类型系统及其构造，对在逻辑程序设计语言中引入类型系统的作用进行了一些深入的分析和讨论。 英文摘要：Gödel is a declarative logic programming language.
晏松, 王炳波, 赵致琢
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Zhendong Ceshi yu Zhenduan针对旋转机械高维故障数据集中特征属性冗余导致的故障分类困难问题，提出一种基于局部Fisher主成分判别分析（local Fisher principal component discriminant analysis， 简称LFPCDA）的故障数据集降维算法。首先，利用Laplacian得分算法过滤高维故障特征集中冗余特征，并将主成分计算融入局部Fisher判别分析（local Fisher discriminant analysis， 简称LFDA）中 ...
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Gaoya dianqi, 2011 电子传感器具有频带宽、动态性能好、大电流不饱和等特点,可实时准确测量电力系统运行参数。笔者提出了一种基于电子式传感器的短路故障诊断系统,利用小波变换提取电子式传感器检测到的信号特征,采用神经网络进行故障分类和模式识别,并结合专家系统进行电力系统的短路故障诊断,利用MATLAB和C++对系统进行了仿真验证,结果表明该系统可以达到较好的短路故障识别效果。
金立军 +4 more
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Internal corrosion rate prediction of natural gas gathering and transportation pipelines in marine environments [PDF]
ObjectiveTo improve the accuracy of internal corrosion rate predictions for natural gas gathering and transportation pipelines in marine environments, evaluate their residual strength, develop anti-corrosion measures, and ensure their safe operation, a ...
Sisi CHEN, Yiqiong GAO, Zhengshan LUO
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Study on properties of armature current for micro DC motors and multiple features of fault diagnosis [PDF]
, 2015 针对直流微电机生产线上故障检测环节难以自动化的问题,提出一种基于故障多特征量的直流微电机故障诊断模型。通过分析空载和稳态下直流微电机的动态数学模型,推导出电枢电流的时域解析式,确定基于电枢电流的频域故障多特征量。以数台直流微电机为实验样本,分析其电枢电流时频域特征,对典型故障直流微电机运用定义的故障多特征量进行故障分析。实验结果表明不同故障电机的多特征量变化率明显不同,该故障多特征量可以被用来诊断直流微电机。A fault diagnostic model for the micro direct ...
伍卫, 洪剑锋, 谢志平
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Anomaly Detection for Photovoltaic Based on Improved VMD-XGBoost-BiLSTM Combination Model [PDF]
Photovoltaic is a vital and rapidly developing form of renewable energy generated in China, and anomaly detection is a crucial reference for making decisions on its system operation and maintenance.
Bochao ZHAO, Jiajun MA, Lei CUI, Wenpeng LUAN, Jing ZHU
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Fault diagnosis method based on modified random forests [PDF]
, 2009 为解决不可识别故障诊断中无法有效定位的问题,提出一种基于改进随机森林的故障诊断方法。该方法通过改进决策树的bAggIng方式,采用条件概率指数进行决策树的无偏节点分裂,并以权重投票法综合决策树的分类结果。在此基础上,利用变量重要性测量来获取辅助故障定位的故障原型指数,从而较好地弥补了随机森林和传统机器学习在故障诊断中的不足和局限性。最后在一个标准数据集和田纳西-伊斯曼故障诊断的问题上进行验证,结果证明了该方法的有效性与可行性。To solve the problem of inefficient ...
吴长庆 +4 more
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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
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Gaoya dianqi大功率直流充电桩是未来电动汽车充电设施的发展方向，充电模块是直流充电桩最重要以及故障率最高的部件，其中功率器件开路故障较为常见。为保证充电模块安全可靠运行，需要对充电模块功率器件开路故障进行准确识别和定位。文中首先对充电模块拓扑结构和故障类型进行分析，然后分别对基于解析模型、基于信号处理和基于知识的功率器件开路故障诊断方法进行总结，分别介绍了各类方法的基本思想、研究进展和优缺点，最后总结并展望充电模块功率器件开路故障诊断方法未来的研究和发展方向。
刘秀兰 +7 more
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Fault diagnosis method of rolling bearing of mine main fan based on transfer learning [PDF]
The condition monitoring and fault diagnosis of the rolling bearings of the main fan in the mine are significant to the safety of coal mine production. The existing fault diagnosis methods of rolling bearing have the problems of insufficient training and
Guoying MENG, Wei CUI, Xingwei WAN
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