柴油发电机组噪声及控制

通过分析柴油发电机组的噪声特性,提出控制柴油发电机组噪声的措施。柴油发电机组噪声得到有效控制,必将扩大柴油发电机组的应用领域。     

某型双频发电机组中频不发电故障排除剖析

对一台汽油机双频发电机组中频不发电故障现象进行了原因分析、诊断排除的描述,并对出现此类故障可能产生的故障点进行了剖析。     

内燃机发电机组国际准入制度介绍

针对我国内燃机发电机组的发展和出口情况,介绍主要出口国及地区的市场准入制度,为我国内燃机发电机组企业出口提供技术指导,以应对国际日益复杂的市场环境,进一步提升我国内燃机发电机组产品的国际竞争力。     

柴油机发电机组在电厂中并网功能的应用分析

本文介绍了柴油发电机组与市电的正并网、反并网功能的工作原理,详细讨论了在某电厂中柴油发电机组并网功能的应用.     

基于粗糙集的卫星侦察监视情报保障能力评估

提出应用粗糙集理论评估卫星侦察监视情报保障能力的方法,构建了卫星侦察与监视情报保障能力的评估指标体系,并给出了评价决策表和权重的计算方法。通过对测试数据的分析,得到了约简后的评估指标和权重,克服了传统权重计算方法的主观性,使评估结果更加科学合理。     

无刷直流电机无位置传感器直接转矩控制

本文提出了一种将直接转矩控制应用于无刷直流电机的无位置传感器控制方法。需观测无刷直流电机的直流母线电压及定子侧的三相电流,从而估算出电机的磁链、转矩以及位置角,再根据转矩、d-q坐标系上的电流分量以及转子位置信息来选择相应的电压空间矢量,以实现对无刷直流电机的控制。仿真和实验结果表明本文提出的控制方法有效可行。     

基于犹豫度专家残缺权重补充及其群决策方法

针对直觉模糊群决策专家权重残缺的问题,在各方案平行的前提下,提出了一种基于直觉模糊数犹豫度的专家客观权重补充方法。并结合专家的主客观权重,给出决策者客观不同的专家权重公式。最后,综合各决策者的犹豫度对方案进行排序择优,并通过实例分析说明了该方法模型的具体应用及计算过程。     

Stochastic user equilibrium with equilibrated choice sets: Part I – Model formulations under alternative distributions and restrictions

The aim of this paper is to remove the known limitations of Deterministic and Stochastic User Equilibrium (DUE and SUE), namely that only routes with the minimum cost are used in DUE, and that all permitted routes are used in SUE regardless of their costs. We achieve this by combining the advantages of the two principles, namely the definition of unused routes in DUE and of mis-perception in SUE, such that the resulting choice sets of used routes are equilibrated. Two model families are formulated to address this issue: the first is a general version of SUE permitting bounded and discrete error distributions; the second is a Restricted SUE model with an additional constraint that must be satisfied for unused paths. The overall advantage of these model families consists in their ability to combine the unused routes with the use of random utility models for used routes, without the need to pre-specify the choice set. We present model specifications within these families, show illustrative examples, evaluate their relative merits, and identify key directions for further research.     

Driving analytics using smartphones: Algorithms,comparisons and challenges

The present work investigates the use of smartphones as an alternative to gather data for driving behavior analysis. The proposed approach incorporates i. a device reorientation algorithm, which leverages gyroscope, accelerometer and GPS information, to correct the raw accelerometer data, and ii. a machine-learning framework based on rough set theory to identify rules and detect critical patterns solely based on the corrected accelerometer data. To evaluate the proposed framework, a series of driving experiments are conducted in both controlled and “free-driving” conditions. In all experiments, the smartphone can be freely positioned inside the subject vehicle. Findings indicate that the smartphone-based algorithms may accurately detect four distinct patterns (braking, acceleration, left cornering and right cornering) with an average accuracy comparable to other popular detection approaches based on data collected using a fixed position device.     

舰船中压发电机组振动监测与故障诊断

中压发电机组是舰船的动力核心,中压发电机组在使用较长时间之后可能会出现振动异常的问题,通过对其进行振动检测,能够确定振动异常的位置和原因,并通过针对性的措施来解决问题,维护中压发电机的正常运行。本文以某舰船的中压发电机组故障问题为例,对中压发电机组振动监测与故障诊断进行了详细的分析。