Real-Time Fault Diagnosis for Gas Turbine Blade Based on Output-Hidden Feedback Elman Neural Network

In order to remotely monitor and maintain large-scale complex equipment in real time, China Telecom plans to create a total solution that integrates remote data collection, transmission, storage, analysis and prediction. This solution can provide manufacturers with proactive, systematic, integrated operation and maintenance service, and the data analysis and health forecasting are the most important part. This paper conducts health management for the turbine blades. Elman neural network, and improved Elman neural network, i.e., outputhidden feedback (OHF) Elman neural network are studied as the main research methods. The results verify the applicability of OHF Elman neural network.     

假设检验在汽车排放实验室质量监控中的应用研究

设备比对作为一种有效的质量监控方法,在汽车检测行业得到了广泛应用.众所周知,影响整车排放检测结果的因素较多,试验结果的偏差较大;但因排放检测设备价值昂贵,具备两套及以上排放检测设备的实验室较少,因此,在进行质量监控时,受检测设备数量的限制,难以选择设备比对的方式.本文以5家实验室比对的数据为例,选择其中的极端数据模拟进行两套设备间的设备比对,得出了假设检验用于设备比对的分析方法,并给出了试验数据的置信区间.与实验室间比对结果相比,使用该方法进行两套设备间的比对,比对结果可信.     

论经济新常态下交通运输行政执法体制改革

交通运输是国民经济基础性行业,经济新常态下改革交通运输执法体制是贯彻中央全面深化改革、全面依法治国方针的内在要求,是消除执法体制机制弊端、根治执法乱象、破解交通运输发展瓶颈的有效途径,改革的主要内容和目的主要有整合职能、精简机构、核定编制、保障经费四个方面。改革中市辖区不设置执法机构,市管公路治超站移交县级管理,妥善进行富余人员转岗分流,要制定配套政策、采取措施保障改革顺利进行,处理好改革与稳定的关系,做到改革与治理两不误。     

基于多源数据的公交车能耗碳排放测算模型

公交车能耗碳排放强度与车辆、线路和驾驶员有显著相关关系，为精准刻画其能耗碳排放强度特征，整合OBD监测数据、加油(气)数据、运营排班数据等多源数据资源. OBD监测数据和加油(气)数据呈显著的线性关系，证明修正后的OBD监测数据可满足分析要求. 搭建“速度-能耗碳排放强度曲线”测算模型，幂函数关系的拟合优度R2 =0.972 6 为最高. 实证研究发现，平均速度在10~60 km/h 变化时，液化天然气(LNG)车比柴油车能耗碳排放强度高 3.3%~33.7%，双层车比铰接车高2.4%~13.3%；LNG铰接车在不同线路、相同速度下的强度相差9.6%；不同驾驶员在相同线路的能耗碳排放强度可相差24.2%. 模型为各城市基于多源数据开展公交能耗碳排放目标设定提供数据支撑.     

基于下游大水位变率的下水式垂直升船机随动技术的设计与实现

下游航道水位变率大,快速适应水位变化的准确停位随动技术,对下水式升船机的传动控制很重要.本文介绍下水式垂直升船机随动控制技术.首先,对控制对象的特性进行分析,描述了系统的速度运行曲线,对位置控制功能进行了研究.然后,搭建试验平台对本控制方案的性能进行了测试,给出了测试的方法和试验结果.实验结果表明本控制系统具有定位精度高、响应速度快等优点,能够适应下游大水位变化率的下水式垂直升船机准确停位要求.     

A proposed vision and vehicle-to-infrastructure communication-based vehicle positioning approach

It is essential to obtain accurate location of vehicles for new applications of Intelligent Transportation Systems. To remedy the defects of present Global Positioning System and vehicle-to-infrastructure (V-I) positioning technology, a new positioning approach based on vision and V-I communication is proposed. This approach aims at lane-level positioning with lower cost than conventional ones. In this approach, the position of the vehicle is represented by its lateral position (the lane number) and longitudinal position (the distance from entrance of the road) in a course coordinate system along the road; the specific lane the vehicle is occupying (the lane number) can be judged using the information of lane lines detected by vision systems; then the distance to the vehicle is obtained by a Road Side Unit (RSU) during the V-I communication; and the longitudinal position is calculated. The error of the approach on typical operating conditions is analyzed, indicating that the new approach can achieve the accuracy of less than 0.31 m for straight road and 0.58 m for typical arc road with ultra-wideband communication and ranging technologies and rational arrangement of RSUs. The feasibility of this approach is presented.     

Approximate optimal AUTOSAR software components deploying approach for automotive E/E system

The AUTOSAR has been developed as the worldwide standard for automotive E/E software systems, making the electronic components of different suppliers to be employed universally. However, as the number of component-based applications in modern automotive embedded systems grows rapidly and the hardware topology becomes increasingly complex, deploying such large number of components in automotive distributed system in manual way is over-dependent on experience of engineers which in turn is time consuming. Furthermore, the resource limitation and scheduling analysis make the problems more complex for developers to find out an approximate optimal deploying approach in system integration. In this paper, we propose a novel method to deploy the AUTOSAR components onto ECUs with the following features. First, a clustering algorithm is designed for deploying components automatically within relatively low time complexity. Second, a fitness function is designed to balance the ECUs load. The goal of our approach is to minimize the communication cost over all the runnable entities while meeting all corresponding timing constraints and balancing all the ECUs load. The experiment results show that our approach is efficient and has well performance by comparing with other existing methods in specific and synthetic data set.     

公路建设中的环境问题探讨

对公路建设环境保护作了比较深入地分析与探讨,总结归纳了公路施工环境保护工作的重点与措施。