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.     

Fast Ferry Smoothing Motion via Intelligent PD Controller

A novel type of control law was adopted to reduce the vertical acceleration of a fast ferry as well as the motion sickness incidence suffered by the passengers onboard by means of a submerged T-foil. Considering the system changing characteristics under high disturbances, a model-free approach was adopted. In addition, an upgraded proportional-derivative (PD) controller with correction terms resulting from a fast-online estimation of the system dynamics was designed. The overall controller, known as intelligent PD (i-PD) controller, was tested, and the obtained results were compared with those of a classic PD controller. The controllers were also tested in a changing environment and at different operating velocities. The results confirmed the effectiveness of the i-PD controller to smooth the motions with low computational cost control schemes. Furthermore, thanks to ability of the i-PD controller to continually update the estimated dynamics of the system, it showed a better reduction in both vertical motions and the seasickness level of the passengers with the needed robustness under external disturbances and system changing parameters.     

致知力行 继往开来 推进我国水上搜救能力高质量发展

2019年11月8日,国务院办公厅发布了《关于加强水上搜救工作的通知》(以下简称《通知》)。《通知》一方面重申了国家对水上搜救工作的有关法律和规定,另一方面明确了目前和今后一定的历史时期内,水上搜救工作在现有的基础上高质量发展应该达到的奋斗目标、解决的重点问题和应该采取的具体措施。全面理解和认真执行《通知》提出的各项要求,对破解我国水上搜救工作中的突出问题,科学统筹搜救工作推进情况,稳步增强水上搜救整体能力具有十分重大的意义。本文在回顾我国水上搜救现状的基础上,对如何实现《通知》提出的有关内容进行探讨。     

柴油机增压器包覆层隔声性能试验分析及优化设计

提出一种船用增压器的包覆层结构,其内层为绝热材料和吸声材料,外层为金属薄片。采用统计能量法(SEA)建立该结构的中高频段隔声数值模型,开展包覆层的隔声试验,隔声量实测值与仿真结果吻合较好,能验证数值建模的有效性。对包覆层的吸声材料的厚度、密度和流阻等参数进行优化设计,利用正交试验法设计数值试验组,采用极差和方差分析法分析影响材料隔声性能的关键因素,得出最重要的影响因素是材料厚度,在选型设计中还应考虑密度和流阻因素。当安装厚度受限时,可通过改变密度和流阻值来提高材料的隔声量。     

小管径垂直管水下排气完全携带点实验及分析

船用柴油机采用水下排气方式具有降低排气噪声、改善舱外空气质量等优点,在大型豪华游轮等特殊船舶中具有广泛应用前景。为防止海水由排气管倒灌入柴油机造成事故,需弄清水下排气管内水倒流发生的条件。对大管径垂直管防止水倒灌临界条件即完全携带点的已有认识较为统一,而对小管径垂直管仍未有清晰的认识。在管径25~100 mm范围对垂直管的完全携带点进行了实验,探究了小管径垂直管的完全携带点预报方法。实验结果表明在小管径范围,垂直管完全携带点对应的临界表观气速随管径增大而升高,但气相Wallis数随管径增大而减小,说明Wallis数过度关联了管径对临界表观气速的影响。基于气相Kutateladze数和无量纲气相黏性,对小管径垂直管提出了新的完全携带点预报模型和相应实验关联式。     

水位升降对库坡渗流场及稳定性影响

依托某库区边坡工程,通过现场水文地质勘察、室内试验,掌握库岸边坡岩土工程性质,结合干湿循环试验、理论分析及数值仿真软件,研究该工程蓄水期及运营后水位动态升降变化下的库岸边坡稳定性。结果表明:在高水位时,地下水浸润线呈凹形,低水位时则为凸形。库区水位在正常蓄水位30 m、最高蓄水位36 m之间可视为安全水位范围。本研究可为此库区边坡防护与库区水位调度方案提供参考。     

基于Cognex视觉的机器人自动搬运控制

针对企业原有生产圆盘类连接轴的工艺,设计了基于Cognex视觉的机器人自动搬运系统,将S7-300 PLC、Cognex视觉系统和FANUC机器人系统集成在一起,实现了1台机器人同时为铣床和车床2个加工系统自动上下料;通过Profibus总线和Ethernet通讯将PLC技术、视觉技术与工业机器人结合起来,发挥了工业以太网传输速度快、信号稳定的优势,提高了机器人的柔性取料能力;目前已应用在企业当中,提高了企业的自动化程度及生产效率,降低了企业的用工支出。     

免烘干密封胶在汽车涂装线的应用

文章详细阐述了一种免烘干的硅烷改性聚合物密封胶的产品特性、技术条件,并结合某汽车生产线应用实例,总结了该密封胶的施工条件、注胶设备及与高温密封胶的比较等。     

深圳地铁永磁同步牵引系统研究分析

牵引传动系统是轨道交通车辆装备实现机电能量转换的“心脏”单元,其性能在某种程度上决定轨道交通车辆的动力品质、能耗和控制特性,是轨道交通车辆节能升级的关键系统。而永磁同步牵引系统以其高效率、高可靠性和低能耗的优势特点,受到轨道交通行业的密切关注。文章阐述深圳地铁10号线永磁同步牵引系统批量装车概况,重点分析永磁同步牵引系统组成及优势,指出推广应用永磁同步牵引系统的经济和社会效益显著。