Semi-supervised gear fault diagnosis using raw vibration signal based on deep learning

In aerospace industry, gears are the most common parts of a mechanical transmission system. Gear pitting faults could cause the transmission system to crash and give rise to safety disaster. It is always a challenging problem to diagnose the gear pitting condition directly through the raw signal of vibration. In this paper, a novel method named augmented deep sparse autoencoder (ADSAE) is proposed. The method can be used to diagnose the gear pitting fault with relatively few raw vibration signal data. This method is mainly based on the theory of pitting fault diagnosis and creatively combines with both data augmentation ideology and the deep sparse autoencoder algorithm for the fault diagnosis of gear wear. The effectiveness of the proposed method is validated by experiments of six types of gear pitting conditions. The results show that the ADSAE method can effectively increase the network generalization ability and robustness with very high accuracy. This method can effectively diagnose different gear pitting conditions and show the obvious trend according to the severity of gear wear faults. The results obtained by the ADSAE method proposed in this paper are compared with those obtained by other common deep learning methods. This paper provides an important insight into the field of gear fault diagnosis based on deep learning and has a potential practical application value.     

涡旋真空泵的密封设计

涡旋真空泵在工作过程中动、静涡盘之间间隙存在泄漏损失,它是影响涡旋真空泵工作性能的重要因素;总结了涡旋真空泵的工作原理;介绍了涡旋真空泵的密封设计与选择、间隙的确定。从材料和结构两方面阐述了密封的几种结构形式,说明了各自的工作原理,及需要注意的问题,阐明这些问题是影响泵性能指标的重要因素。     

基于ArcGIS的燃气管网水力计算的设计与实现

为利用ArcGIS软件管理燃气管网数据,以特殊方式直接读取ArcMap的燃气管网图形数据,并完成整个管网的水力计算。算法不受管网的规模和结构的限制,以DLL的方式封装了数据的存取和计算功能,作为核心模块集成到基于ArcGIS Object的GIS平台。     

应用LQG方法在生产—库存管理系统中的应用研究

给出线性二次型最优输出跟踪问题的系统方程和目标函数,对目标函数中每一项的实际意义做出分析,并讨论了加权矩阵中元素的选取。给出控制规律的最优解,并对最优控制与预期输出的关系做出分析。给出一个生产—库存管理模型,分析了该模型应满足的状态方程,从而说明了它是一个可观测系统,且可以用线性二次型最优输出跟踪问题来解决。最后用具体实例验证了方法的有效性。     

电场均匀化对 2091Al-Li 合金的显微组织及力学性能的影响

 应用扫描电镜（SEM）及电子探针（EPMA）研究了强电场作用下Al-Li合金的均匀化过程。实验结果表明，强电场加速了2091Al-Li合金的均匀化过程，但是随着电场作用时间的增加，发生了镁、铜原子的上坡扩散，导致镁、铜原子的非平衡偏聚。因此，电场及非电场的联合处理方法是一个有效的均匀化处理制度。同时，还研究了强电场均匀化对显微组织及力学性能的影响，发现强电场均匀化促进T1相的形核，抑制δ‘和S’相析出，提高了Al-Li合金的屈强比。     

不同接触形式下轮盘叶片系统的振动响应分析

以某压气机盘片系统为研究对象,基于ANSYS软件,建立了接触模型、接触不分离模型和刚性连接模型3种榫连结构接触约束形式下的盘片有限元模型,分别对3种模型进行了固有特性的分析,对比了三者的共振频率和振型;在离心力和气流激振力作用下,对3种模型进行了振动响应分析,得到三者的位移响应和应力随转速的变化规律。研究结果表明:接触模型和接触不分离模型的固有特性一致性较好,而刚性连接模型和接触模型在高频段存在较大差异。同时,刚性连接模型和接触不分离模型能够极大地改善接触模型在低转速下的收敛性。     

Optimal target grasping of a flexible space manipulator for a class of objectives

Space graspers are complex systems, composed by robotic arms placed on an orbiting platform. In order to fulfil the manoeuvres’ requirements, it is necessary to properly model all the forces acting on the space robot. A fully nonlinear model is used to describe the dynamics, based on a multibody approach. The model includes the orbital motion, the gravity gradient, the aerodynamic effects, as well as the flexibility of the links. The present paper aims to design, thanks to nonlinear optimization algorithms, a class of manoeuvres that, given the same target to be grasped, are characterized by different mission objectives. The grasping mission can be performed with the objective to minimize the power consumption. Collision avoidance constraints can be also added when the target is equipped with solar panels or other appendices. In some cases, large elastic displacements should be expected, possibly leading to an inaccurate positioning of the end-effector. Therefore, different design strategies can require that the manoeuvre is accomplished with minimum vibrations’ amplitude at the end-effector. Performance of the different strategies is analyzed in terms of control effort, trajectory errors, and flexible response of the manipulator.     

秦皇岛古代旅游诗歌整理及其对旅游的作用

秦皇岛作为历史悠久的旅游城市,拥有着大量的古代旅游诗歌,这些旅游诗歌对于传播秦皇岛的历史文化,推动旅游事业的发展起到了很大的作用。本文拟就秦皇岛古代的旅游诗歌整理分析及其在旅游中的作用三个方面展开论述。     

Adaptive and robust algorithms and tests for visual-based navigation of a space robotic manipulator

Optical navigation for guidance and control of robotic systems is a well-established technique from both theoretic and practical points of view. According to the positioning of the camera, the problem can be approached in two ways: the first one, “hand-in-eye”, deals with a fixed camera, external to the robot, which allows to determine the position of the target object to be reached. The second one, “eye-in-hand”, consists in a camera accommodated on the end-effector of the manipulator. Here, the target object position is not determined in an absolute reference frame, but with respect to the image plane of the mobile camera. In this paper, the algorithms and the test campaign applied to the case of the planar multibody manipulator developed in the Guidance and Navigation Lab at the University of Rome La Sapienza are reported with respect to the eye-in-hand case. In fact, being the space environment the target application for this research activity, it is quite difficult to imagine a fixed, non-floating camera in the case of an orbital grasping maneuver. The classic approach of Image Base Visual Servoing considers the evaluation of the control actions directly on the basis of the error between the current image of a feature and the image of the same feature in a final desired configuration. Both simulation and experimental tests show that such a classic approach can fail when navigation errors and actuation delays are included. Moreover, changing light conditions or the presence of unexpected obstacles can lead to a camera failure in target acquisition. In order to overcome these two problems, a Modified Image Based Visual Servoing algorithm and an Extended Kalman Filtering for feature position estimation are developed and applied. In particular, the filtering shows a quite good performance if target's depth information is supplied. A simple procedure for estimating initial target depth is therefore developed and tested. As a result of the application of all the novel approaches proposed, the experimental test campaign shows a remarkable increase in the robustness of the guidance, navigation and control systems.     

A nonlinear background removal method for seismo-ionospheric anomaly analysis under a complex solar activity scenario: A case study of the M9.0 Tohoku earthquake

A precise determination of ionospheric total electron content (TEC) anomaly variations that are likely associated with large earthquakes as observed by global positioning system (GPS) requires the elimination of the ionospheric effect from irregular solar electromagnetic radiation. In particular, revealing the seismo-ionospheric anomalies when earthquakes occurred during periods of high solar activity is of utmost importance. To overcome this constraint, a multiresolution time series processing technique based on wavelet transform applicable to global ionosphere map (GIM) TEC data was used to remove the nonlinear effect from solar radiation for the earthquake that struck Tohoku, Japan, on 11 March, 2011. As a result, it was found that the extracted TEC have a good correlation with the measured solar extreme ultraviolet flux in 26–34 nm (EUV_26–34) and the 10.7 cm solar radio flux (F_10.7). After removing the influence of solar radiation origin in GIM TEC, the analysis results show that the TEC around the forthcoming epicenter and its conjugate were significantly enhanced in the afternoon period of 8 March 2011, 3 days before the earthquake. The spatial distributions of the TEC anomalous and extreme enhancements indicate that the earthquake preparation process had brought with a TEC anomaly area of size approximately 1650 and 5700 km in the latitudinal and longitudinal directions, respectively.