一种整体式天然气压缩机气阀故障诊断技术研究CSCD

整体式天然气压缩机在石油化工领域广泛应用,压缩机的正常工作对安全生产具有重要意义。为了有效诊断整体式压缩机气阀部件的故障,采用了Daubechies小波基函数对ZTY470型整体式天然气压缩机气阀振动信号的分解重构原理,详细介绍了以振动信号的能量为故障特征的故障诊断过程。对气阀阀片断裂和弹簧断裂的故障振动信号进行了小波包分析,并与正常工作时的信号进行了对比。实验表明该方法能准确的进行故障诊断和故障定位,证明了对整体式天然气压缩机气阀故障诊断的有效性。     

数值模拟方法对NASA CRM模型阻力预测的影响

在复杂工程外形的数值模拟中，网格类型、规模和分布、湍流模型、数值格式等都会不同程度影响模拟结果。如何评估这些模拟方法对模拟结果的影响，并识别对模拟结果影响较显著的因素，对于CFD的发展方向有积极的借鉴指导意义。为了综合研究不同因素对商用运输机外形阻力预测的影响，以AIAA第六届阻力预测会议外形NASA CRM为研究对象，同时考虑了网格、湍流模型、无黏通量格式和体心梯度求解方法等因素对阻力预测的影响。分析中采用枚举法和正交试验设计两种方法，并使用了基于聚类分析的定性敏感性分析方法和基于Mckay主影响分析的定量方法，识别出对阻力预测影响较大的因素，这为数值模拟方法的发展指明了方向。     

绳索断裂对二维二次太阳翼展开过程影响分析

为识别二维二次太阳翼关键环节和预示其在轨展开故障模式，开展不同位置绳索断裂失效对太阳翼展开的影响程度分析。采用考虑绳索断裂的绳索联动轮力学模型，建立了适应于不同联动轮半径的联动轮受力模型，提出角度触发约束消除方法，解决了太阳翼第2次展开过程连续仿真问题，建立了太阳翼第2次展开动力学方程，分析了不同位置绳索断裂失效对太阳翼各板展开角度、展开构型和其他绳索张力的影响。分析表明，越靠近星体的绳索联动机构失效对太阳翼展开过程的影响越大，其中连接架上绳索联动机构失效可直接导致二维二次太阳翼在轨展开失败。     

甲醇超临界水完全气化制氢系统的火用分析

基于热力学火用平衡方程所揭示的实际用能过程和理想用能过程,通过引入"偏离值"、"偏离度"两个指标,对甲醇超临界水制氢系统进行了火用分析。首先确定了加热和反应环节为重点优化环节;然后研究了此二环节的"偏离度"分别随压力、温度的变化规律,并比较了压力和温度对"偏离度"的影响作用大小。在提高甲醇制氢系统的能质利用率方面进行了有益的探讨,其结论对制氢系统的节能工作具有一定的参考价值。     

Investigating gamma-ray burst data reduction techniques with Swift’s instruments

The amount of data on gamma-ray bursts (GRBs) and the detected afterglows observed by the Swift satellite contributed significantly to the understanding of the phenomenon. The behavior of the early afterglow rises some interesting questions. With the early afterglow localizations of gamma-ray burst positions made by Swift, the clear delimitation of the prompt phase and the afterglow is not so obvious any more. There are hints of a canonical X-ray afterglow lightcurve with segments of different slopes. Not all bursts necessarily show all the segments. It is important to see if the prompt phase and the afterglow has the same origin or they stem from different parts of the progenitor system. We will combine the of gamma-ray burst data from BAT and XRT and compare the extrapolated gamma-ray flux to the X-ray in a sample of bursts and find that there is a good agreement between the two measurements. This indicates that the physical process shaping burst and the early afterglow are the same.     

一例自动驾驶仪系统四通道操纵台故障的分析与排除

针对某型直升机自动驾驶仪系统的舵机驱动部件四通道操纵台出现的故障，通过分析其工作原理，利用逐项筛除法和信号流程分析法，搭接测试电路和外加模拟激励，逐步缩小故障范围，最终将故障定位到具体元件，成功排除故障。     

Evaluation and improvement of coastal GNSS reflectometry sea level variations from existing GNSS stations in Taiwan

Global sea level rise due to an increasingly warmer climate has begun to induce hazards, adversely affecting the lives and properties of people residing in low-lying coastal regions and islands. Therefore, it is important to monitor and understand variations in coastal sea level covering offshore regions. Signal-to-noise ratio (SNR) data of Global Navigation Satellite System (GNSS) have been successfully used to robustly derive sea level heights (SLHs). In Taiwan, there are a number of continuously operating GNSS stations, not originally installed for sea level monitoring. They were established in harbors or near coastal regions for monitoring land motion. This study utilizes existing SNR data from three GNSS stations (Kaohsiung, Suao, and TaiCOAST) in Taiwan to compute SLHs with two methods, namely, Lomb–Scargle Periodogram (LSP)-only, and LSP aided with tidal harmonic analysis developed in this study. The results of both methods are compared with co-located or nearby tide gauge records. Due to the poor quality of SNR data, the worst accuracy of SLHs derived from traditional LSP-only method exceeds 1?m at the TaiCOAST station. With our procedure, the standard deviations (STDs) of difference between GNSS-derived SLHs and tide gauge records in Kaohsiung and Suao stations decreased to 10?cm and the results show excellent agreement with tide gauge derived relative sea level records, with STD of differences of 7?cm and correlation coefficient of 0.96. In addition, the absolute GNSS-R sea level trend in Kaohsiung during 2006–2011 agrees well with that derived from satellite altimetry. We conclude that the coastal GNSS stations in Taiwan have the potential of monitoring absolute coastal sea level change accurately when our proposed methodology is used.     

Wrinkling analysis for small solar-photon sails: An experimental and analytic approach for trajectory design

A good model of solar-radiation pressure induced thrust is one of the key points in sailcraft trajectory design. The sail membrane’s local topographic deformations, i.e. wrinkles and creases, are among the main aspects that such a model should include. We have analyzed the influence of wrinkles/creases, as a whole, by measuring the related deformations on small samples of sail membrane, 2.5?μm thick, consisting of CP1 and physical-vapor-deposition Aluminum. Experimental outcomes from our laboratory facility have been processed, statistically investigated, and inserted into the lightness vector formalism. We have used such formalism for accurate sailcraft trajectory computation via a non-ideal reflection sail thrust model. Finally, we computed the deviations of wrinkled-sail sailcraft final orbital states with respect to the no-wrinkle sail final orbital ones for a circular to circular 2D inward transfer. The radii of the orbits are 1?AU and the semi-major axis of Mercury, respectively. It appears that sail wrinkles and creases are no longer negligible in the sailcraft trajectory design.     

微分法在定位误差分析与计算中的应用

介绍了微分法分析计算定位误差的原理和适用范围,通过生产实例分析,证明了该方法在解决多误差因素定位误差分析与计算中的简便与快捷,从而有效简化了复杂定位方案定位误差的分析与计算,提高了夹具的设计效率。     

Multi-mode diagnosis of a gas turbine engine using an adaptive neuro-fuzzy system

Gas Turbine Engines (GTEs) are vastly used for generation of mechanical power in a wide range of applications from airplane propulsion systems to stationary power plants. The gas-path components of a GTE are exposed to harsh operating and ambient conditions, leading to several degradation mechanisms. Because GTE components are mostly inaccessible for direct measurements and their degradation levels must be inferred from the measurements of accessible parameters, it is a challenge to acquire reliable information on the degradation conditions of the parts in different fault modes. In this work, a data-driven fault detection and degradation estimation scheme is developed for GTE diagnostics based on an Adaptive Neuro-Fuzzy Inference System (ANFIS). To verify the performance and accuracy of the developed diagnostic framework on GTE data, an ensemble of measurable gas path parameters has been generated by a high-fidelity GTE model under (a) diverse ambient conditions and control settings, (b) every possible combination of degradation symptoms, and (c) a broad range of signal to noise ratios. The results prove the competency of the developed framework in fault diagnostics and reveal the sensitivity of diagnostic results to measurement noise for different degradation symptoms.