Thermodynamic evaluation of Cu– system based on newly determined Gibbs energy of formation of

Thermodynamic evaluation of Cu–Cu₃P system has been conducted by applying subregular solution model with Gibbs energy of Cu₃P formation that was newly determined by means of triple Knudsen cell mass spectrometry. Both the calculated vapor pressure of phosphorus and phase diagram of Cu–P system are excellently consistent with the literature data in the composition range of Cu–Cu₃P, indicating that there is no significant thermodynamic inconsistency between the present work based on the Gibbs energy of Cu₃P formation determined and the literature data.     

Near optimal interval observers bundle for uncertain bioreactors

In this paper we design an interval observer for the estimation of unmeasured variables of uncertain bioreactors. The observer is based on a bounded error observer, as proposed in [Lemesle, V., & Gouzé, J.-L. (2005). Hybrid bounded error observers for uncertain bioreactor models. Bioprocess and Biosystems Engineering, 27, 311-318], that makes use of a loose approximation of the bacterial kinetics. We first show how to generate guaranteed upper and lower bounds on the state, provided that known intervals for the initial condition and the uncertainties are available. These so-called framers depend on a tuning gain. They can be run in parallel and the envelope provides the best estimate. An optimality criterion is introduced leading to the definition of an optimal observer. We show that this criterion provides directly a gain set containing the best framers. The method is applied to the estimation of the total biomass of an industrial wastewater treatment plant, demonstrating its efficiency.     

Development of an ozone gas sensor using single-walled carbon nanotubes

This study deals with the fabrication of an ozone gas sensor using single-walled carbon nanotubes (SWCNTs) as sensing material. The SWCNTs are dispersed by N,N-dimethylformamide (DMF). The CNT-DMF solution was dropped between interdigitated electrodes’ fingers to fabricate ozone gas sensor. For ozone environment, a commercial ozone generator was introduced. To improve sensor response, the deposited carbon nanotubes network was thermally treated at high temperature in a furnace. The sensor exhibits high sensitivity to ozone gas at concentration as low as 50 ppb, and fast response time, which is promising for future commercialization of carbon nanotubes based ozone gas sensor.     

航空机载软件缺陷分类方法研究及应用

分析现有软件缺陷分类方法,针对现有缺陷分类方法不能完全适用于航空机载软件缺陷管理的问题,结合机载软件研制阶段和特点,以现有软件缺陷分类方法为基础,综合考虑缺陷度量分析的要求,提出一种符合航空机载软件研制特点的缺陷分类方法,并给出了“缺陷类别”详细的分类.将其应用于实际软件研制过程中,应用结果表明,该方法满足机载软件缺陷分类原则.     

基于光纤温度传感器的分布式温度测量系统设计

为实现航空武器装备维护保障中环境温度监测的精细化管理,设计了一种基于光纤温度传感器(FOTS,fiber optic temperature sensor)的分布式温度测量系统.首先利用光纤温度传感器的特点,对分布式温度测量系统进行了总体设计;其次研究开发了其硬件与软件,实现了系统的层次化设计,然后结合C/S网络通信模式实现了系统的网络化管理;最后对分布式温度测量系统进行了功能和性能测试.经系统测试验证表明,该系统可以实现航空武器装备维护保障中环境温度的精细化管理,具有高可靠性、易于扩展、远程访问,测量精度高,且系统的温度测量误差小,并将温度误差控制在1％以内.     

面向污水处理的动态变分贝叶斯混合因子故障诊断

在污水生化处理过程中,存在着多变量耦合、强非线性、参数时变、大滞后等特点,面对这些特点,传感器故障频发,从而导致生化过程无法得到有效优化和诊断.为此,本文在结合动态数据特性的基础上提出了一种基于变分贝叶斯混合因子的动态故障诊断方法,同时,利用混合因子的在线调整实现了诊断模型的半自适应化.该方法能够捕捉到污水处理过程的强非线性和动态性,从而可有效降低故障诊断的误报率和漏报率.通过在国际水协会的BSM1模型上的模拟研究,充分表明所提出的策略可以显著提高故障诊断能力,精确地检测传感器的突变和漂移故障,甚至定位故障所发生的根本原因.     

基于传感器数据的配电网设备能效评估

在深入分析配电网设备上加装的各类传感器装置中数据获取情况的基础之上,综合考虑设备的能效影响因素,构建了基于传感器数据的配电网设备能效评估指标体系。根据每个指标在节能潜力、成本和难度方面对配电网设备能效的影响程度不同,构建了递阶层次结构模型,并采用层次分析法（ AHP）进行指标权值计算。根据定量指标易于量化的特征,构建了对标函数,完成了定量指标能效指数的计算。从而实现对配电网设备的能效评估。并以某实际的配电变压器算例验证了所提方法的实用性和有效性。     

Thermal and cardiovascular strain imposed by motorcycle protective clothing under Australian summer conditions

Motorcycle protective clothing can be uncomfortably hot during summer, and this experiment was designed to evaluate the physiological significance of that burden. Twelve males participated in four, 90-min trials (cycling 30 W) across three environments (25, 30, 35 °C [all 40% relative humidity]). Clothing was modified between full and minimal injury protection. Both ensembles were tested at 25 °C, with only the more protective ensemble investigated at 30 and 35 °C. At 35 °C, auditory canal temperature rose at 0.02 °C min^?1 (SD 0.005), deviating from all other trials (p < 0.05). The thresholds for moderate (>38.5 °C) and profound hyperthermia (>40.0 °C) were predicted to occur within 105 min (SD 20.6) and 180 min (SD 33.0), respectively. Profound hyperthermia might eventuate in ~10 h at 30 °C, but should not occur at 25 °C. These outcomes demonstrate a need to enhance the heat dissipation capabilities of motorcycle clothing designed for summer use in hot climates, but without compromising impact protection.

Practitioner’s Summary:

Motorcycle protective clothing can be uncomfortably hot during summer. This experiment was designed to evaluate the physiological significance of this burden across climatic states. In the heat, moderate (>38.5 °C) and profound hyperthermia (>40.0 °C) were predicted to occur within 105 and 180 min, respectively.     

The discrete collocation method for Fredholm–Hammerstein integral equations based on moving least squares method

The purpose of this paper is to investigate the discrete collocation method based on moving least squares (MLS) approximation for Fredholm–Hammerstein integral equations. The scheme utilizes the shape functions of the MLS approximation constructed on scattered points as a basis in the discrete collocation method. The proposed method is meshless, since it does not require any background mesh or domain elements. Error analysis of this method is also investigated. Some numerical examples are provided to illustrate the accuracy and computational efficiency of the method.     

基于BP和RBF神经网络的军事装备维修保障点选址问题研究

针对军事装备维修保障点选址问题,分别提出了基于BP和RBF神经网络的选址研究方法,构建了神经网络模型,设计了相应的算法步骤,并结合实际算例进行了具体分析;最后针对两种神经网络的不同适用情况进行了对比研究。