Survey on Neuro-Fuzzy systems and their applications in technical diagnostics and measurement

Both fuzzy logic, as the basis of many inference systems, and Neural Networks, as a powerful computational model for classification and estimation, have been used in many application fields since their birth. These two techniques are somewhat supplementary to each other in a way that what one is lacking of the other can provide. This led to the creation of Neuro-Fuzzy systems which utilize fuzzy logic to construct a complex model by extending the capabilities of Artificial Neural Networks. Generally speaking all type of systems that integrate these two techniques can be called Neuro-Fuzzy systems. Key feature of these systems is that they use input–output patterns to adjust the fuzzy sets and rules inside the model. The paper reviews the principles of a Neuro-Fuzzy system and the key methods presented in this field, furthermore provides survey on their applications for technical diagnostics and measurement.     

Real-Time Duplex Applications of Loop-Mediated AMPlification (LAMP) by Assimilating Probes

Isothermal nucleic-acid amplification methods such as Loop-Mediated isothermal AMPlification (LAMP) are increasingly appealing alternatives to PCR for use in portable diagnostic system due to the low cost, weight, and power requirements of the instrumentation. As such, interest in developing new probes and other functionality based on the LAMP reaction has been intense. Here, we report on the development of duplexed LAMP assays for pathogen detection using spectrally unique Assimilating Probes. As proof of principle, we used a reaction for Salmonella enterica as a model coupled with a reaction for λ-phage DNA as an internal control, as well as a duplexed assay to sub-type specific quarantine strains of the bacterial wilt pathogen Ralstonia solanacearum. Detection limits for bacterial DNA analyzed in individual reactions was less than 100 genomic equivalents in all cases, and increased by one to two orders of magnitude when reactions were coupled in duplexed formats. Even so, due to the more robust activity of newly available strand-displacing polymerases, the duplexed assays reported here were more powerful than analogous individual reactions reported only a few years ago, and represent a significant advance for incorporation of internal controls to validate assay results in the field.     

Effect of background fluctuation on velocity diagnostics by Mach probe

The effect of background fluctuation on velocity diagnostics is discussed and studied. The kinetic theory of Mach probe (MP) and the theory of BGK mode are combined to evaluate how the measurement of MP is affected by electrostatics fluctuation. It is found that the quantity of speed by the MP model is closer to the effective velocity in the picture of momentum flux rather than the real mean velocity, while, with high fluctuation, the fitting parameter of MP's exponential formula should be corrected.     

Status and initial experiments of DRAGON-V facility for lithium-lead blanket technologies of hydrogen fusion reactors

A dual-coolant integrated experimental facility named DRAGON-V has been developed at the Institute of Nuclear Energy Safety Technology, Hefei Institute of Physical Science, Chinese Academy of Sciences, for the key technology research and performance evaluation of candidate liquid lithium-lead (PbLi) blanket of hydrogen fusion reactors. The loop is composed of a material test sub-loop and thermal-hydraulic test sub-loop, the design parameters are PbLi inventory 20 tons, PbLi temperature up to 550 °C, the maximum PbLi flow rate up to 40 kg/s. A novel cold trap system is designed to remove the suspended and crystalized impurities in PbLi fluid with three cooling zones and cross row arrangement of rod bundle filter elements. The paper describes the loop itself and its major components, initial loop testing, flow and measurement diagnostics and current experiments. The obtained test results of the loop and its components have demonstrated that the new facility is fully functioning and ready for experimental studies of material corrosion with/without a magnetic field, magnetohydrodynamic (MHD) effect, purification, heat and mass transfer phenomena in PbLi flows and can also be used in mock-up testing in conditions relevant to fusion applications.     

电控柴油机OBD系统监控需求及管理研究

针对电控柴油机诊断和维修较难的问题,采用车载自动诊断(OBD)系统对电控柴油机进行了管理。根据我国最新排放法规,分析了催化转化器效率、氧传感器故障、燃油喷射系统故障以及其他与排放相关部件的监测等电控柴油机OBD系统主要的监测需求;其次,通过对柴油共轨ECU对电路连接故障的监测、子系统可信度监测、故障灯的管理、故障确认的一般流程,及存储管理、OBD系统认证时可模拟的故障等实现过程进行了综合性描述,全面给出了柴油机OBD系统管理过程;最后,在柴油机高压油泵电磁阀上完成了实际的故障诊断试验。研究结果表明,在电控柴油机出现故障时,ECU能够通过OBD系统及时完成检测并对柴油机采取保护措施。     

上海光源全局束流诊断数据仓库开发

上海光源已建成的束流诊断系统可满足光源的日常运行和机器研究需要。但由于缺少有效的事件触发处理机制,无法保存并分析运行期间突发的全局轨道扰动、BPM故障和DCCT噪声等异常现象。为解决以上问题,本文在现有束测系统的基础上开发了基于Soft IOC的全局束流诊断数据仓库。数据仓库通过在线监测加速器和束测系统的运行状况,在发现异常现象时及时发出触发信号并存储相关数据进行分析。运行结果表明,数据仓库能有效检测加速器和束测系统异常,并可用于生成束测设备置信度指标,为进一步优化束测系统和提高光源运行性能提供有效依据。     

Microfluidic devices towards personalized health and wellbeing

To make personalised medicine a reality, there is a significant need for cost-effective methods that enable the rapid selection of optimal nutrient intake and/or disease treatment with a minimum of side effects. In this perspective, we briefly discuss the potential of merging the advances of microfluidic devices, organoid structures and advanced analytical methods to progress towards a personalised in vitro platform for health and wellbeing. © 2019 Society of Chemical Industry     

Identifying parametric controls and dependencies in integrated assessment models using global sensitivity analysis

Integrated assessment models for climate change (IAMs) couple representations of economic and natural systems to identify and evaluate strategies for managing the effects of global climate change. In this study we subject three policy scenarios from the globally-aggregated Dynamic Integrated model of Climate and the Economy IAM to a comprehensive global sensitivity analysis using Sobol' variance decomposition. We focus on cost metrics representing diversions of economic resources from global world production. Our study illustrates how the sensitivity ranking of model parameters differs for alternative cost metrics, over time, and for different emission control strategies. This study contributes a comprehensive illustration of the negative consequences associated with using a priori expert elicitations to reduce the set of parameters analyzed in IAM uncertainty analysis. The results also provide a strong argument for conducting comprehensive model diagnostics for IAMs that explicitly account for the parameter interactions between the coupled natural and economic system components.