Maximum cross-correlated kurtosis-based unsaturated stochastic resonance and its application to bearing fault diagnosis

Considering the random impulses of mechanical noise and the limitations involved while identifying mechanical fault impulse signals via traditional measurement indices of signal-to-noise ratio, which require the characteristic frequency to be known in advance, this study proposes an adaptive unsaturated stochastic resonance method employing maximum cross-correlated kurtosis as the signal detection index. The proposed method combines the features of a cross-correlated coefficient to indicate periodic fault transients and those of spectrum kurtosis to locate these transients in the frequency domain. Actual vibration signals collected from motor and gear bearings subjected to heavy noise are used to demonstrate the effectiveness of the proposed method. Through a coarse tree-based machine learning method, the proposed method is verified to be more suitable for explaining the periodic impulse components of bearing signals, as compared to the ensemble empirical mode decomposition denoising method and unsaturated stochastic resonance using the kurtosis-intercorrelation index.     

An improved approach for frequency-domain nonlinear identification through feedback of the outputs by using separation strategy

Nonlinear Dynamics - This paper focuses on the problem of nonlinear system identification by proposing an improved approach for existing frequency-domain nonlinear identification through feedback...     

Characterization of Lignin Compounds at the Molecular Level: Mass Spectrometry Analysis and Raw Data Processing

Lignin is the second most abundant natural biopolymer, which is a potential alternative to conventional fossil fuels. It is also a promising material for the recovery of valuable chemicals such as aromatic compounds as well as an important biomarker for terrestrial organic matter. Lignin is currently produced in large quantities as a by-product of chemical pulping and cellulosic ethanol processes. Consequently, analytical methods are required to assess the content of valuable chemicals contained in these complex lignin wastes. This review is devoted to the application of mass spectrometry, including data analysis strategies, for the elemental and structural elucidation of lignin products. We describe and critically evaluate how these methods have contributed to progress and trends in the utilization of lignin in chemical synthesis, materials, energy, and geochemistry.     

Ni、Mo共掺杂对SnO2材料性能影响的仿真研究

针对AgSnO₂触头材料存在的不足,采用基于密度泛函理论的第一性原理对SnO₂、Ni单掺杂、Mo单掺杂以及Ni-Mo共掺杂SnO₂材料进行了电性能与力学性质的研究,计算了各体系的形成能、能带结构、态密度、弹性常数等各项参数。结果表明,掺杂后的材料可以稳定存在,且仍为直接带隙半导体材料。与未掺杂相比,掺杂后体系的能带结构带隙值减少,其中Ni-Mo共掺杂时的带隙值最小,载流子跃迁所需能量减少,极大地改善了SnO₂的电性能;由弹性常数计算了剪切模量、体积模量、硬度等参数,其中Ni-Mo共掺杂时的硬度大幅降低,韧性增强,有利于AgSnO₂触头材料后续加工成型,且其普适弹性各向异性指数最小,不易形成裂纹。综合各项因素,Ni-Mo共掺杂能够很好地改善SnO₂的性能,为触头材料的发展提供了理论指导。     

Strategies for Improving the Catalytic Performance of 2D Covalent Organic Frameworks for Hydrogen Evolution and Oxygen Evolution Reactions

Hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) have been deemed as clean and sustainable strategies to solve the energy crisis and environmental problems. Various catalysts have been developed to promote the process of HER and OER. Among them, two-dimensional covalent organic frameworks (2D COFs) have received great attention due to their diverse and designable structure. In this minireview, we mainly summarize the diverse linkages of 2D COFs and strategies for enhancing the catalytic performance of 2D COFs for HER and OER, such as introducing active building blocks, metal ions and tailored linkages. Furthermore, a brief outlook for the development directions of COFs in the field of HER and OER is provided, expecting to stimulate new opportunities in future research.     

Effect of various surfactants on stability and thermophysical properties of nanofluids

Journal of Thermal Analysis and Calorimetry - The effect of Fe3O4 nanoparticles and carbon nanotubes (CNTs) on the viscosity of a nanofluid is experimentally investigated from 278 to 313 K...     

Large-area hydrated vanadium oxide/carbon nanotube composite films for high-performance aqueous zinc-ion batteries

Science China Chemistry - Synchronously reducing/self-assembling strategy on Zn substrate was designed to fabricate large-area cation-doped hydrated V2O5/multi-walled carbon nanotube (D-HVO/MWCNT)...     

动脉粥样硬化光学成像探针研究进展

心血管疾病(Cardiovascular disease, CVD)是全球疾病致死的主要原因之一. 动脉粥样硬化(Atherosclerosis, AS)是引发各种CVD的首要危险因素, 其发生发展通常经历持续的慢性炎症过程. 因此, 及时高效地检测AS, 对于早期评估、 诊断和治疗CVD具有重要临床意义. 光学探针成像拥有极高的灵敏度和空间分辨率以及超快的信号采集处理速度, 被广泛应用于生物医学检测与成像. 本文综合评述了6种常见用于AS成像的光学探针, 涉及小分子荧光探针、 聚集诱导发光(Aggregate-induced emission, AIE)纳米探针、 量子点探针、 上转换纳米探针、 光声探针和多模态探针等; 并对各种探针的优缺点进行了分析比较. 在此基础上, 展望了光学探针在AS成像领域的发展前景, 并提出了相应建议.     

Novel hydrostable Z-scheme Ag/CsPbBr3/Bi2WO6 photocatalyst for effective degradation of Rhodamine B in aqueous solution

In this study, a hydrostable Z-scheme Ag/CsPbBr₃/Bi₂WO₆ photocatalyst was designed and fabricated for the degradation of Rhodamine B (RhB). The structural instability of CsPbX₃ perovskites in water is one of the main obstacles that restrict their practical application in photocatalytic wastewater treatment. The photocatalyst was prepared in three steps: passivation of CsPbBr₃ nanocrystals (NCs) with 3-mercaptopropionic acid (MPA), construction of a heterojunction between MPA-passivated CsPbBr₃ NCs and Bi₂WO₆ ultrathin nanosheets, and doping Ag nanoparticles as charge mediators in the heterojunction. The as-obtained 5%Ag/20%CsPbBr₃/Bi₂WO₆ exhibits good stability and excellent photocatalytic activity. The degradation rate is 93.9% in 120 min, which is 4.41 times than that of Bi₂WO₆.