Zhenhua Zhou

Nanfang Hospital

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Qin Xin

Chinese Academy of Sciences

Ji Yang

Shanghai Institute of Pollution Control and Ecological Security

Limei Cao

East China University of Science and Technology

Wei Sun

Peking University

Gongquan Sun

Dalian Institute of Chemical Physics

Waqas Qamar Zaman

National University of Sciences and Technology

Luhua Jiang

Qingdao University of Science and Technology

Muhammad Tariq

National Institute for Biotechnology and Genetic Engineering

Weijiang Zhou

Stanford University

Gongquan Sun

Dalian National Laboratory for Clean Energy

Cooperative Institutions

Chinese Academy of Sciences

Dalian Institute of Chemical Physics

University of Science and Technology of China

East China University of Science and Technology

Shanghai Jiao Tong University

Southern Medical University

Sun Yat-sen University

University of Chinese Academy of Sciences

Dalian University of Technology

Nanfang Hospital

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Optimization and Simulation of Minimum-cost-based Maintenance for Train Control Equipment

Railway Standard Design (2012)

Zhenhua Zhou

Reasonable optimization of maintenance schedule of railway train control equipment can reduce some of the problems in the maintenance process,improve equipment reliability,and then improve the safety as well as the transport efficiency in the train control system.First,taking the minimum cost as the objective function with the availability and fault risk as the constraint condition,this paper establishes the minimum cost model,and then puts forward the flow path of heuristic algorithm for optimization of maintenance schedule.Secondly,the adjustment scheme of train control equipment maintenance schedule is proposed based on reliability analysis in combination with the case studying on the survey data of an actual railway station.Finally,based on the model and the solving method by using Monte Carlo simulation,the optimum scheme of maintenance schedule is obtained by which a balance between the maintenance effectiveness and maintenance investment can be achieved,so the validity and practicality of the optimization model are verified.

Planned maintenance

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Simulation Study on Dynamic Characteristics of the Anti-jamming Hydraulic Thrust System of Down-the-hole Drill with Low Energy

Zhenhua Zhou

Based on the analysis of the hydraulic thrust system of down-the-hole drill,a mathematic model was built by applying power bond graph and a simulation model was established by using SIMULINK.The dynamic response results of the system are accurate for some non-linear facts were considered.

Bond graph

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Ni–Co Codoped RuO₂ with Outstanding Oxygen Evolution Reaction Performance

ACS Applied Energy Materials (2019)

Yiyi Wu Muhammad Tariq Waqas Qamar Zaman Wei Sun Zhenhua Zhou

Synthesizing oxygen evolution reaction (OER) catalysts with high activity by codoping has been proven to be feasible for effectively using noble metals via renewing their basic properties. Here, we prepare two series of Ru based codoped catalysts NixCoyRu1–x–yO2 with outstanding OER activity compared with RuO2, one of the state-of-the-art OER catalysts. The molar ratio of case dopants, nickel and cobalt, is regulated from 1:1 to 1:1.5 for the host structure RuO2 as the main variable. The synthesized codoped RuO2 with Co/Ni of 1.5 reflected a Tafel slope of only 32 mV dec–1, which is appreciably lower than the 64 mV dec–1 for pure RuO2. The performed X-ray photoelectron spectroscopy (XPS) indicated that the key factor of OER activity for codoped catalysts with different dopant ratio is the oxygen vacancy.

Oxygen evolution

Molar ratio

Noble metal

10.1021/acsaem.9b00266

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Citations (65)

Improvement of direct methanol fuel cell performance by modifying catalyst coated membrane structure

Electrochemistry Communications (2005)

Suli Wang Gongquan Sun Guoxiong Wang Zhenhua Zhou Xinsheng Zhao

Membrane electrode assembly

Nafion

Methanol fuel

10.1016/j.elecom.2005.07.003

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Citations (61)

Characteristics of Adsorption and Desorption of Hydrogen on Multi-walled Carbon Nanotubes

Acta Physico-Chimica Sinica (2002)

Zhenhua Zhou Xiaoman Wu Yi Wang Guo-Dong Lin Hongbin Zhang

Carbon fibers

10.3866/pku.whxb20020805

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Citations (20)

A UAV-Based Transmission Line Defect Detection Method

Yuncan Bai Ning Liu Weidong Liu Zhenhua Zhou Junsong Guo

Aiming at the problems such as few defect types and no unified detection parameters, a transmission line defect detection method based on deep learning is proposed in this paper. Firstly, the power transmission line defect identification data set is established. Secondly, in order to further reduce the impact of background and lighting factors on the identification accuracy, a relevant data set is defined, and an end-to-end deep learning algorithm with high identification accuracy based on region-based convolutional neural networks (R-CNN) is proposed for establishing a detection model. Finally, experimental results show that the proposed detection method has a better detection performance.

Line (geometry)

10.1109/ic2ecs60824.2023.10493792

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Formation of bulk β–FeSi₂by annealing rapidly solidified α–FeSi₂ribbons

Journal of materials research/Pratt's guide to venture capital sources (2000)

Zhenhua Zhou Jianhua Zhao Wenkui Wang Liling Sun

Metastability

10.1557/jmr.2000.0149

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Citations (3)

Unraveling the Beneficial Electrochemistry of IrO₂/MoO₃ Hybrid as a Highly Stable and Efficient Oxygen Evolution Reaction Catalyst

ACS Sustainable Chemistry & Engineering (2018)

Muhammad Tariq Waqas Qamar Zaman Wei Sun Zhenhua Zhou Yiyi Wu

Minimization of noble metal contents along with enhancement in electrochemical properties with high durability is a major challenge to be overcome for commercializing water electrolyzers and cheap energy storage devices. Sluggish kinetics of the oxygen evolution reaction (OER) within the electrolytic cell and high energy demand to form O═O bonds have attracted more responsiveness to this area. We report the OER beneficial mixed oxide composite of molybdenum and iridium oxides by a facile hydrothermal method. Adhered IrO2 nanoparticles on MoO3 large particles synergistically possessed a robust nature toward harsh acidic water electrolysis as compared to an alkaline environment. Mass specific OER activity of iridium active centers was greatly enhanced by 7-fold, twice the current density, and was attributed to electronic modulation of noble metal. Enhanced surface area and the existence of highly oxidative species in the O(1s) spectrum of IrO2 and two doublet regions in the X-ray photoelectron spectrum of molybdenum metal were found, accountable for the robust performance. Prepared composite possessing only 30% molar fraction of noble metal presented an excellent long-term stability for 40 000 s. Reduction in the Tafel slope from 57 to 77 mV dec–1 for IM-30 and IrO2 respectively was observed. The conducted research will open up new avenues for more applications of molybdenum oxides and their derivatives for water splitting.

Oxygen evolution

Noble metal

Electrolysis of water

10.1021/acssuschemeng.7b04266

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Citations (106)

Preparation of highly active 40wt.% Pt/C cathode electrocatalysts for DMFC via different routes

Catalysis Today (2004)

Zhenhua Zhou Weijiang Zhou Suli Wang Guoxiong Wang Luhua Jiang

10.1016/j.cattod.2004.06.121

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Citations (58)

Effects of Treatment in Different Atmosphere on Pt₃Sn/C Electrocatalysts for Ethanol Electro-oxidation

Energy & Fuels (2004)

Luhua Jiang Zhenhua Zhou Wenzhen Li Weijiang Zhou Shuqin Song

Pt3Sn/C catalyst was prepared by a modified polyol process and treated in air, H2/Ar, and Ar atmosphere, respectively. XRD analyses indicate that all of these catalysts have face-centered cubic (fcc) crystal structure. Temperature-programmed reduction (TPR) experiments show that more Sn exists in zero-valence in the Ar-treated PtSn catalyst than in the others. Cyclic voltammetry (CV), chronoamperometry (CA) experiments, and the performance tests of direct ethanol fuel cell (DEFC) indicate that the catalytic activity of PtSn/C for ethanol oxidation was affected significantly by the chemical state of Sn in catalyst particles. The as-prepared PtSn/C gives the higher power density, while Ar-treated PtSn/C shows the lower cell performance. It seems that the multivalence Sn rather than the zero-valence Sn in the PtSn catalyst is the favorable form for ethanol oxidation. Energy dispersion X-ray analysis (EDX) of the PtSn/C-as prepared and PtSn/C (after stability test) shows the active species (platinum, tin, and oxygen) composition changed to a different extent. Further attempt to improve the catalyst stability is needed.

Chronoamperometry

Direct-ethanol fuel cell

Oxidation state

10.1021/ef034073q

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Citations (103)