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| 1 | Challenges and Opportunities of AI-Enabled Monitoring, Diagnosis & Prognosis: A Review显示文摘Prognostics and Health Management(PHM),including monitoring,diagnosis,prognosis,and health management,occupies an increasingly important position in reducing costly breakdowns and avoiding catastrophic accidents in modern industry.With the development of artificial intelligence(AI),especially deep learning(DL)approaches,the application of AI-enabled methods to monitor,diagnose and predict potential equipment malfunctions has gone through tremendous progress with verified success in both academia and industry.However,there is still a gap to cover monitoring,diagnosis,and prognosis based on AI-enabled methods,simultaneously,and the importance of an open source community,including open source datasets and codes,has not been fully emphasized.To fill this gap,this paper provides a systematic overview of the current development,common technologies,open source datasets,codes,and challenges of AI-enabled PHM methods from three aspects of monitoring,diagnosis,and prognosis. | Zhibin Zhao Jingyao Wu Tianfu Li Chuang Sun Ruqiang Yan Xuefeng Chen | 2021 | Chinese Journal of Mechanical Engineering2021，34，3： | 8 |
| 2 | Metal-organic framework-derived Fe/Cu-substituted Co nanoparticles embedded in CNTs-grafted carbon polyhedron for Zn-air batteries显示文摘Metal-organic frameworks(MOFs)and MOF-derived materials have attracted great attention as alternatives to noble-metal based electrocatalysts owing to their intriguing structure properties,especially for high efficiency and stable oxygen reduction reaction(ORR).Herein,we employed a one-pot reaction to make a multimetal(Fe,Co,Cu,and Zn)mixed zeolitic imidazolate framework(MM-ZIF)via adopting a simple in situ redox reaction.Further pyrolysis of the target MM-ZIF,a highly porous carbon polyhedron(FC-C@NC)grafted with abundant carbon nanotubes was obtained,in which ultrasmall Co nanoparticles with partial lattice sites substituted by Fe and Cu were embedded.The obtained FC-C@NC possessed large surface area,highly porous structure,widely-spread metal active sites,and conductive carbon frameworks,contributing to outstanding ORR activity and long-term stability.It displayed superior tolerance to methanol crossover and exceeded the commercial Pt/C catalyst and most previously reported non-noble-metal catalysts.Impressively,the as-produced FC-C@NC-based zinc-air battery afforded an open-circuit potential of 1.466 V,a large specific capacity of 659.5 mAh/g,and a high gravimetric energy density of 784.3 Wh/kgZn,significantly outperforming the Pt/C-based cathode. | Kexin Zhang Yelong Zhang Qinghua Zhang Zibin Liang Lin Gu Wenhan Guo Bingjun Zhu Shaojun Guo Ruqiang Zou | 2020 | Carbon Energy2020，2，2： | 7 |
| 3 | Metal-organic framework based nanomaterials for electrocatalytic oxygen redox reaction显示文摘Due to the severe environmental issues, many advanced technologies, typically fuel cells and metal-air batteries have aroused widespread concerns and been intensively studied in recent years. However, oxygen redox reactions including oxygen evolution reaction(OER) and oxygen reduction reaction(ORR) as the core reactions suffer from sluggish kinetics of the multiple electron transfer process. Currently, Pt, RuO_2, and IrO_2 are considered to be the benchmark catalysts for ORR and OER, but their high price, scarcity and instability hinder them from large-scale application. To overcome these limits, exploring alternative electrocatalysts with low cost, high activity, long-term stability, and earth-abundance is of extreme urgency. Metal-organic frameworks(MOFs) are a family of inorganic-organic hybrid materials with high surface areas and tunable structures, making them proper as catalyst candidates. Herein, the recent progress of MOFs and MOF-derived materials for ORR and OER is systematically reviewed, and the relationship between compositions and electrochemical performance is discussed. It is expected that this review can be helpful for the future development of related MOF-based materials with excellent electrochemical performance. | Kexin Zhang Wenhan Guo Zibin Liang Ruqiang Zou | 2019 | Science China Chemistry2019，62，4： | 6 |
| 4 | MicroRNA expression profiling during neural differentiation of mouse embryonic carcinoma P19 cells显示文摘MicroRNAs (或 miRNAs ) 是涉及与房间的发展和区别有关的大量活动的小非编码的 RNA (2125 核苷酸) 。区分的神经干细胞的有那些的鼠标 P19 胚胎的癌房间的 miRNA 表达式侧面的比较证明表达式在区别以后 65 铺平改变的 miRNAs (2 褶层) 。MiR-124a 是戏剧性地起来调整的(超过 20 褶层) 当在 miR-290295 簇的 miR-302 家庭和那些的 miRNAs 是强烈下面调整的时。进一步的分析表明象 Oct4 和 Sox2 那样的一些重要因素看起来涉及这些 miRNAs 的规定。这些结果可以在早老鼠胚胎贡献调整 miRNA 的神经区别的更好的理解。 | Bing Huang Wei Li Botao Zhao Caihong Xia Ruqiang Liang Kangcheng Ruan Naihe Jing Youxin Jin | 2009 | Acta Biochimica et Biophysica Sinica2009，41，3： | 5 |
| 5 | Highly efficient K-Fe/C catalysts derived from metal-organic frameworks towards ammonia synthesis显示文摘Fe-based catalysts have been discovered as the best elementary metal-based heterogeneous catalysts for the ammonia synthesis in industrial application during the last century.Herein,a novel and scalable strategy is developed to prepare the K-promoted Fe/C catalyst with extremely high Fe loading (> 50 wt.%) through pyrolysis of the Fe-based metal-organic framework (MOF) xerogel.The obtained K-Fe/C catalysts exhibited superior activity and stability towards ammonia synthesis.The weight-specific reaction rate of Fe/C with K2O as promoter can achieve 12.4 mmol·g-1·h-1 at 350 ℃ and 30.4 mmol·g-1·h-1 at 400 ℃,approximately four and two times higher than that of the commercial fused-iron catalyst (3.4 mmol·g-1·h-1 at 350 ℃ and 16.7 mmol·g-1·h-1 at 400 ℃) under the same condition,respectively.The excellent performance of K-Fe/C can be ascribed to the inherited structure derived from the metal-organic frame precursors and the promotion of potassium,which can modify the binding energy of reactant molecules on the Fe surface,transfer electrons to iron for effective activation of nitrogen,prevent agglomeration of Fe nanoparticle (NPs) and restrain side reaction of carbon matrix to methane. | Pengqi Yan Wenhan Guo Zibin Liang Wei Meng Zhen Yin Siwei Li Mengzhu Li Mengtao Zhang Jie Yan Dequan Xiao Ruqiang Zou Ding Ma | 2019 | Nano Research2019，12，9： | 4 |
| 6 | SIMULATION OF CRACK DIAGNOSIS OF ROTOR BASED ON MULTI-SCALE SINGUUR-SPECTRUM ANALYSIS显示文摘基于小浪分析在转子的诊断裂开,当许多能他们被选择,不同母亲小浪的分析结果是,发现适应母亲小浪是一项痛苦的任务还并非一样。为小浪分析的这限制,转子的诊断途径基于多尺度的单个光谱的分析(MS-SSA ) 击碎的一篇小说被建议。第一,一个击碎的转子的一个 Jeffcott 模型被开发,向前顺序 Runge-Kuttamethod 被用来解决这个转子的运动方程获得它的时间反应(信号) 。第二, MS-SSA 的一条比较地简单的途径被介绍,在各种各样的规模的不同订单的实验直角的功能被认为是分析功能。最后,击碎的转子的信号和一个未裂开的转子用建议途径 ofMS-SSA 被分析,并且模拟结果被比较。结果显示出那,数据适应的分析函数能由用不同订单的分析函数未裂开的转子把击碎的转子的信号的分析结果与那些作比较有效地捕获信号的许多特征,转子裂缝能被识别并且诊断。 | LI Ruqiang LIU Yuanfeng | 2006 | Chinese Journal of Mechanical Engineering2006，19，2： | 4 |
| 7 | Metal-organic frameworks for electrochemical energy conversion:status and challenges显示文摘The quickly expanded energy consumption based on traditional fossil fuels has resulted in energy crises and severe environmental problems.Developing sustainable energy conversion technology is an important issue confronting the global energy security and consumption.Electrochemical energy storage and conversion is one of the most perspective renewable ways to produce carbon-free fuels via water splitting,and convert chemicals into electricity by fuel cells and metal-air batteries.A recent class of porous materials,metal-organic frameworks(MOFs),has been extensively explored as electrocatalysts or precursors to derive efficient composites in virtue of their large surface area,high porosity,tunable structures,and uniform dispersion of components[1].Because most MOFs are formed by inexpensive transition metals and commercial organic ligands. | Kexin Zhang Zibin Liang Ruqiang Zou | 2020 | Science China Chemistry2020，63，1： | 4 |
| 8 | Preparation of Polyimide Fiber/Thermoplastic Resin Composites with Improved Mechanical Properties显示文摘As a high-performance material for preparing composite materials, polyimide fibers suffer from many potential drawbacks, including poor bonding with other substrates, which results in composite materials with poor mechanical properties. Therefore, this study proposed a simple and rapid technique for obtaining loose, porous polyimide fiber papers by implementing a wet method using equal amounts of polyimide fiber and polyimide fiber paper as reinforcements, respectively. The polyimide resin-based composite materials were prepared by hand lay-up and hot pressing. The results showed that the paper-based reinforcement exhibited high porosity and the fibers were arranged with a uniform pore size distribution. The tensile properties, bending performance, and interlaminar shear performance of the paper-based composite improved by 130%, 108%, and 34.5%, respectively, compared to those of the fiberbased counterpart. The factors affecting the mechanical properties of the composites were analyzed based on the fiber length, fiber beating or lack thereof, and the basis weight of the paper. The increased uniformity of the polyimide fiber paper changed the ordering of the fibers and resolved drawbacks such as difficult dispersion, uneven pore size distribution, and poor mechanical properties related to single fibers in the resin-based composite material. | Hongyang Dang Le Chen Guoliang Zhang Ruqiang Zhang Jie Chen Zhu Long | 2019 | Paper And Biomaterials2019，4，3： | 3 |
| 9 | Induction Motor Fault Diagnosis Based on Transfer Principal Component Analysis显示文摘This paper presents a transfer learning-based approach for induction motor fault diagnosis,where the Transfer principal component analysis(TPCA)is proposed to improve diagnostic performance of the induction motors under various working conditions. TPCA is developed to minimize the distribution difference between training and testing data by mapping cross-domain data into a shared latent space in which domain difference can be reduced. The trained model can achieve a good performance in testing data by using the learned features consisting of common latent principal components. Experimental results show that the proposed approach outperforms traditional machine learning techniques and can diagnose induction motor fault under various working conditions effectively. | YAN Ruqiang SHEN Fei ZHOU Mengjie | 2021 | Chinese Journal of Electronics2021，30，1： | 3 |
| 10 | CpG ODN Enhances Immunization Effects of Hepatitis B Vaccine in Aged Mice显示文摘Oligodeoxynucleotides (ODN) containing unmethylated CpG dinucleotides in contexts of unique sequence (CpG motifs) is active as adjuvant in induction of cellular and humoral immune responses in young mice. To date, there are only limited reports about effect of CpG ODN on immune responses against hepatitis B (HB) infection in aged mice. Our studies demonstrated there were significant increases in secreting of total anti-HB IgG, IgG1 and IgG2a, as well as of IL-12 and IFN-γ, when CpG ODNs were injected together with hepatitis B antigen in aged mice. Moreover, CpG ODN could stimulate proliferation of spleen lymphocytes in a dose-dependent manner. Taken together, the results we obtained indicate that the adding of CpG ODN into the
vaccine antigen might be useful in development of more effective vaccination for inducing anti-HB virus responses in the elderly. | WeibingQin JianweiJiang QiaoerChen NingYang YifengWang XiangcaiWei RuqiangOu | 2004 | Cellular & Molecular Immunology2004，1，2： | 2 |
| 11 | Performance enhancement of ensemble empirical mode decomposition显示文摘 | Jian Zhang Ruqiang Yan Robert X. Gao Zhihua Feng | 2010 | Mechanical Systems and Signal Processing2010，，7： | 2 |
| 12 | MiR-200a is involved in rat epididymal development by targeting β-catenin mRNA显示文摘在到成年人的从出生后的开发的老鼠的 epididymis 的 350 microRNAs (miRNAs ) 的表达式(从出生后的天 770 ) 与自制 miRNA microarray 被介绍。在他们之中, 48 miRNAs 显著地变化了,在哪个 miR-200a 的表示与时间显然增加了,在与从北污点分析获得了那的一个好协议。即时量聚合酶的链反应结果显示老鼠 -catenin 的那时间的表情确切在老鼠 epididymal 开发期间是到 miR-200a 的 inversed,暗示 miR-200a 可能也指向在由 Saydam 等报导了的老鼠 epididymis 的 -catenin mRNA。在人。生物信息的分析显示老鼠 -catenin mRNA 的 3 untranslated 区域确实为 miR-200a 包含了一个通常认为的有约束力的地点。同时,这个有约束力的地点的顺序与有二邻近的核苷酸(U 和 C ) 的删除的人的 -catenin mRNA 的不同,这被发现。但是在老鼠 NRK 房间在 HEK 293T 房间和 miR-200a 的 overexpression 指向试金的酶的结果证明 miR-200a 确实指向了老鼠 -catenin mRNA 并且引起它的表示的抑制。所有这些结果证明 miR-200a 应该被指向老鼠的 -catenin mRNA 并且压制它的表达式涉及老鼠 epididymal 开发。 | Xiaojiang Wu Botao Zhao Wei Li Yue Chen Ruqiang Liang Lin Li Youxin Jin Kangcheng Ruan | 2012 | Acta Biochimica et Biophysica Sinica2012，44，3： | 2 |
| 13 | Synthesis of Microporous Nitrogen-Rich Covalent-Organic Framework and Its Application in CO_(2) Capture显示文摘An imine-based nitrogen-rich covalent-organic framework(COF)was successfully synthesized using two tri-angular building units under solvothermal reaction condition.The gas adsorption properties of the obtained micro-porous nitrogen-rich COF were investigated.The results indicated that the activated COF material presented good up take capabilities of CO_(2) and CH_(4) at 61.2 and 43.4 cm^(3)·g^(−1)at 1 atm and 273 K,respectively,showing its applica-tion potential in selective gas capture and separation. | Qiang Gao Linyi Bai Xiaojing Zhang Peng Wang Peizhou Li Yongfei Zeng Ruqiang Zou Yanli Zhao | 2015 | Chinese Journal of Chemistry2015，33，1： | 2 |
| 14 | Denoising Fault-Aware Wavelet Network:A Signal Processing Informed Neural Network for Fault Diagnosis显示文摘Deep learning(DL) is progressively popular as a viable alternative to traditional signal processing(SP) based methods for fault diagnosis. However, the lack of explainability makes DL-based fault diagnosis methods difficult to be trusted and understood by industrial users. In addition, the extraction of weak fault features from signals with heavy noise is imperative in industrial applications. To address these limitations, inspired by the Filterbank-Feature-Decision methodology, we propose a new Signal Processing Informed Neural Network(SPINN) framework by embedding SP knowledge into the DL model. As one of the practical implementations for SPINN, a denoising fault-aware wavelet network(DFAWNet) is developed, which consists of fused wavelet convolution(FWConv), dynamic hard thresholding(DHT),index-based soft filtering(ISF), and a classifier. Taking advantage of wavelet transform, FWConv extracts multiscale features while learning wavelet scales and selecting important wavelet bases automatically;DHT dynamically eliminates noise-related components via point-wise hard thresholding;inspired by index-based filtering, ISF optimizes and selects optimal filters for diagnostic feature extraction. It’s worth noting that SPINN may be readily applied to different deep learning networks by simply adding filterbank and feature modules in front. Experiments results demonstrate a significant diagnostic performance improvement over other explainable or denoising deep learning networks. The corresponding code is available at https://github. com/alber tszg/DFAWn et. | Zuogang Shang Zhibin Zhao Ruqiang Yan | 2023 | Chinese Journal of Mechanical Engineering2023，36，1： | 2 |
| 15 | From Micropores to Ultra-micropores inside Hard Carbon: Toward Enhanced Capacity in Room-/ Low-Temperature Sodium-Ion Storage显示文摘Pore structure of hard carbon has a fundamental influence on the electrochemical properties in sodium-ion batteries(SIBs).Ultra-micropores(<0.5 nm)of hard carbon can function as ionic sieves to reduce the diffusion of slovated Na+but allow the entrance of naked Na^(+) into the pores,which can reduce the interficial contact between the electrolyte and the inner pores without sacrificing the fast diffusion kinetics.Herein,a molten diffusion-carbonization method is proposed to transform the micropores(>1 nm)inside carbon into ultra-micropores(<0.5 nm).Consequently,the designed carbon anode displays an enhanced capacity of 346 mAh g^(−1) at 30 mA g^(−1) with a high ICE value of~80.6%and most of the capacity(~90%)is below 1 V.Moreover,the high-loading electrode(~19 mg cm^(−2))exhibits a good temperature endurance with a high areal capacity of 6.14 mAh cm^(−2) at 25℃ and 5.32 mAh cm^(−2) at −20℃.Based on the in situ X-ray diffraction and ex situ solid-state nuclear magnetic resonance results,the designed ultra-micropores provide the extra Na+storage sites,which mainly contributes to the enhanced capacity.This proposed strategy shows a good potential for the development of high-performance SIBs. | Jinlin Yang Xiaowei Wang Wenrui Dai Xu Lian Xinhang Cui Weichao Zhang Kexin Zhang Ming Lin Ruqiang Zou Kian Ping Loh Quan-Hong Yang Wei Chen | 2021 | Nano-Micro Letters2021，13，6： | 2 |
| 16 | An Efficient Approach to Ma-chine Health Diagnosis Based on Harmonic Wavelet Packet Transform显示文摘 | Yah Ruqiang Robert X Crao | 2005 | Robotics and Computer Integrated Manufacturing2005，21，4： | 1 |
| 17 | Subspace- based gearbox condition monitoring by kernel principal component analysis 显示文摘 | He Qingbo Kong Fanrang Yan Ruqiang | 2007 | Mechanical Systems and Sig- nal Processing2007，21，4： | 1 |
| 18 | Performance enhancement of ensemble empirical mode decomposition 显示文摘 | JianZhang Ruqiang Yan Robert X Gao | 2010 | Mechanical Systems and Signal Processing2010，24，： | 1 |
| 19 | BiVO_(4)/TiO_(2) heterojunction with rich oxygen vacancies for enhanced electrocatalytic nitrogen reduction reaction显示文摘The large-scale production of ammonia mainly depends on the Haber-Bosch process,which will lead to the problems of high energy consumption and carbon dioxide emission.Electrochemical nitrogen fixation is considered to be an environmental friendly and sustainable process,but its efficiency largely depends on the activity and stability of the catalyst.Therefore,it is imperative to develop high-efficient electrocatalysts in the field of nitrogen reduction reaction(NRR).In this paper,we developed a BiVO_(4)/TiO_(2) nanotube(BiVO_(4)/TNT)heterojunction composite with rich oxygen vacancies as an electrocatalytic NRR catalyst.The heterojunction interface and oxygen vacancy of BiVO_(4)/TNT can be the active site of N2 dynamic activation and proton transition.The synergistic effect of TiO_(2) and BiVO_(4) shortens the proton transport path and reduces the over potential of chemical reaction.BiVO_(4)/TNT has high ammonia yield of 8.54µg·h^(−1)·cm^(−2) and high Faraday efficiency of 7.70%in−0.8 V vs.RHE in 0.1 M Na_(2)SO_(4) solution. | Yunliang Liu Peiji Deng Ruqiang Wu Ramadan A.Geioushy Yaxi Li Yixian Liu Fengling Zhou Haitao Li Chenghua Sun | 2021 | Frontiers of physics2021，16，5： | 1 |
| 20 | Intelligent Fault Diagnosis for Planetary Gearbox Using Transferable Deep Q Network Under Variable Conditions with Small Training Data显示文摘Effective fault diagnosis of planetary gearboxes is critical for ensuring the safety and dependability of mechanical drive systems.Nevertheless,variable conditions and inadequate fault data bring huge challenges to its practical fault diagnosis.Taking this into account,this study presents a new intelligent fault diagnosis(IFD)approach for planetary gearbox using a transferable deep Q network(TDQN)that merges deep reinforcement learning(DRL)and transfer learning(TL).First,a DRL environment simulation is designed by a predefined classification Markov decision process.Then,leveraging varied-size convolutions and residual learning,a multiscale residual convolutional neural network agent for TDQN is created to automatically learn meaningful features directly from vibration signals while avoiding model degradation.Next,a large source dataset is obtained from complex conditions,and this agent learns an IFD policy via autonomous interaction with the data environment.Finally,a parameter-based TL strategy is adopted to retrain the model on target datasets with variable conditions and small training data,which is conducted by fine-tuning the model parameters gained from the source task to accomplish target tasks.The results show that this TDQN outperforms not only state-of-the-art methods in a source task with an accuracy of 98.53%but also in two target tasks with 99.63%and 98.37%,respectively. | Hui Wang Jiawen Xu Ruqiang Yan | 2023 | Journal of Dynamics, Monitoring and Diagnostics2023，2，1： | 1 |
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