Article
Chemistry, Analytical
Hongpeng Zhang, Xinran Wang, Cunyou Zhang, Wei Li, Jizhe Wang, Guobin Li, Chenzhao Bai
Summary: This study introduces a tailored dynamic conditional adversarial domain adaptation model for fault diagnosis in wind turbine gearboxes, achieving good results in cross-condition scenarios.
Article
Engineering, Mechanical
Xiaoluo Yu, Yifan Huangfu, Qingbo He, Yang Yang, Minggang Du, Zhike Peng
Summary: This paper proposes a gearbox fault diagnosis method under nonstationary condition using nonlinear chirp components. The proposed method improves the quality of vibration signals by removing the effect of the structure vibration transfer paths and is capable of clearly reflecting fault phenomena that cannot be observed using order tracking.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Computer Science, Artificial Intelligence
Jiayang Liu, Qiang Zhang, Fuqi Xie, Xiaosun Wang, Shijing Wu
Summary: This paper proposes a new method based on improved octave convolution for detecting incipient faults in gearboxes under steady and variable conditions. By converting vibration signals into images and enhancing image detail learning through the addition of convolution kernels and residual connections in the high-frequency component of the octave convolution, as well as introducing self-attention units in the information interaction branches, the proposed method effectively identifies weak fault features. The combination of improved octave convolution and ResNet50 backbone network (IOC-ResNet50) is used for deep fault feature mining, and the results indicate superior performance compared to other published methods in both time-varying conditions and steady state.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Engineering, Mechanical
Junchuan Shi, Dikang Peng, Zhongxiao Peng, Ziyang Zhang, Kai Goebel, Dazhong Wu
Summary: Traditional model-based fault diagnosis techniques struggle to automatically extract spatial and temporal features, while deep learning methods are capable of automatic feature extraction but struggle to extract spatial and temporal features simultaneously.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Multidisciplinary
Tomasz Nowakowski, Franciszek Tomaszewski, Pawel Komorski, Grzegorz M. Szymanski
Summary: The article presents the genesis of a method to diagnose a tram transmission based on acoustic signals from the track position. The influence of a damaged gearbox on acoustic phenomena near the tram line, specifically changes in psychoacoustic indicators, was demonstrated. Nonstationary acoustic signals were analyzed using empirical mode decomposition. The developed quantitative measure served as a classifier in decision trees. An effective tree was selected based on calculated diagnostic indicators, and an algorithm to diagnose the tram transmission without mounting equipment on the vehicle was developed.
Article
Engineering, Mechanical
Zhipeng Feng, Aoran Gao, Kangqiang Li, Haoqun Ma
Summary: This study proposes a method for diagnosing planetary gearbox faults by analyzing encoder signals, detecting gear faults by analyzing the time interval between encoder pulses. Experimental results demonstrate that this method can successfully diagnose various localized faults in planetary gearboxes.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Acoustics
Xiaoluo Yu, Zhanwei Li, Qingbo He, Yang Yang, Minggang Du, Zhike Peng
Summary: This paper proposes a gearbox fault diagnosis method based on bearing dynamic force identification, which can clearly reflect gear fault characteristics and show better performance compared to original vibration signals. Numerical simulation and experimental studies demonstrate the effectiveness of the estimated bearing dynamic force signals for gear fault diagnosis.
JOURNAL OF SOUND AND VIBRATION
(2021)
Article
Engineering, Multidisciplinary
Sanjeev Kumar, Vikash Kumar, Somnath Sarangi, Om Prakash Singh
Summary: This paper proposes a higher order moment (HOM) based gearbox fault diagnosis method, in which the logarithmic amplitude of HOM (LHOM) is introduced as a new feature for gearbox fault diagnosis instead of traditional time domain features. Experiments on three benchmark gearbox datasets with different localized fault conditions show that the LHOM exhibits a linear trend with order of moments and is directly proportional to the severity of faults beyond the fifth order moment. Furthermore, case studies using five popular ML-classifiers and three feature selection techniques demonstrate that the LHOM features can be used as extracted features for diagnosing gearbox faults.
Article
Computer Science, Information Systems
Luke Zhang, Yi Li, Lincheng Dong, Xiaoqing Yang, Xiaoxi Ding, Qiang Zeng, Liming Wang, Yimin Shao
Summary: This paper proposes a novel method for achieving fault frequency detection more effectively in early-stage gear faults. The method uses sparse decomposition and orthogonal matching pursuit to refine modulation components and multiscale-sparse frequency-frequency distribution to augment existing fault-related harmonic components. Experimental results have verified the effectiveness and superiority of the proposed method for gear fault detection compared to other analysis methods.
Article
Automation & Control Systems
Xiaolong Zhang, Zuqiang Su, Xiaolin Hu, Yan Han, Shuxian Wang
Summary: In this article, an improved few-shot semi-supervised learning method, called SSMPN, was proposed to achieve industrial fault diagnosis under limited labeled samples. The experiments demonstrated that SSMPN is more effective than comparable methods.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Engineering, Electrical & Electronic
Bojian Chen, Changqing Shen, Dong Wang, Lin Kong, Liang Chen, Zhongkui Zhu
Summary: This article proposes a lifelong learning method for fault diagnosis (LLMFD) to solve the problem of diagnosing increasing fault types. The key of LLMFD is a dual-branch aggregation networks (DBANets) framework combined with reserved exemplars to learn new fault types without forgetting the old ones. Results show that LLMFD is superior to other lifelong learning methods and exhibits satisfactory robustness.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Acoustics
Jiachi Yao, Chao Liu, Keyu Song, Chenlong Feng, Dongxiang Jiang
Summary: A fault diagnosis method based on acoustic signals for planetary gearbox is proposed, using FDM decomposition and RF classification algorithm to improve fault diagnosis accuracy.
Article
Automation & Control Systems
Honghai Huang, Baoping Tang, Jun Luo, Huayan Pu, Kai Zhang
Summary: This article proposes a new method for gearbox fault diagnosis using multisensor fusion. The residual gated dynamic sparse network is used to improve feature learning and fusion ability. Experimental results and engineering application show that this method is more effective than others under noise interference.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Acoustics
Vamsi Inturi, N. Shreyas, Karthick Chetti, G. R. Sabareesh
Summary: This study successfully predicts the location, type and severity of local defects in a wind turbine gearbox at different speeds through experiments and a multi-level classification method, with an ANFIS classification accuracy of 92%.
Article
Engineering, Electrical & Electronic
Dezun Zhao, Lingli Cu, Fulei Chu
Summary: A novel time-frequency analysis method, SRSCT, has been developed with high time-frequency resolution and adaptive mode decomposition ability. Experimental results demonstrate its effectiveness in accurately characterizing fault features and achieving the highest energy concentration in time-frequency representations.
IEEE SENSORS JOURNAL
(2022)
Article
Acoustics
Meijun Yan, Ruoyu LI, Die Hu, Ping Zhao
Summary: The aim of this study was to assess subchondral bone microcirculation in early osteonecrosis of the femoral head using contrast-enhanced ultrasound and evaluate its correlation with ARCO stage. We found significant differences in CEUS parameters between different ARCO stages, and ARCO stage was correlated with various CEUS parameters. Based on these findings, CEUS could effectively evaluate subchondral bone perfusion and be a potential imaging method for the diagnosis of early osteonecrosis.
ULTRASOUND IN MEDICINE AND BIOLOGY
(2023)
Article
Mechanics
Xiaocan Zou, Zhonghai Xu, Jin Gao, Shibao Wu, Ruoyu Li, Wenjie Li, Xiaodong He
Summary: In this paper, a novel explicit multi-phase damage model based on the puck failure criterion and explicit dynamics is proposed to predict the progressive failure process of composite laminates. The model introduces a penalty parameter to reformulate the crack surface energy density for different failure modes to ensure reasonable damage prediction results. The model has undergone rigorous algebraic derivation to ensure thermodynamic consistency. The effects of explicit multi-phase field parameters on the damage prediction of composite are investigated by two representative cases, and the results show that the phenomenological failure criteria combined with appropriate explicit multi-phase field parameters can reasonably explain the progressive failure process of composite laminates.
COMPOSITE STRUCTURES
(2023)
Article
Biochemistry & Molecular Biology
Chan Li, Hui Zhang, Hao Wu, Ruoyu Li, Dongxu Wen, Yaju Tang, Zhen Gao, Rui Xu, Sihai Lu, Qiang Wei, Xiaoe Zhao, Menghao Pan, Baohua Ma
Summary: Intermittent fasting (IF) has been found to improve oocyte quality and embryo development in older females by restoring cellular processes, reducing DNA damage, and suppressing apoptosis. This study provides insights into the role and mechanisms of IF in reproductive aging.
FREE RADICAL BIOLOGY AND MEDICINE
(2023)
Article
Chemistry, Physical
Jiajia Wang, Zhengpeng Chen, Mingfei Li, Mumin Rao, Ruoyu Li, Xuemei Ou, Yunfeng Tian, Fangjun Jin, Chengjin Shen, Yihan Ling
Summary: Symmetric solid oxide fuel cells are attracting increasing attention due to their simple fabrication and low cost. In this study, Sm-0.5 x 0.5Fe0.9Ni0.1O3-delta materials were synthesized and their physico-chemical properties and electrochemical performance as electrodes were systematically studied. The synthesized materials showed stable phase structures under oxidizing and reducing atmospheres below 750 degrees C, and the peak power densities of the symmetrical cells with different electrodes were measured.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Agriculture, Dairy & Animal Science
Meng-Hao Pan, Rui Xu, Yiqian Zhang, Lu Yin, Ruoyu Li, Dongxu Wen, Sihai Lu, Yan Gao, Xiaoe Zhao, Qiang Wei, Bin Han, Baohua Ma
Summary: Our study demonstrates that the Arp2/3 complex is essential for maintaining cytoskeletal dynamics and mitochondrial function during goat oocyte maturation. Disruption of the Arp2/3 complex leads to impaired F-actin assembly, spindle organization, ROS accumulation, and increased early apoptosis in goat oocytes.
Article
Microbiology
Jie Gong, Xin-Fei Chen, Xin Fan, Juan Xu, Han Zhang, Ruo-Yu Li, Sharon C-A Chen, Fanrong Kong, Shu Zhang, Zi-Yong Sun, Mei Kang, Kang Liao, Da-Wen Guo, Zhe Wan, Zhi-Dong Hu, Yun-Zhuo Chu, Hong-Mei Zhao, Gui-Ling Zou, Chong Shen, Yuan-Yuan Geng, Wei-Wei Wu, He Wang, Fei Zhao, Xin Lu, Li-Hua He, Gui-Ming Liu, Ying-Chun Xu, Jian-Zhong Zhang, Meng Xiao
Summary: This study presents the population structure of 551 global C. albicans strains, with 370 strains' antifungal susceptibilities tested. The results show that 66.6% of the azole-nonsusceptible/non-wild-type strains belong to Clade 1. Within Clade 1, two nested subclades (Clade 1-R and Clade 1-R-alpha) exhibit higher azole resistance and are distributed in different cities in China. This study highlights the importance of monitoring the spread of these drug-resistant subclades for public health.
MICROBIOLOGY SPECTRUM
(2023)
Article
Computer Science, Hardware & Architecture
Qing Li, He Huang, Ruoyu Li, Jianhui Lv, Zhenhui Yuan, Lianbo Ma, Yi Han, Yong Jiang
Summary: In the past decade, DDoS attacks have increasingly utilized botnets composed of IoT devices, resulting in a significant scale increase. These attacks continue to evolve with new variants exploiting various system vulnerabilities. Researchers have contributed to DDoS defense by applying modern programmable network technology and network-level resource scheduling management technology. However, more research is needed on these technologies as existing review articles fall short.
Article
Mycology
Nickolas Menezes da Silva, Guilherme Fonseca Reis, Flavia de Fatima Costa, Maria Eduarda Grisolia, Marlon Roger Geraldo, Bruno Paulo Rodrigues Lustosa, Bruna Jacomel Favoreto de Souza Lima, Vinicius Almir Weiss, Emanuel Maltempi de Souza, Ruoyu Li, Yinggai Song, Mariana Machado Fidelis Nascimento, Diogo Robl, Renata Rodrigues Gomes, G. Sybren de Hoog, Vania Aparecida Vicente
Summary: This study focused on the sequencing, assembly, and description of the whole genome of Cladophialophora exuberans, a black yeast related fungus, with an emphasis on genes and pathways related to carbon and toxin management, tolerance and bioremediation of lead and copper, and metal homeostasis. The results showed that the strain exhibited growth inhibition at minimum inhibitory and fungicidal concentrations of copper and lead, and could grow at higher concentrations in agar tests. In addition, the strain demonstrated uptake capacities of copper and lead in heavy metal bioremediation assays. This study contributed to the annotation of genes involved in heavy metal homeostasis and provided insights into the mechanisms of tolerance and adaptation to extreme conditions.
Article
Physics, Applied
Yifan Zhou, Ruoyu Li, Pengpeng Jiang, Xiaowei Guo, Shaorong Li
Summary: In the past three decades, various dielectric resonator antennas (DRAs) have been developed for portable wireless communications and millimeter wave systems. However, current feeding methods suffer from radiation leakage and high losses. In this paper, we propose using a topological photonic crystal (TPC) as an effective feeding method, which can effectively suppress the reflecting loss at the feeder/DRA interface. A numerically designed DRA with a TPC feeder operating at 1.5 THz demonstrates a return loss as low as 44 dB, an impedance bandwidth of 3.9%, a maximum gain of 7.4 dBi, and 3dB angular widths of 58 degrees. Over 99% radiation efficiency can be achieved at the operating THz band. The proposed all-dielectric antenna has potential applications in integrated photonic chips, biomedical applications, and 6G.
JOURNAL OF APPLIED PHYSICS
(2023)
Article
Engineering, Mechanical
Ruoyu Li, Chaocan Cai, Zhonghai Xu, Xiaocan Zou, Chunxing Hu, Xiaodong He
Summary: In this paper, a nonlinear friction-cohesive model combining sliding friction and interfacial debonding is developed to characterize the mechanical responses of mode II fracture by incorporating Coulomb friction into the exponential cohesive law. After calibrating the parameters with experimental data, this model can simulate the load-displacement curve of ENF test well. A parametric study is also conducted to investigate the effects of interfacial parameters on the load-displacement curves of ENF test. The results show that the proposed model is closer to the experimental data compared to other cohesive models.
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY
(2023)
Article
Biotechnology & Applied Microbiology
Haotian Luo, Danying Chen, Ruoyu Li, Runze Li, Yungshan Teng, Yang Cao, Xuenong Zou, Weicai Wang, Chen Zhou
Summary: Biofilm-related diseases are difficult to treat due to their tolerance to antimicrobial chemotherapies. Periodontitis, a chronic biofilm disease induced by dental plaque, provides a good model to study the effects of host factors on the biofilm microenvironment. This study confirmed the reduction of microRNA-126 (miR-126) with the recruitment of macrophages in periodontitis and explored a strategy for targeted delivery of miR-126 to macrophages. Exosomes overexpressing CXCR4 and loaded with miR-126 successfully regulated macrophages and reduced bone resorption and osteoclastogenesis in periodontitis. These findings provide new insights for the treatment of periodontitis and other biofilm-related diseases.
JOURNAL OF NANOBIOTECHNOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Yanchen Yang, Lijun Yun, Ruoyu Li, Feiyan Cheng, Kun Wang
Summary: This paper proposes a Siamese mobile vision transformer (SMViT) model for multi-view gait recognition. The model focuses on both local characteristics and long-distance attention associations, and can extract multi-dimensional step status features as well as describe the influence of different perspectives on gait characteristics.
APPLIED SCIENCES-BASEL
(2023)
Article
Cell Biology
Ruoyu Li, Yungshan Teng, Yuqing Guo, Jianhan Ren, Runze Li, Haotian Luo, Danying Chen, Zhicai Feng, Zheng Fu, Xuenong Zou, Weicai Wang, Chen Zhou
Summary: Aging-related diseases are associated with inflammation, also known as inflammaging. Senescent cells secrete factors that contribute to inflammation, called SASP. SUV39H1, a protein involved in chromatin regulation, was found to decrease with aging and inhibit SASP by modifying the epigenetic marks of certain genes.
MECHANISMS OF AGEING AND DEVELOPMENT
(2023)
Article
Veterinary Sciences
Xiao-Po Liu, Jia-Qi LI, Ruo-Yu LI, Guo-Long Cao, Yun-Bo Feng, Wei Zhang
Summary: The imbalance of bone resorption and bone formation caused osteoporosis. MGAT5 deficiency reduced osteogenic activity in bone marrow cultures. Knockdown of Mgat5 inhibited the osteogenic differentiation of BMSCs and suppressed ss-catenin, BMP2, and TGF-ss signals. MGAT5 may modulate the osteogenic differentiation and contribute to the development of osteoporosis.
EXPERIMENTAL ANIMALS
(2023)
Article
Computer Science, Information Systems
Qingsong Zou, Qing Li, Ruoyu Li, Yucheng Huang, Gareth Tyson, Jingyu Xiao, Yong Jiang
Summary: With the increasing deployment of smart home IoT devices, privacy leakage has become a growing concern. Previous research on privacy-invasive device localization, classification, and activity identification has demonstrated various privacy risks in smart home environments. However, these studies have practical limitations and only show limited threats in real-world scenarios.
PROCEEDINGS OF THE ACM ON INTERACTIVE MOBILE WEARABLE AND UBIQUITOUS TECHNOLOGIES-IMWUT
(2023)
