Article
Automation & Control Systems
Wei Fan, Zhenqiang Chen, Yongxiang Li, Feng Zhu, Min Xie
Summary: Condition monitoring is crucial for ensuring the reliability and safety of rotating machinery. The construction of a health index (HI) is essential for detecting faults and assessing degradation. However, existing classical HIs have limitations in dealing with strong noise and incipient faults. To address these shortcomings, this paper proposes a reinforced noise resistant correlation method that effectively suppresses noise interference and detects incipient faults.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Vikas Singh, Nishchal K. Verma
Summary: In recent years, intelligent condition-based monitoring of rotary machinery systems has become a major research focus. Using mRMR and deep learning models can improve fault diagnostics performance by reducing data redundancy and decreasing data dependency for training the model. The proposed frameworks show better diagnostic accuracy and faster processing of data with many features.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Peng Zhang, Zeyu Gao, Lele Cao, Fangyang Dong, Yongjiu Zou, Kai Wang, Yuewen Zhang, Peiting Sun
Summary: This article presents a review of the framework of prognostics and health management (PHM) in the marine field, covering the technical processes of health condition monitoring, fault diagnosis, health prognosis, and maintenance decision. The methods and applications of each process are summarized, and the challenges of implementing PHM for intelligent ships are discussed.
Article
Engineering, Electrical & Electronic
Mojtaba Kordestani, Milad Rezamand, Marcos E. Orchard, Rupp Carriveau, David S-K Ting, Luis Rueda, Mehrdad Saif
Summary: In this paper, high-level fusion methods are employed to predict the Remaining Useful Life (RUL) of wind turbine bearings. Vibration signals are used to extract various features and capture deterioration paths. A Bayesian algorithm is utilized to determine the RUL for each selected feature. High-level fusion schemes are then employed to integrate RUL numbers and reduce uncertainty in the prediction horizons. Experimental results confirm accurate results with bounded uncertainty for the high-level fusion approaches.
IEEE SENSORS JOURNAL
(2022)
Review
Engineering, Multidisciplinary
Rodrigo Barbosa de Santis, Tiago Silveira Gontijo, Marcelo Azevedo Costa
Summary: Industrial maintenance plays a crucial role in profitability and productivity, with condition-based maintenance guiding interventions and repairs based on machine health status. The application of machine learning techniques and statistical models in the hydroelectric sector for estimating useful life and prognosis of turbine-generators is a growing trend that requires further exploration.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY
(2022)
Article
Physics, Multidisciplinary
Runtao Sun, Jianwei Yang, Dechen Yao, Jinhai Wang
Summary: This study proposes an adaptive technique for defect identification based on multipoint optimal minimum entropy deconvolution and Ramanujan subspace decomposition. The technique successfully addresses the issues of conventional signal decomposition and subspace decomposition methods when dealing with vibration signals under loud noise. Through simulation and experimentation, the technique is proven to work well in identifying bearing faults.
Article
Mathematics
Chun-Yao Lee, Truong-An Le, Chung-Yao Chang
Summary: This paper proposes a model for detecting faulty bearings using the technique for order of preference by similarity to the ideal solution (TOPSIS) for feature prioritization. The model includes feature extraction, feature selection, and classification steps. It applies variational mode decomposition (VMD) and fast Fourier transform (FFT) for feature extraction and the TOPSIS method for feature selection. The model is evaluated using two bearing datasets and shows promising results compared to other models.
Article
Engineering, Electrical & Electronic
Yuhua Yin, Zhiliang Liu, Mingjian Zuo, Zetong Zhou, Junhao Zhang
Summary: In this article, a three-dimensional data compression method based on fault mechanism is proposed, which effectively reduces the data size by introducing the concept of compression dimension and bit cost, while maintaining good diagnostic performance.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Automation & Control Systems
Dongdong Liu, Lingli Cui, Weidong Cheng
Summary: Rotating machinery fault diagnosis under nonstationary conditions commonly relies on manual analysis of vibration signals' frequency spectrums or time-frequency representations. However, expert experience heavily determines the results of these methods, and identifying the frequency content becomes difficult due to the intricate interference frequency components caused by complex modulation characteristics and operation conditions. This article investigates a novel intelligent fault diagnosis method for rolling bearings under nonstationary conditions. A flexible generalized demodulation method is proposed, which overcomes the effects of operation conditions on demodulation spectrums. Based on this, a fault feature extraction method is further proposed to capture useful fault information. Experimental results show that the proposed method can automatically recognize health conditions that cannot be manually identified by demodulation spectrums due to interference frequency components and it is more adaptive to new operation conditions because of its definite physical meaning.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Electrical & Electronic
Sha Wei, Dong Wang, Hong Wang, Zhike Peng
Summary: Rolling bearing cage failure can lead to machine breakdown, with fault diagnosis of space bearing cage being a challenging topic. The proposed TVEF method accurately extracts the fault features of space bearing cage, demonstrating potential and effectiveness in experiments.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Engineering, Chemical
Lijun Wang, Xiangyang Li, Da Xu, Shijuan Ai, Chaoge Wang, Changxin Chen
Summary: This study proposes a bearing fault feature extraction method based on an adaptive orthogonal matching pursuit algorithm and an improved K-singular value decomposition. The method can separate the harmonic components in the signal quickly and accurately, and avoids the problem of algorithm performance degradation. Theoretical verification and experimental comparisons show that the method has advantages in rolling bearing fault feature extraction.
Article
Engineering, Electrical & Electronic
Qiang Xue, Boyu Xu, Changbo He, Fang Liu, Bin Ju, Siliang Lu, Yongbin Liu
Summary: The study introduces a novel feature extraction method called HDE, which integrates the advantages of hierarchical analysis and information fusion for more effective fault diagnosis of rolling bearings. Experimental results demonstrate that the features extracted by the proposed method exhibit better clustering effect and higher recognition rate compared to other methods.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Chemistry, Analytical
Anthony D. Cho, Rodrigo A. Carrasco, Gonzalo A. Ruz
Summary: Prognostics and health management disciplines offer an efficient solution to enhance system durability by estimating the remaining useful life (RUL) before failure. This study focuses on prognostics by developing a recurrent neural network and a forecasting method called Prophet to evaluate the performance quality in RUL estimation. The approach is applied to non-monotonic degradation signals and tested using data from new generation telescopes in real-world applications.
Article
Engineering, Chemical
Lijun Wang, Xiangyang Li, Da Xu, Shijuan Ai, Changxin Chen, Donglai Xu, Chaoge Wang
Summary: This paper proposes a bearing fault feature extraction method based on the EEMD algorithm and improved sparse representation. By separating harmonic components, EEMD decomposition, and constructing a learning dictionary, the impact component in the signal can be effectively extracted.
Article
Engineering, Electrical & Electronic
Muhammad Ahmer, Fredrik Sandin, Par Marklund, Martin Gustafsson, Kim Berglund
Summary: The stochastic nature of grinding processes presents a challenge in predicting surface quality. This paper introduces a novel approach to predict the overall quality of individual parts and implement condition-based maintenance using sensors. The model trained with T-2 labels achieves over 94% accuracy in comparison to measured results, enabling reliable maintenance decision-making.
Article
Materials Science, Multidisciplinary
Ruoyu Li, Zhonghai Xu, Xiaocan Zou, Chunxing Hu, Xiaodong He
Summary: In this study, a cohesive zone model considering the effect of friction is proposed to describe the interfacial mechanical responses of fiber/resin composites. The impact of interface friction on the mechanical behaviors of composites is investigated through the development of microdroplet finite element model and representative volume element model.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(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
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
Computer Science, Information Systems
Jingyu Xiao, Qingsong Zou, Qing Li, Dan Zhao, Kang Li, Zixuan Weng, Ruoyu Li, Yong Jiang
Summary: This paper proposes a novel accurate UDI prediction approach for smart homes, which improves prediction accuracy by mining routine behaviors, considering user intents, and capturing multi-level periodicity. The experimental results demonstrate that it outperforms existing baselines with more accurate and interpretable results.
PROCEEDINGS OF THE ACM ON INTERACTIVE MOBILE WEARABLE AND UBIQUITOUS TECHNOLOGIES-IMWUT
(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)