Search Results - "Li, Yongbo"
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1
Application of Bandwidth EMD and Adaptive Multiscale Morphology Analysis for Incipient Fault Diagnosis of Rolling Bearings
Published in IEEE transactions on industrial electronics (1982) (01-08-2017)“…This paper presents a novel signal processing scheme, bandwidth empirical mode decomposition, and adaptive multiscale morphological analysis (BEMD-AMMA) for…”
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2
Evaluating the Effectiveness of the ACT Model in Enhancing Students’ Coping Skills in Higher Education Counseling
Published in Applied mathematics and nonlinear sciences (01-01-2024)“…The outbreak of a new coronavirus pneumonia epidemic in early 2020 has had a great impact on the mental health status of college students, especially elevating…”
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3
The Entropy Algorithm and Its Variants in the Fault Diagnosis of Rotating Machinery: A Review
Published in IEEE access (2018)“…Rotating machines have been widely used in industrial engineering. The fault diagnosis of rotating machines plays a vital important role to reduce the…”
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4
Bayesian estimation of parameters and uncertainty of a 3-D dipping fault using gravity anomalies
Published in Geophysical journal international (01-12-2023)“…SUMMARY Many significant geophysical anomalies are generated by fault systems, and effectively estimating fault parameters is a key step to understand the…”
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5
MobiQoR: Pushing the Envelope of Mobile Edge Computing Via Quality-of-Result Optimization
Published in 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS) (01-06-2017)“…Mobile edge computing aims at improving application response time and energy efficiency by deploying data processing at the edge of the network. Due to the…”
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Conference Proceeding -
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Cross-domain Fault Diagnosis Using Knowledge Transfer Strategy: A Review
Published in IEEE access (01-01-2019)“…Data-driven fault diagnosis has been a hot topic in recent years with the development of machine learning techniques. However, the prerequisite that the…”
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7
Advanced Fault Diagnosis and Health Monitoring Techniques for Complex Engineering Systems
Published in Sensors (Basel, Switzerland) (19-12-2022)“…Fault diagnosis and health condition monitoring have always been critical issues in the engineering research community [...]…”
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8
A Rotating Machinery Fault Diagnosis Method Based on Dynamic Graph Convolution Network and Hard Threshold Denoising
Published in Sensors (Basel, Switzerland) (27-07-2024)“…With the development of precision sensing instruments and data storage devices, the fusion of multi-sensor data in gearbox fault diagnosis has attracted much…”
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9
Fusion Domain-Adaptation CNN Driven by Images and Vibration Signals for Fault Diagnosis of Gearbox Cross-Working Conditions
Published in Entropy (Basel, Switzerland) (13-01-2022)“…The vibration signal of gearboxes contains abundant fault information, which can be used for condition monitoring. However, vibration signal is ineffective for…”
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10
Bayesian inversion for modelling 3-D density structures in the eastern margin of Bayan Har block and its tectonic implications
Published in Geophysical journal international (01-02-2024)“…SUMMARY Recently, the eastern margin of the Tibetan plateau has experienced three moderate earthquakes. Deep crustal structure is a critical factor for…”
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Journal Article -
11
Advanced Sensing, Fault Diagnostics, and Structural Health Management
Published in Sensors (Basel, Switzerland) (23-11-2022)“…Advanced sensing, fault diagnosis, and structural health management are important parts of the maintenance strategy of modern industries [...]…”
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12
Deletion of BACH1 Attenuates Atherosclerosis by Reducing Endothelial Inflammation
Published in Circulation research (01-04-2022)“…The transcription factor BACH1 (BTB and CNC homology 1) suppressed endothelial cells (ECs) proliferation and migration and impaired angiogenesis in the…”
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13
Health Condition Monitoring and Early Fault Diagnosis of Bearings Using SDF and Intrinsic Characteristic-Scale Decomposition
Published in IEEE transactions on instrumentation and measurement (01-09-2016)“…Early fault diagnosis is crucial to reduce the machine downtime. This paper presents a novel method based on symbolic dynamic filtering (SDF) for early fault…”
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14
Early Fault Diagnosis of Rotating Machinery by Combining Differential Rational Spline-Based LMD and K-L Divergence
Published in IEEE transactions on instrumentation and measurement (01-11-2017)“…First, an improved local mean decomposition (LMD) method called differential rational spline-based LMD (DRS) is developed for signal decomposition…”
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15
An Evaluation of Gearbox Condition Monitoring Using Infrared Thermal Images Applied with Convolutional Neural Networks
Published in Sensors (Basel, Switzerland) (13-05-2019)“…As an important machine component, the gearbox is widely used in industry for power transmission. Condition monitoring (CM) of a gearbox is critical to provide…”
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16
Image Super-Resolution With Parametric Sparse Model Learning
Published in IEEE transactions on image processing (01-09-2018)“…Recovering a high-resolution (HR) image from its low-resolution (LR) version is an ill-posed inverse problem. Learning accurate prior of HR images is of great…”
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17
Incidence and risk factors of adjacent vertebral fracture after percutaneous vertebroplasty or kyphoplasty in postmenopausal women: a retrospective study
Published in Scientific reports (03-08-2024)“…Adjacent vertebral fracture (AVF) is a serious complication of percutaneous vertebroplasty (PVP) or kyphoplasty (PKP) for osteoporotic vertebral compression…”
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18
Partial Transfer Ensemble Learning Framework: A Method for Intelligent Diagnosis of Rotating Machinery Based on an Incomplete Source Domain
Published in Sensors (Basel, Switzerland) (28-03-2022)“…Most cross-domain intelligent diagnosis approaches presume that the health states in training datasets are consistent with those in testing. However, it is…”
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19
Facile synthesis, magnetic and microwave absorption properties of Fe3O4/polypyrrole core/shell nanocomposite
Published in Journal of alloys and compounds (10-03-2011)Get full text
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Composite Multiscale Transition Permutation Entropy-Based Fault Diagnosis of Bearings
Published in Sensors (Basel, Switzerland) (14-10-2022)“…When considering the transition probability matrix of ordinal patterns, transition permutation entropy (TPE) can effectively extract fault features by…”
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Journal Article