Search Results - "Jia, Baozhu"
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Optimal Time Frequency Fusion Symmetric Dot Pattern Bearing Fault Feature Enhancement and Diagnosis
Published in Sensors (Basel, Switzerland) (27-06-2024)“…Regarding the difficulty of extracting the acquired fault signal features of bearings from a strong background noise vibration signal, coupled with the fact…”
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Bearing-Fault-Feature Enhancement and Diagnosis Based on Coarse-Grained Lattice Features
Published in Sensors (Basel, Switzerland) (30-05-2024)“…In view of the frequent failures occurring in rolling bearings, the strong background noise present in signals, weak features, and difficulties associated with…”
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3
An Underwater Positioning System for UUVs Based on LiDAR Camera and Inertial Measurement Unit
Published in Sensors (Basel, Switzerland) (20-07-2022)“…Underwater positioning presents a challenging issue, because of the rapid attenuation of electronic magnetic waves, the disturbances and uncertainties in the…”
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4
Enhancing Underwater SLAM Navigation and Perception: A Comprehensive Review of Deep Learning Integration
Published in Sensors (Basel, Switzerland) (31-10-2024)“…Underwater simultaneous localization and mapping (SLAM) is essential for effectively navigating and mapping underwater environments; however, traditional SLAM…”
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5
The accuracy of the mean value engine model affected little by the accuracy of compressor mass flow rate model for a marine diesel engine
Published in Journal of marine science and technology (01-03-2024)“…The digital twin concept proves to be highly advantageous for smart ships as it allows the digital model to adapt in real time with changes in the physical…”
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Bearing Fault Feature Enhancement and Diagnosis Based on Savitzky-Golay Filtering Gramian Angular Field
Published in IEEE access (2024)“…In actual engineering production, bearings typically operate in harsh environments. The fault features of bearing vibration signals are often submerged by…”
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Improvement of JENSEN model for the compressor volume flow rate of marine diesel engine
Published in Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023)“…Modeling is an efficient and validated method in industry digitalization, and it lays a foundation for smart applications like digital twins, fault…”
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Rolling Bearing Fault Diagnosis Under Different Severity Based on Statistics Detection Index and Canonical Discriminant Analysis
Published in IEEE access (2023)“…Bearing failures are the most frequent causes of breakdowns in rotating machinery. Different levels of severity in these failures exhibit distinct fault…”
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9
A novel active disturbance rejection control with hyperbolic tangent function for path following of underactuated marine surface ships
Published in Measurement and control (London) (01-11-2020)“…This paper presents a TADRC method via active disturbance rejection control (ADRC) with hyperbolic tangent function for path following of underactuated surface…”
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10
Development of a Marine Two-Stroke Diesel Engine MVEM with In-Cylinder Pressure Trace Predictive Capability and a Novel Compressor Model
Published in Journal of marine science and engineering (01-03-2020)“…In this article, to meet the requirements of marine engine room simulator on both the simulation speed and simulation accuracy, a mean value engine model…”
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11
Parametric Investigation on the Influence of Turbocharger Performance Decay on the Performance and Emission Characteristics of a Marine Large Two-Stroke Dual Fuel Engine
Published in Journal of marine science and engineering (01-08-2024)“…Identifying and analyzing the engine performance and emission characteristics under the condition of performance decay is of significant reference value for…”
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12
Detection of AFB1 by Immunochromatographic Test Strips Based on Double-Probe Signal Amplification with Nanobody and Biotin–Streptavidin System
Published in Foods (25-10-2024)“…Aflatoxin B1 (AFB1) is highly toxic and difficult to prevent. It is mainly produced by fungi and exists in plants and animals and is classified by the World…”
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13
Oil Spill Detection Using LBP Feature and K-Means Clustering in Shipborne Radar Image
Published in Journal of marine science and engineering (01-01-2021)“…Oil spill accidents have seriously harmed the marine environment. Effective oil spill monitoring can provide strong scientific and technological support for…”
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14
Marine Radar Oil Spill Extraction Based on Texture Features and BP Neural Network
Published in Journal of marine science and engineering (01-12-2022)“…Marine oil spills are one of the major threats to marine ecological safety, and the rapid identification of oil films is of great significance to the emergency…”
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15
Oil spill discrimination of multi-time-domain shipborne radar images using active contour model
Published in Geoscience letters (07-03-2021)“…Accidental oil spills cause serious pollution to the ocean and are difficult to control in short time. It is an important guarantee for emergency disposal to…”
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16
Numerical Simulations of 2D Hydraulic Jumps by a Parallel SPH Model
Published in Water (Basel) (01-09-2021)“…Hydraulic jumps are a rapid transition from supercritical to subcritical flow and generally occur in rivers or spillways. Owing to the high energy dissipation…”
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17
Oil spill identification in X-band marine radar image using K-means and texture feature
Published in PeerJ. Computer science (24-10-2022)“…Marine oil pollution poses a serious threat to the marine ecological balance. It is of great significance to develop rapid and efficient oil spill detection…”
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18
Hydrographic data inspection and disaster monitoring using shipborne radar small range images with electronic navigation chart
Published in PeerJ. Computer science (14-09-2020)“…Shipborne radars cannot only enable navigation and collision avoidance but also play an important role in the fields of hydrographic data inspection and…”
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19
Detecting Community Structures in Networks by Label Propagation with Prediction of Percolation Transition
Published in TheScientificWorld (01-01-2014)“…Though label propagation algorithm (LPA) is one of the fastest algorithms for community detection in complex networks, the problem of trivial solutions…”
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A ship equipment reliability evaluation method based on symbolic information and interval-valued q-rung picture fuzzy projection
Published in Ocean engineering (01-05-2024)“…The theoretical reliability of ship equipment is often inconsistent with the practical situation. The scientific evaluation of the actual reliability becomes…”
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