Search Results - "Zuo, Hongfu"

Application of a state space modeling technique to system prognostics based on a health index for condition-based maintenance by Sun, Jianzhong, Zuo, Hongfu, Wang, Wenbin, Pecht, Michael G.

“…This paper presents the application of a state space model (SSM) for prognostics of an engineering system subject to degradation. A health index (HI) is…”
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The material removal mechanism and surface characteristics of Ti-6Al-4 V alloy processed by longitudinal-torsional ultrasonic-assisted grinding by Li, Pengtao, Xu, Juan, Zuo, Hongfu, Wang, Hengchang, Liu, Yan

“…Titanium alloys have excellent heavy-duty performance, but their processing and surface quality control are quite problematic. This problem can be resolved via…”
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A nonlinear total variation based denoising method for electrostatic signal of low signal-to-noise ratio by Zhong, Zhirong, Zuo, Hongfu, Jiang, Heng

“…Aero-engine electrostatic monitoring technology (EMT) is a novel and effective condition monitoring technology. With the help of EMT, effective monitoring of…”
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Health State Estimation of On-Board Lithium-Ion Batteries Based on GMM-BID Model by Feng, Shirui, Wang, Anchen, Cai, Jing, Zuo, Hongfu, Zhang, Ying

“…As a single feature parameter cannot comprehensively evaluate the health status of a battery, a multi-source information fusion method based on the Gaussian…”
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Electrostatic Sensor Application for On-Line Monitoring of Wind Turbine Gearboxes by Mao, Huijie, Zuo, Hongfu, Wang, Han

“…The oil-line electrostatic sensor (OLES) is a new online monitoring technology for wear debris based on the principle of electrostatic induction that has…”
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Aircraft Engine Fault Diagnosis Model Based on 1DCNN-BiLSTM with CBAM by Wu, Jiaju, Kong, Linggang, Kang, Shijia, Zuo, Hongfu, Yang, Yonghui, Cheng, Zheng

“…As the operational status of aircraft engines evolves, their fault modes also undergo changes. In response to the operational degradation trend of aircraft…”
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Mathematical Model, Simulation, and Experimental Calibration of Electrostatic Wear-Site Sensor by Ruochen, Liu, Hongfu, Zuo

“…Electrostatic wear-site sensor (WSS) is one type of the electrostatic sensors based on electrostatic charging phenomenon and has been used in the condition…”
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A DLSTM-Network-Based Approach for Mechanical Remaining Useful Life Prediction by Liu, Yan, Liu, Zhenzhen, Zuo, Hongfu, Jiang, Heng, Li, Pengtao, Li, Xin

“…Remaining useful life prediction is one of the essential processes for machine system prognostics and health management. Although there are many new approaches…”
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Roller Bearing Performance Degradation Assessment Based on Fusion of Multiple Features of Electrostatic Sensors by Zhang, Ying, Wang, Anchen, Zuo, Hongfu

“…This paper presents a new method to assess the performance degradation of roller bearings based on the fusion of multiple features, with the aim of improving…”
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A Novel Three-parameter Weibull Distribution Parameter Estimation Using Chaos Simulated Annealing Particle Swarm Optimization in Civil Aircraft Risk Assessment by Zhou, Di, Zhuang, Xiao, Zuo, Hongfu

“…In order to improve the parameter estimation accuracy of three-parameter Weibull distribution, a novel parameter estimation method using chaos simulated…”
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A Wear Debris Signal Processing Method Based on Inductive Monitoring for Aero-Engine by Jiang, Heng, Zuo, Hongfu, Zhong, Zhirong, Guo, Jiachen

“…In view of the high false alarm rate in the oil debris monitoring results of the triple-coil inductive sensor in the transmission lubrication system of the…”
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The Demand Supply Steady-State Process-Based Multi-Level Spare Parts Optimization by Wu, Jiaju, Liu, Huijun, Zuo, Hongfu, Cheng, Zheng, Yang, Yonghui, Ma, Yongqi, Kong, Linggang

“…Spare parts are one of the important components of the equipment comprehensive support system. Spare parts management plays a decisive role in achieving the…”
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Intelligent classification of online wear particle in lubricating oil using optical direct imaging method and convolutional neural network for rotating machinery by Liu, Zhenzhen, Zuo, Hongfu, Bai, Fang, Liu, Yan, Dhupia, Jaspreet, Jia, James Jiusi, Chen, Zhixiong

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Remaining Useful Life Prediction for Lithium-Ion Batteries Based on Iterative Transfer Learning and Mogrifier LSTM by Li, Zihan, Bai, Fang, Zuo, Hongfu, Zhang, Ying

“…Lithium-ion battery health and remaining useful life (RUL) are essential indicators for reliable operation. Currently, most of the RUL prediction methods…”
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Identification methods of charged particles based on aero-engine exhaust gas electrostatic sensor array by Guo, Jiachen, Zhong, Zhirong, Jiang, Heng, Zuo, Hongfu

“…This paper presents a study of aero-engine exhaust gas electrostatic sensor array to estimate the spatial position, charge amount and velocity of charged…”
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Prediction and Screening Model for Products Based on Fusion Regression and XGBoost Classification by Wu, Jiaju, Kong, Linggang, Yi, Ming, Chen, Qiuxian, Cheng, Zheng, Zuo, Hongfu, Yang, Yonghui

“…Performance prediction based on candidates and screening based on predicted performance value are the core of product development. For example, the performance…”
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RUL Prediction for Lithium Batteries Using a Novel Ensemble Learning Method by Wu, Jiaju, Kong, Linggang, Cheng, Zheng, Yang, Yonghui, Zuo, Hongfu

“…The remaining useful life (RUL) is the key element of fault diagnosis, prediction and health management (PHM) during the equipment operation service period…”
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Deep Learning-Based Approach for Civil Aircraft Hazard Identification and Prediction by Zhou, Di, Zhuang, Xiao, Zuo, Hongfu, Wang, Han, Yan, Hongsheng

“…Safety is an eternal issue in the civil aviation transportation. Once a civil aviation accident occurs, it will cause great casualties and economic losses. In…”
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A Lubricating Oil Condition Monitoring System Based on Wear Particle Kinematic Analysis in Microfluid for Intelligent Aeroengine by Liu, Zhenzhen, Liu, Yan, Zuo, Hongfu, Wang, Han, Fei, Hang

“…Lubricating oil monitoring technology is a commonly used method in aeroengine condition monitoring, which includes particle counting technology, as well as…”
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Pose Selection Based on a Hybrid Observation Index for Robotic Accuracy Improvement by Xiang, Tiewu, Gao, Chunhui, Du, Baoan, Qiao, Guifang, Zuo, Hongfu

“…The problem of the insufficient accuracy performance of industrial robots in high-precision manufacturing is addressed in this paper. Firstly, a kinematic…”
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