28 Result(s)
within
Chapter
**aoQing Cheng
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Chapter and Conference Paper
Adversarial Adaptation Based on Bidirectional Temporal Convolutional Network for RUL Prediction
Remaining useful life (RUL) prediction is one of the key techniques in prognostics and health management (PHM). Deep learning-based prognostics methods, which can automatically mine useful degradation informat...
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Chapter
Comprehensive Motivation Theory in Foreign Investment: A New Theoretical Paradigm for Global Chinese Enterprises
As Chinese enterprises become more global, an increasing number of companies have chosen to participate in the process of globalization . According to the 2017 World Investment Report, in 2016, Chinese enterpris...
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Chapter
Cerebral Vasculitis
Vasculitis is a group of vascular inflammatory diseases characterized by inflammatory and fibrinoid necrosis of the vessel wall as the main pathological feature, which can involve vessels of any size. In recen...
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Chapter and Conference Paper
Bearing Fault Diagnosis Method of Bearing Based on LSTM Auto-Encoder
Aiming at the problem that the signal features of rolling bearing fault diagnosis need to be extracted and selected manually, which affects the accuracy of fault classification, a rolling bearing fault diagnos...
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Chapter
Object Detection on Train Bogies Using Structured Light Scanning
In this paper, a non-contact technology based on structured light scanning is introduced to inspect adhered substances on train bogie, and compute the volume of substances. The scanning system consists of a li...
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Chapter and Conference Paper
HOMC: A Hierarchical Clustering Algorithm Based on Optimal Low Rank Matrix Completion for Single Cell Analysis
The tremendous development of single-cell RNA sequencing (scRNA-seq) technology offers the promise of addressing cellular heterogeneity problem which cannot be addressed with bulk sequencing technologies. Howe...
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Chapter and Conference Paper
Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-contrast CT Images
Quantitative estimation of the acute ischemic infarct is crucial to improve neurological outcomes of the patients with stroke symptoms. Since the density of lesions is subtle and can be confounded by normal ph...
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Chapter and Conference Paper
Research on the Flexible Operation and Maintenance Management of Urban Rail Vehicle
The safety of urban rail vehicles is a crucial part in the operation of urban rail transit. Combining the concept of flexible management and the characteristics of urban rail vehicle operation and maintenance,...
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Chapter and Conference Paper
Bearing Fault Diagnosis Method Based on Graph Fourier Transform and C4.5 Decision Tree
Bearing is a key component of rail vehicles. Its operational status greatly affects the safety of passengers and cargo on the train. Therefore, it is especially important to find a fault diagnosis method suita...
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Chapter and Conference Paper
Empirical Wavelet Transform and Power Spectral Entropy for Rotating Machinery Fault Diagnosis
In order to extract the fault feature of rotating machines, a new method based on the empirical wavelet transform (EWT) and power spectral entropy (PSE) is proposed. EWT is introduced to first decompose the ra...
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Chapter and Conference Paper
Application of Foreign Matter Detection in EEF Bogie by Measuring Technology of Linear-Structure Light
Non-contact detection is safe and efficient and less used in railway safety detection. This paper proposes a greatly new detection system that combines non-contact detection with railway safety detection. Base...
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Chapter and Conference Paper
Maintenance Optimization Method Based on Service Status for Train Rolling Bearings
According to the current maintenance problems and the expectations of the operators, a fuzzy multi-objective maintenance model with the objectives of maximizing availability and minimizing cost under reliabili...
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Chapter and Conference Paper
Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation
Automatic dense parcellation of brain MR image, which labels hundreds of regions of interest (ROIs), plays an important role for neuroimage analysis. Specifically, the brain image parcellation using deep learn...
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Chapter and Conference Paper
A Method of Flange Size Measurement Based on Laser Displacement Sensor
Aiming at solving the problem of measuring urban rail train flange wear, an online non-contact measuring method of flange size based on 2D laser displacement sensor is proposed to timely monitor flange size. F...
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Chapter and Conference Paper
Reliability Analysis of Metro Vehicles Bogie System Based on Fuzzy Fault Tree
Metro vehicles bogie system is one of the important components of urban rail train. Its performance largely determines the vehicle running stability and safety. Accurately analyzing the reliability of urban ra...
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Chapter and Conference Paper
Rail Train Door System Hidden Danger Identification Based on Extended Time and Probability Petri Net
This paper proposes a hidden danger inference approach to solve the rail train door fault predicting problem. Based on Extended Time and Probability Petri Net (ETPPN) the door action process model is built and...
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Chapter and Conference Paper
Multi-resolution Correlation Entropy and Its Application on Rotating Machinery Vibration Signal Analysis
A new feature parameter of vibration signal used in rotating machinery fault diagnosis method is analyzed, and in this paper, it is named multi-resolution correlation entropy (MRCE). After extracting the rolli...
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Chapter and Conference Paper
Fault Decoupling Method of Railway Door System Based on the Extended Petri Net
Door system plays an important role in urban railway door system. Fault decoupling analysis and research of railway door system are of great significance for door system performance. This paper puts forward th...
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Chapter and Conference Paper
Train Rolling Bearing Degradation Condition Assessment Based on Local Mean Decomposition and Support Vector Data Description
For effective utilization of a large amount of vibration data which are collected during the normal operation of train rolling bearing, this paper puts forward a new method for rolling bearing degradation cond...
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Chapter and Conference Paper
A Fitting Method for Wheel Profile Line Based on Lagrange Multiplier
Lagrange multiplier method is proposed to extract wheel profile line accurately. First, the data measured by 2D laser sensors is divided into several sections. Second, the least squares fitting equations are e...
