Fangyi Wan
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View article: A decoupling method for solving the multi-agent path finding problem
A decoupling method for solving the multi-agent path finding problem Open
Many existing multi-agent path finding (MAPF) solvers focus on completeness, speed, or optimization. However, completeness and rapidity are usually in conflict with each other, which makes these algorithms far from satisfactory in practica…
View article: Influencing Pedestrians’ Route Choice Using Route Shape Simplification
Influencing Pedestrians’ Route Choice Using Route Shape Simplification Open
Pedestrians’ route choice is critical for several purposes, while deliberately changing map representations can influence map users’ route choice. Simplifying routes’ geometric shapes is one way to achieve this. However, the other geometri…
View article: Deep Belief Net-Based Fault Diagnosis of Flight Control System Sensors
Deep Belief Net-Based Fault Diagnosis of Flight Control System Sensors Open
The present study implements a model based on the deep belief net (DBN) into the sensor fault diagnosis of the flight control system. The principle of DBN system identification was adopted to simulate and establish a nonlinear observer of …
View article: Rotating machinery fault diagnosis based on convolutional neural network and infrared thermal imaging
Rotating machinery fault diagnosis based on convolutional neural network and infrared thermal imaging Open
Rotating machinery is widely applied in industrial applications. Fault diagnosis of rotating machinery is vital in manufacturing system, which can prevent catastrophic failure and reduce financial losses. Recently, Deep Learning (DL)-based…
View article: Multi-faults diagnosis of rolling bearings via adaptive customization of flexible analytical wavelet bases
Multi-faults diagnosis of rolling bearings via adaptive customization of flexible analytical wavelet bases Open
Multi-faults detection is a challenge for rolling bearings due to the mode mixture and coupling of multiple fault features, as well as its easy burying in the complex, non-stationary structural vibrations and strong background noises. In t…
View article: Outlier Detection for Monitoring Data Using Stacked Autoencoder
Outlier Detection for Monitoring Data Using Stacked Autoencoder Open
Monitoring data contain the important status information of the monitored object, and are the basis for following data mining and analysis. However, the monitoring data usually suffer the pollution of the outliers, leading to negative effe…
View article: Isolation and Identification of Compound Faults in Rotating Machinery via Adaptive Deep Filtering Technique
Isolation and Identification of Compound Faults in Rotating Machinery via Adaptive Deep Filtering Technique Open
Compound defects commonly occur on rotating machinery under fatigue and heavy loads, and their fault signatures are coupled and easily buried in strong unwanted vibrations and background noise. The isolation and identification of the compo…
View article: Complete synchronization of the global coupled dynamical network induced by Poisson noises
Complete synchronization of the global coupled dynamical network induced by Poisson noises Open
The different Poisson noise-induced complete synchronization of the global coupled dynamical network is investigated. Based on the stability theory of stochastic differential equations driven by Poisson process, we can prove that Poisson n…