Weize Shang

Multi-aircraft mission decision based on discrete gorilla troop optimization algorithm

Jingwei Yu, Jia Song, Weize Shang

cn (code pays fourni par la source)

Geo-ConvGRU: Geographically Masked Convolutional Gated Recurrent Unit for Bird-Eye View Segmentation

Guanglei Yang, Yongqiang Zhang, Wanlong Li, Yu Tang et autres

Convolutional Neural Networks (CNNs) have significantly impacted various computer vision tasks, however, they inherently struggle to model long-range dependencies explicitly due to the localized nature of convolution operations. Although Transformers have addressed limitations in long-range dependencies for the spatial dimension, the temporal …

Fault Diagnosis Using Channelized Encoder-Decoder Frame for Distributed Redundant Inertial Navigation System

Wu Bingyang, Jia Song, Chaoyue Zhao, Yunlong Hu et autres

Device redundancy measurement systems (DRMS) are gaining popularity in most industrial scenarios. In the area of unmanned aerial vehicles (UAVs), DRMS can provide measurement data from various maneuvering channels and increase the reliability of upper level systems notably. Most fault diagnosis studies …

cn (code pays fourni par la source)

Small Sample Fault Diagnosis Based on Intrinsic Characteristic Encouraged Network for Unmanned Aerial Vehicle Sensors

Jia Lin Song, Wu Bingyang, Chaoyue Zhao, Weize Shang et autres

Fault detection and classification (FDC) of industrial sensors are commonly featured with rare fault cases and demanding diagnostic accuracy. Data-driven diagnostic strategies including signal processing and neural networks prove to be more prominent compared to traditional ways. Most data-driven studies on fault …

cn (code pays fourni par la source)

Fault location and separation method of Distributed Inertial Measurement Units based on IAC

Jia Song, Weize Shang, Boxuan Wu, Shaojie Ai

With the development of unmanned technology, Distributed Inertial Measurement Units (DIMU) play an increasingly important role in Unmanned Aerial Vehicles (UAV). The large number of sensors and high data redundancy of DIMU bring huge challenges to its fault location and separation. However, …

cn (code pays fourni par la source)

Model and Data-Driven Combination: A Fault Diagnosis and Localization Method for Unknown Fault Size of Quadrotor UAV Actuator Based on Extended State Observer and Deep Forest

Jia Lin Song, Weize Shang, Shaojie Ai, Kai Zhao

The rotor is an essential actuator of quadrotor UAV, and is prone to failure due to high speed rotation and environmental disturbances. It is difficult to diagnose rotor faults and identify the fault localization simultaneously. In this paper, we propose a fault …

cn (code pays fourni par la source)

Fault Diagnosis and Location of Quadrotor UAV Actuator based on ESO-DF

Weize Shang, Jia Song, Shaojie Ai, Kai Zhao

The reliability of the quadrotor UAV is the basic guarantee for its mission execution. Under the condition of frequent maneuvering, the actuators of quadrotor UAV are prone to fault. For the fault diagnosis of the quadrotor UAV, the existing schemes either only …

cn (code pays fourni par la source)

Fault Diagnosis of the Four-Rotor Unmanned Aerial Vehicle using the Optimized Deep Forest Algorithm based on the Wavelet Packet Translation

Shaojie Ai, Weize Shang, Jia Lin Song, Guobiao Cai

In this paper, the diagnostic issues for the four-rotor unmanned aerial vehicle (UAV) with the sensor fault, the actuator fault and the composite fault are considered. Existing data-driven methods mostly present drawbacks of structural complexity and insufficient generalization ability. Therefore, a novel …

cn (code pays fourni par la source)