Bangcheng Zhang
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View article: Reinforcement Learning Assisted Triboelectric Self‐Regulating Intelligent Transportation System
Reinforcement Learning Assisted Triboelectric Self‐Regulating Intelligent Transportation System Open
Real‐time vehicle detection and adaptive traffic signal timings control are essential for intelligent traffic management systems, aimed at improving road utilization and enhancing traffic safety. However, conventional traffic monitoring eq…
View article: Gyroscope‐Inspired Triboelectric Three‐Axis Acceleration Sensor for Vehicle Motion States Monitoring
Gyroscope‐Inspired Triboelectric Three‐Axis Acceleration Sensor for Vehicle Motion States Monitoring Open
With the rapid development of intelligent transportation systems (ITS), real‐time monitoring of vehicle motion state (sharp deceleration, sharp turn, etc.) is very important to improve road traffic safety and efficiency. However, the exist…
View article: Obstacle Avoidance Strategy and Path Planning of Medical Automated Guided Vehicles Based on the Bionic Characteristics of Antelope Migration
Obstacle Avoidance Strategy and Path Planning of Medical Automated Guided Vehicles Based on the Bionic Characteristics of Antelope Migration Open
Automated Guided Vehicles (AGVs) face dynamic and static obstacles in the process of transporting patients in medical environments, and they need to avoid these obstacles in real time. This paper proposes a bionic obstacle avoidance strate…
View article: Design of Steering Joint System Based on UG 3D Software and Intelligent Algorithm
Design of Steering Joint System Based on UG 3D Software and Intelligent Algorithm Open
View article: Discrete Data-Driven Position and Orientation Control for Redundant Manipulators with Jacobian Matrix Learning
Discrete Data-Driven Position and Orientation Control for Redundant Manipulators with Jacobian Matrix Learning Open
View article: Aviation fuel pump health state assessment based on evidential reasoning and random forests
Aviation fuel pump health state assessment based on evidential reasoning and random forests Open
As the power source of the engine, the Fuel Pump(FP) plays a vital role in the safe operation of the aircraft. Due to the complexity of the working mechanism of Aviation Fuel Pumps (AFP) and the strong correlation between the components, t…
View article: Sound Based Fault Diagnosis for Mechanical Components Based on Iceemdan and Fractional Multiscale Weighted Dispersion Entropy
Sound Based Fault Diagnosis for Mechanical Components Based on Iceemdan and Fractional Multiscale Weighted Dispersion Entropy Open
View article: Remaining Useful Life Estimation of Rolling Element Bearings Based on an Interpretable Feature Extraction Method
Remaining Useful Life Estimation of Rolling Element Bearings Based on an Interpretable Feature Extraction Method Open
View article: An Energy-Coupled Triboelectric Nanogenerator Based on Charge Pump for Wind and Water Environments
An Energy-Coupled Triboelectric Nanogenerator Based on Charge Pump for Wind and Water Environments Open
View article: An Energy-Coupled Triboelectric Nanogenerator Based on Charge Pump for Wind and Water Environments
An Energy-Coupled Triboelectric Nanogenerator Based on Charge Pump for Wind and Water Environments Open
View article: Thermal stress simulation and fatigue life of commercial vehicle disk brakes under emergency braking conditions
Thermal stress simulation and fatigue life of commercial vehicle disk brakes under emergency braking conditions Open
Commercial vehicle disk brakes operate at a high-temperature and in a heavy-load environment within the braking system. The primary cause of failure is the cracking of the brake disk. In order to study its fatigue damage and service life, …
View article: Research on Gearbox Fault Diagnosis Method Based on VMD and Optimized LSTM
Research on Gearbox Fault Diagnosis Method Based on VMD and Optimized LSTM Open
The reliability of gearboxes is extremely important for the normal operation of mechanical equipment. This paper proposes an optimized long short-term memory (LSTM) neural network fault diagnosis method. Additionally, a feature extraction …
View article: Aeroengine performance degradation prediction method considering operating conditions
Aeroengine performance degradation prediction method considering operating conditions Open
It is significant to predict the performance degradation of complex electromechanical systems.Among the existing performance degradation prediction models, belief rule base (BRB) is a model that deal with quantitative data and qualitative …
View article: Fault Diagnosis for Body-in-White Welding Robot Based on Multi-Layer Belief Rule Base
Fault Diagnosis for Body-in-White Welding Robot Based on Multi-Layer Belief Rule Base Open
Fault diagnosis for body-in-white (BIW) welding robots is important for ensuring the efficient production of the welding assembly line. As a result of the complex mechanism of the body-in-white welding robot, its strong correlation of comp…
View article: Health Status Evaluation of Welding Robots Based on the Evidential Reasoning Rule
Health Status Evaluation of Welding Robots Based on the Evidential Reasoning Rule Open
It is extremely important to monitor the health status of welding robots for the safe and stable operation of a body-in-white (BIW) welding production line. In the actual production process, the robot degradation rate is slow and the effec…
View article: Sound Based Fault Diagnosis for Mechanical Components Based on Iceemdan and Fractional Multiscale Weighted Dispersion Entropy
Sound Based Fault Diagnosis for Mechanical Components Based on Iceemdan and Fractional Multiscale Weighted Dispersion Entropy Open
View article: A noise-suppressing neural network approach for upper limb human-machine interactive control based on sEMG signals
A noise-suppressing neural network approach for upper limb human-machine interactive control based on sEMG signals Open
The use of upper limb rehabilitation robots to assist the affected limbs for active rehabilitation training is an inevitable trend in the field of rehabilitation medicine. In particular, the active motion intention-based control of the upp…
View article: Sound Based Fault Diagnosis Method Based on Variational Mode Decomposition and Support Vector Machine
Sound Based Fault Diagnosis Method Based on Variational Mode Decomposition and Support Vector Machine Open
In industry, it is difficult to obtain data for monitoring equipment operation, as mechanical and electrical components tend to be complicated in nature. Considering the contactless and convenient acquisition of sound signals, a method bas…
View article: CYBER 2022 Conference Committee
CYBER 2022 Conference Committee Open
View article: Study on Speed Transfer Characteristics of Double-deck ball bearing Based on Generalized Four-terminal Parameter Method
Study on Speed Transfer Characteristics of Double-deck ball bearing Based on Generalized Four-terminal Parameter Method Open
The speed transfer ratio is one of the most important parameters of the double-deck ball bearing. For the calculation of speed ratio, most of the theoretical estimation formulas related to the structure are used, but under some measured wo…
View article: A new model based on belief rule base and membership function (BRB-MF) for health state prediction in sensor
A new model based on belief rule base and membership function (BRB-MF) for health state prediction in sensor Open
Health state prediction is an effective way to improve the reliability for sensors. In the process of sensor degradation, it is difficult to obtain more effective monitoring data. And in the classification of health states, how to identify…
View article: Design and Inverse Kinematics Analysis of Wrist Parallel Rehabilitation Mechanism:A Rope Driven-based Method
Design and Inverse Kinematics Analysis of Wrist Parallel Rehabilitation Mechanism:A Rope Driven-based Method Open
庞在祥 1 张曦予 1 (1.长春工业大学机电工程学院 长春 130012； 2. 长春工程学院机械与汽车工程学院 长春 130012； 3. 北京大学工学院先进制造与机器人系 北京 100871)
View article: A New Fault Diagnosis Model for Circuits in Railway Vehicle Based on the Principal Component Analysis and the Belief Rule Base
A New Fault Diagnosis Model for Circuits in Railway Vehicle Based on the Principal Component Analysis and the Belief Rule Base Open
Circuits are considered an important part of railway vehicles, and circuit fault diagnosis in the railway vehicle is also a research hotspot. In view of the nonlinearity and diversity of track circuit components, as well as the diversity a…
View article: Health State Prediction of Aero-Engine Gas Path System Considering Multiple Working Conditions Based on Time Domain Analysis and Belief Rule Base
Health State Prediction of Aero-Engine Gas Path System Considering Multiple Working Conditions Based on Time Domain Analysis and Belief Rule Base Open
The gas path system is an important part of an aero-engine, whose health states can affect the security of the airplane. During the process of aircraft operation, the gas path system will have different working conditions over time, owing …
View article: A novel combination belief rule base model for mechanical equipment fault diagnosis
A novel combination belief rule base model for mechanical equipment fault diagnosis Open
Due to the excellent performance in complex systems modeling under small samples and uncertainty, Belief Rule Base (BRB) expert system has been widely applied in fault diagnosis. However, the fault diagnosis process for complex mechanical …
View article: Spot-welding Path Planning Method for Curved Surface Workpiece of Body-in-white Based on Memetic Algorithm
Spot-welding Path Planning Method for Curved Surface Workpiece of Body-in-white Based on Memetic Algorithm Open
Aiming at the problem of complex path planning in the processing of curved surface workpieces of body-in-white, a hybrid path planning method based on memetic algorithm is proposed. The method is divided into two parts, welding sequence pl…
View article: A New Projected Active Set Conjugate Gradient Approach for Taylor-Type Model Predictive Control: Application to Lower Limb Rehabilitation Robots With Passive and Active Rehabilitation
A New Projected Active Set Conjugate Gradient Approach for Taylor-Type Model Predictive Control: Application to Lower Limb Rehabilitation Robots With Passive and Active Rehabilitation Open
In this paper, a three-order Taylor-type numerical differentiation formula is firstly utilized to linearize and discretize constrained conditions of model predictive control (MPC), which can be generalized from lower limb rehabilitation ro…
View article: Health Assessment of High-Speed Train Running Gear System under Complex Working Conditions Based on Data-Driven Model
Health Assessment of High-Speed Train Running Gear System under Complex Working Conditions Based on Data-Driven Model Open
It is very important for the normal operation of high-speed trains to assess the health status of the running gear system. In actual working conditions, many unknown interferences and random noises occur during the monitoring process, whic…
View article: State-Degradation-Oriented Fault Diagnosis for High-Speed Train Running Gears System
State-Degradation-Oriented Fault Diagnosis for High-Speed Train Running Gears System Open
As one of the critical components of high-speed trains, the running gears system directly affects the operation performance of the train. This paper proposes a state-degradation-oriented method for fault diagnosis of an actual running gear…
View article: Design and Analysis of a Chinese Medicine Based Humanoid Robotic Arm Massage System
Design and Analysis of a Chinese Medicine Based Humanoid Robotic Arm Massage System Open
This paper presents a humanoid robotic arm massage system with an aim toward satisfying the clinical requirements of pain relief on the waist and legs of older patients during Chinese medicinal massage. On the basis of an in-depth analysis…