Chengjin Qin
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View article: Gas–Solid Coupling Dynamic Modeling and Transverse Vibration Suppression for Ultra-High-Speed Elevator
Gas–Solid Coupling Dynamic Modeling and Transverse Vibration Suppression for Ultra-High-Speed Elevator Open
When in operation, ultra-high-speed elevators encounter transverse vibrations due to uneven guide rails and airflow disturbances, which can greatly undermine passenger comfort. To alleviate these adverse effects and boost passenger comfort…
View article: YOLO11-ARAF: An Accurate and Lightweight Method for Apple Detection in Real-World Complex Orchard Environments
YOLO11-ARAF: An Accurate and Lightweight Method for Apple Detection in Real-World Complex Orchard Environments Open
Accurate object detection is a fundamental component of autonomous apple-picking systems. In response to the insufficient recognition performance and poor generalization capacity of existing detection algorithms under unstructured orchard …
View article: An Optimized Fractional-Order PID Horizontal Vibration Control Approach for a High-Speed Elevator
An Optimized Fractional-Order PID Horizontal Vibration Control Approach for a High-Speed Elevator Open
Due to factors such as uneven guide rails and airflow disturbance in the hoistway, high-speed elevators may experience significant vibrations during operation. This paper proposes an optimized fractional-order PID (FOPID) method to suppres…
View article: Table Tennis Track Detection Based on Temporal Feature Multiplexing Network
Table Tennis Track Detection Based on Temporal Feature Multiplexing Network Open
Recording the trajectory of table tennis balls in real-time enables the analysis of the opponent’s attacking characteristics and weaknesses. The current analysis of the ball paths mainly relied on human viewing, which lacked certain theore…
View article: Anti‐noise diesel engine misfire diagnosis using a multi‐scale CNN‐LSTM neural network with denoising module
Anti‐noise diesel engine misfire diagnosis using a multi‐scale CNN‐LSTM neural network with denoising module Open
Currently, accuracy of existing diesel engine fault diagnosis methods under strong noise and generalisation performance between different noise levels are still limited. A novel multi‐scale CNN‐LSTM neural network (MSCNN‐LSTMNet) is propos…
View article: Geological information prediction for shield machine using an enhanced multi-head self-attention convolution neural network with two-stage feature extraction
Geological information prediction for shield machine using an enhanced multi-head self-attention convolution neural network with two-stage feature extraction Open
Due to the closed working environment of shield machines, the construction personnel cannot observe the construction geological environment, which seriously restricts the safety and efficiency of the tunneling process. In this study, we pr…
View article: Detection of Green Asparagus Using Improved Mask R-CNN for Automatic Harvesting
Detection of Green Asparagus Using Improved Mask R-CNN for Automatic Harvesting Open
Advancements in deep learning and computer vision have led to the discovery of numerous effective solutions to challenging problems in the field of agricultural automation. With the aim to improve the detection precision in the autonomous …
View article: Multiple high-regional-incidence cardiac disease diagnosis with deep learning and its potential to elevate cardiologist performance
Multiple high-regional-incidence cardiac disease diagnosis with deep learning and its potential to elevate cardiologist performance Open
Currently, due to lack of large-scale datasets containing multiple arrhythmias and acute coronary syndrome-related diseases, AI-aided diagnosis for cardiac diseases is limited in clinical scenarios. Whether AI-based ECG diagnosis can assis…
View article: Failure Warning of Harmonic Reducer Based on Power Prediction
Failure Warning of Harmonic Reducer Based on Power Prediction Open
—Harmonic reducer is the core component of industrial robots. During its operation, the power signal is a key parameter that embodies the performance of the harmonic reducer. Therefore, accurate power prediction of the harmonic reducer has…
View article: A Novel A-CNN Method for TBM Utilization Factor Estimation
A Novel A-CNN Method for TBM Utilization Factor Estimation Open
Utilization factor is one of the most important performance indicators of TBM, which affects the construction period and cost of the tunnel. However, there are few models to evaluate the utilization factor based on geological conditions an…
View article: Simulation of Aircraft Anti-skiding Braking System Considering Dynamic Contact Force between Road and Wheels
Simulation of Aircraft Anti-skiding Braking System Considering Dynamic Contact Force between Road and Wheels Open
Aircraft anti-skidding braking system (ABS) was a nonlinear mechatronics system influenced by various factors. The road-wheel friction was one of the key factors affect system dynamics, which depends both on vertical contact force and skid…
View article: A Multi-Physics Modeling-Based Vibration Prediction Method for Switched Reluctance Motors
A Multi-Physics Modeling-Based Vibration Prediction Method for Switched Reluctance Motors Open
Currently, vibration has been one crucial factor hindering the application of switched reluctance motor (SRM). Hence, it is of crucial importance to predict and suppress this undesirable vibration. This paper proposes a multi-physics analy…
View article: A pre-generated matrix-based method for real-time robotic drilling chatter monitoring
A pre-generated matrix-based method for real-time robotic drilling chatter monitoring Open
Currently, due to the detrimental effects on surface finish and machining system, chatter has been one crucial factor restricting robotic drilling operations, which improve both quality and efficiency of aviation manufacturing. Based on th…
View article: Intelligent Fault Diagnosis of Diesel Engines via Extreme Gradient Boosting and High-Accuracy Time–Frequency Information of Vibration Signals
Intelligent Fault Diagnosis of Diesel Engines via Extreme Gradient Boosting and High-Accuracy Time–Frequency Information of Vibration Signals Open
Accurate and timely misfire fault diagnosis is of vital significance for diesel engines. However, existing algorithms are prone to fall into model over-fitting and adopt low energy-concentrated features. This paper presents a novel extreme…
View article: Fault Diagnosis of Induction Motors Using Recurrence Quantification Analysis and LSTM with Weighted BN
Fault Diagnosis of Induction Motors Using Recurrence Quantification Analysis and LSTM with Weighted BN Open
Motor fault diagnosis has gained much attention from academic research and industry to guarantee motor reliability. Generally, there exist two major approaches in the feature engineering for motor fault diagnosis: (1) traditional feature l…
View article: Domain Adaptive Motor Fault Diagnosis Using Deep Transfer Learning
Domain Adaptive Motor Fault Diagnosis Using Deep Transfer Learning Open
Motor fault diagnosis based on deep learning frameworks has gained much attention from academic research and industry to guarantee motor reliability. Those methods are commonly under two default assumptions: 1) massive labeled training sam…
View article: Milling Stability Prediction with Multiple Delays via the Extended Adams‐Moulton‐Based Method
Milling Stability Prediction with Multiple Delays via the Extended Adams‐Moulton‐Based Method Open
The occurrence of machining chatter may undermine the workpiece surface quality, accelerate the tool wear, and even result in serious damage to the machine tools. Consequently, it is of great importance to predict and eliminate the presenc…