A deep learning-based high-temperature overtime working alert system for smart cities with multi-sensor data
L Wang, Z Chen, H Zou, D Huang, Y Pan… - Nondestructive …, 2024 - Taylor & Francis
Prolonged heat exposure may cause various physiological responses to outdoor workers.
This will result in economic and productivity losses for a company and also may affect the …
This will result in economic and productivity losses for a company and also may affect the …
A reliability study on automated defect assessment in optical pulsed thermography
Nowadays, the reliability of data analysis and decision-making based on deep learning (DL)
remains a primary concern in promoting DL technology for industrial non-destructive testing …
remains a primary concern in promoting DL technology for industrial non-destructive testing …
Research progress on temperature field leakage detection of earth-rock dams and new exploration in leakage point detection
P Li, L Tang, S Zhang, P Ming, Y Wang… - … Testing and Evaluation, 2023 - Taylor & Francis
The use of temperature field to detect leakage in earth-rock dams has a low cost and high
efficiency, which is crucial to the safety of dams. This paper briefly introduces the principle of …
efficiency, which is crucial to the safety of dams. This paper briefly introduces the principle of …
[HTML][HTML] A Current Noise Cancellation Method Based on Fractional Linear Prediction for Bearing Fault Detection
K Xu, X Song - Sensors, 2023 - mdpi.com
The stator current in an induction motor contains a large amount of information, which is
unrelated to bearing faults. This information is considered as the noise component for the …
unrelated to bearing faults. This information is considered as the noise component for the …
Multi-rotational speed data augmentation and data repair of high-speed train wheelset bearings using graph speed classifier GAN
Z Ma, Z Yuan, X Li, S Liu, Y Chen - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Wheelset bearings fault samples of high-speed trains often suffer from insufficient numbers
and missing points. However, working conditions are one of the most important factors …
and missing points. However, working conditions are one of the most important factors …
Research on a Small-Sample Fault Diagnosis Method for UAV Engines Based on an MSSST and ACS-BPNN Optimized Deep Convolutional Network
S Li, Z Liu, Y Yan, K Han, Y Han, X Miao, Z Cheng… - Processes, 2024 - mdpi.com
Regarding the difficulty of extracting fault information in the faulty status of UAV (unmanned
aerial vehicle) engines and the high time cost and large data requirement of the existing …
aerial vehicle) engines and the high time cost and large data requirement of the existing …
Unmanned aerial vehicle fault diagnosis based on ensemble deep learning model
Q Huang, B Liang, X Dai, S Su… - … Science and Technology, 2024 - iopscience.iop.org
To address the problems of external interference during unmanned aerial vehicle (UAV)
flight and the low accuracy and weak generalization ability of the current single fault …
flight and the low accuracy and weak generalization ability of the current single fault …
A novel approach for one-step defect detection and depth estimation using sequenced thermal signal encoding
W Zheng, S Zhang, AM Omer, Z Wu, N Tao… - Nondestructive …, 2024 - Taylor & Francis
Pulsed thermography is a technique of significant interest in non-destructive testing,
particularly in defect detection and depth characterisation of composite materials. This study …
particularly in defect detection and depth characterisation of composite materials. This study …
Sensitivity Analysis of MEMS Accelerometer for the Vibration Measurement of VTOL UAV
A Alsalem, M Zohdy - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
The Vertical Take-Off and Landing (VTOL) UAV has attracted great attention due to the long
flight time and convenient take-off and landing. VTOLs are utilized in various military and …
flight time and convenient take-off and landing. VTOLs are utilized in various military and …
A CNN-based network with attention mechanism for autonomous crack identification on building facade
H Tang, Y Feng, S Xu, D Wang - Nondestructive Testing and …, 2024 - Taylor & Francis
This paper presents a rapid and precise deep learning-based approach for measuring
cracks in concrete structures. The proposed methodology involves data acquisition, pre …
cracks in concrete structures. The proposed methodology involves data acquisition, pre …