Non-destructive techniques for the condition and structural health monitoring of wind turbines: A literature review of the last 20 years

M Civera, C Surace - Sensors, 2022 - mdpi.com
A complete surveillance strategy for wind turbines requires both the condition monitoring
(CM) of their mechanical components and the structural health monitoring (SHM) of their …

WilDect-YOLO: An efficient and robust computer vision-based accurate object localization model for automated endangered wildlife detection

AM Roy, J Bhaduri, T Kumar, K Raj - Ecological Informatics, 2023 - Elsevier
Objective. With climatic instability, various ecological disturbances, and human actions
threaten the existence of various endangered wildlife species. Therefore, an up-to-date …

Adaptive transfer learning-based multiscale feature fused deep convolutional neural network for EEG MI multiclassification in brain–computer interface

AM Roy - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Abstract Objective. Deep learning (DL)-based brain–computer interface (BCI) in motor
imagery (MI) has emerged as a powerful method for establishing direct communication …

Thermographic fault diagnosis of electrical faults of commutator and induction motors

A Glowacz - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
In this paper, the author proposes a fault diagnosis technique for the analysis of thermal
images of commutator motors (CMs) and single-phase induction motors (SIMs). The aim of …

Data-driven prognostic scheme for bearings based on a novel health indicator and gated recurrent unit network

Q Ni, JC Ji, K Feng - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
The prognosis of bearings is vital for condition-based maintenance of rotating machinery.
This article proposes a systematic prognostic scheme for rolling element bearings. The …

Deep-learning-enabled predictive maintenance in industrial internet of things: methods, applications, and challenges

H Wang, W Zhang, D Yang, Y Xiang - IEEE Systems Journal, 2022 - ieeexplore.ieee.org
With the great evolution of human society from the information era to the smart automation
era, intelligent production and maintenance have become the core orientation of Industry …

Evaluation of the critical success factors of dynamic enterprise risk management in manufacturing SMEs using an integrated fuzzy decision-making model

D Zhu, Z Li, AR Mishra - Technological Forecasting and Social Change, 2023 - Elsevier
To succeed, a firm essentially needs to take the right amount of risk. Thus, the great
significance of risk management has attracted many researchers to focus on how to …

Accurate discharge coefficient prediction of streamlined weirs by coupling linear regression and deep convolutional gated recurrent unit

W Chen, D Sharifrazi, G Liang, SS Band… - Engineering …, 2022 - Taylor & Francis
Streamlined weirs, which are a nature-inspired type of weir, have gained tremendous
attention among hydraulic engineers, mainly owing to their established performance with …

An adaptive image segmentation network for surface defect detection

T Liu, Z He, Z Lin, GZ Cao, W Su… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Surface defect detection plays an essential role in industry, and it is challenging due to the
following problems: 1) the similarity between defect and nondefect texture is very high …

Pothole detection using deep learning: A real‐time and AI‐on‐the‐edge perspective

MH Asad, S Khaliq, MH Yousaf… - Advances in Civil …, 2022 - Wiley Online Library
Asphalt pavement distresses are the major concern of underdeveloped and developed
nations for the smooth running of daily life commute. Among various pavement failures …