A Review on Machine/Deep Learning Techniques Applied to Building Energy Simulation, Optimization and Management

F Villano, GM Mauro, A Pedace - Thermo, 2024 - mdpi.com
Given the climate change in recent decades and the ever-increasing energy consumption in
the building sector, research is widely focused on the green revolution and ecological …

Acoustic fault diagnosis of three-phase induction motors using smartphone and deep learning

A Glowacz, M Sulowicz, J Zielonka, Z Li… - Expert Systems with …, 2025 - Elsevier
Faults in induction motors can halt production lines in factories, leading to downtime and
resulting in production and economic losses. Therefore, it is crucial to ensure that motors …

Chaotic Jaya optimization algorithm with computer vision-based soil type classification for smart farming

H Alshahrani, HK Alkahtani, K Mahmood… - IEEE …, 2023 - ieeexplore.ieee.org
Smart farming helps to increase yield by smartly deciding the steps that should be practised
in the season. A few components of precision farming are recommending the crops for …

[PDF][PDF] Online gear wear particle detection and categorization using a convolutional neural network algorithm integrated with cascade classifier

KK Gupta, H Hirani, SM Muzakkir - Tribology in Industry, 2023 - tribology.rs
Most gears fail because of wear caused by rubbing, metal to metal contact, contamination, or
breakdown of lubrication. Because of this, figuring out how to find and sort wear debris …

[HTML][HTML] Image acquisition technology for unmanned aerial vehicles based on YOLO-Illustrated by the case of wind turbine blade inspection

Z Dai - Systems and Soft Computing, 2024 - Elsevier
Wind energy, as a renewable energy source, is becoming increasingly important. The
maintenance and damage detection of wind turbine blades are particularly crucial. For this …

Vibroacoustic signal-based diagnosis for rotor faults in large synchronous machines-an overview

R Ibrahim, A Tahan, B Kedjar… - 2023 6th …, 2023 - ieeexplore.ieee.org
The objective of this paper is to present an overview of how vibroacoustic signals can be
used to diagnose rotor faults in synchronous generator, specifically focusing on large …

From Segmentation to Classification: A Deep Learning Scheme for Sintered Surface Images Processing

Y Yang, T Chen, L Zhao - Processes, 2023 - mdpi.com
Effectively managing the quality of iron ore is critical to iron and steel metallurgy. Although
quality inspection is crucial, the perspective of sintered surface identification remains largely …

Thermal Images Captured and Classifier-based Fault Detection System for Electric Motors Through ML Based Model

N Mohamed, NK Baskaran, PP Patil… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Industrial applications frequently use induction motors. Therefore, it is crucial to keep an eye
on them throughout the operation and spot any faults to notify the operators and prevent …

[HTML][HTML] Fault Diagnosis of Unmanned Aerial Systems Using the Dempster–Shafer Evidence Theory

N Liu, Z Zhou, L Zhu, Y He, F Huang - Actuators, 2024 - mdpi.com
Unmanned aerial systems (UASs) find diverse applications across military, civilian, and
commercial sectors, including military reconnaissance, aerial photography, environmental …

A sound frequency ridge positioning model oriented to mine equipment

T Ye, T Peng, J Li - Journal of Vibration and Control, 2024 - journals.sagepub.com
The positioning of equipment sound frequency ridges is the foundation in monitoring the
state of mine equipment. However, existing models are difficult to identify equipment sound …