Optical fiber sensors for monitoring railway infrastructures: A review towards smart concept

YW Sasy Chan, HP Wang, P **ang - Symmetry, 2021 - mdpi.com
Railway infrastructures have played a critical role to ensure the continuity of goods and
passenger transportation in China. Under extreme loading and environmental conditions …

Automatic clustering-based approach for train wheels condition monitoring

A Mosleh, A Meixedo, D Ribeiro… - … Journal of Rail …, 2023 - Taylor & Francis
The main goal of this paper is to present an unsupervised methodology to identify railway
wheel flats. This automatic damage identification algorithm is based on the acceleration …

Railway track fault detection using selective MFCC features from acoustic data

F Rustam, A Ishaq, MSA Hashmi, HUR Siddiqui… - Sensors, 2023 - mdpi.com
Railway track faults may lead to railway accidents and cause human and financial loss.
Spatial, temporal, and weather elements, and wear and tear, lead to ballast, loose nuts …

Railway track inspection using deep learning based on audio to spectrogram conversion: An on-the-fly approach

MSA Hashmi, M Ibrahim, IS Bajwa, HUR Siddiqui… - Sensors, 2022 - mdpi.com
The periodic inspection of railroad tracks is very important to find structural and geometrical
problems that lead to railway accidents. Currently, in Pakistan, rail tracks are inspected by …

Bee detection in bee hives using selective features from acoustic data

F Rustam, MZ Sharif, W Aljedaani, E Lee… - Multimedia Tools and …, 2024 - Springer
Honeybees, a key pollinator of the world's most cultivated crops, are experiencing colony
collapses due to a variety of factors. The existence of honeybees and queens is critical to the …

Disaster Risk Assessment for Railways: Challenges and a Sustainable Promising Solution Based on BIM+ GIS

Y Cao, H Lan, L Li - Sustainability, 2023 - mdpi.com
Natural hazards constantly threaten the sustainable construction and operation of railway
engineering facilities, making railway disaster risk assessment an essential approach to …

White blood cell classification using texture and RGB features of oversampled microscopic images

F Rustam, N Aslam, I De La Torre Díez, YD Khan… - Healthcare, 2022 - mdpi.com
White blood cell (WBC) type classification is a task of significant importance for diagnosis
using microscopic images of WBC, which develop immunity to fight against infections and …

IoT based railway track faults detection and localization using acoustic analysis

HUR Siddiqui, AA Saleem, MA Raza, K Zafar… - IEEE …, 2022 - ieeexplore.ieee.org
Rail is one of the most energy efficient and economical modes of transportation. Regular
railway track health inspection is an essential part of a robust and secure train operation …

ECARRNet: An Efficient LSTM-Based Ensembled Deep Neural Network Architecture for Railway Fault Detection

SI Eunus, S Hossain, AEM Ridwan, A Adnan, MS Islam… - AI, 2024 - mdpi.com
Accidents due to defective railway lines and derailments are common disasters that are
observed frequently in Southeast Asian countries. It is imperative to run proper diagnosis …

Generative adversarial network-based fault diagnosis model for railway point machine in sustainable railway transportation

X Han, N Zhao - International Journal of Sensor Networks, 2023 - inderscienceonline.com
The railway point machine is a significant element of railway signalling equipment that
keeps trains running safely. Railway point devices are actuators that move switchblades to …