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 …
passenger transportation in China. Under extreme loading and environmental conditions …
Automatic clustering-based approach for train wheels condition monitoring
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 …
wheel flats. This automatic damage identification algorithm is based on the acceleration …
Railway track fault detection using selective MFCC features from acoustic data
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 …
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
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 …
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
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 …
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
Natural hazards constantly threaten the sustainable construction and operation of railway
engineering facilities, making railway disaster risk assessment an essential approach to …
engineering facilities, making railway disaster risk assessment an essential approach to …
White blood cell classification using texture and RGB features of oversampled microscopic images
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 …
using microscopic images of WBC, which develop immunity to fight against infections and …
IoT based railway track faults detection and localization using acoustic analysis
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 …
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
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 …
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 …
keeps trains running safely. Railway point devices are actuators that move switchblades to …