On the fault detection and diagnosis of railway switch and crossing systems: An overview

M Hamadache, S Dutta, O Olaby, R Ambur, E Stewart… - Applied Sciences, 2019 - mdpi.com
Railway switch and crossing (S&C) systems have a very complex structure that requires not
only a large number of components (such as rails, check rails, switches, crossings, turnout …

A comparative study of fault diagnosis for train door system: traditional versus deep learning approaches

S Ham, SY Han, S Kim, HJ Park, KJ Park, JH Choi - Sensors, 2019 - mdpi.com
A fault diagnosis of a train door system is carried out using the motor current signal that
operates the door. A test rig is prepared, in which various fault modes are examined by …

A novel health indicator for a linear motion guide based on the frequency energy tracking method

S Kim, SH Cho, H Ryu, JH Choi - Measurement, 2022 - Elsevier
Linear motion (LM) guides are widely used to provide linear motion in manufacturing lines.
To prevent the economic loss derived from unexpected failures, the health condition of an …

Integrated multiple-defect detection and evaluation of rail wheel tread images using convolutional neural networks

A Trilla, J Bob-Manuel, B Lamoureux… - … of Prognostics and …, 2021 - papers.phmsociety.org
The wheel-rail interface is regarded as the most important factor for the dynamic behaviour
of a railway vehicle, affecting the safety of the service, the passenger comfort, and the life of …

Machine health assessment based on an anomaly indicator using a generative adversarial network

HJ Park, S Kim, SY Han, S Ham, KJ Park… - International Journal of …, 2021 - Springer
In prognostics and health management, the absence of fault data is a challenge that hinders
practical applications in the field. When an absence occurs, the only option is to build a …

A hybrid fault diagnosis scheme for railway point machines by motor current signal analysis

KH Narges, M Ahmad… - Proceedings of the …, 2022 - journals.sagepub.com
Proper analysis of point machine current signal provides pervasive information of health
status of their internal components. Point machines are subjected to several failure modes …

An online data-driven predictive maintenance approach for railway switches

E Sousa Tomé, RP Ribeiro, B Veloso… - Joint European Conference …, 2022 - Springer
An online data-driven predictive maintenance approach for railway switches using data logs
obtained from the interlocking system of the railway infrastructure is proposed in this paper …

Penanganan Gangguan Gagal Balik Point Machine No. P1106 di Pocket Track LRT Jakarta Pada Saat Perawatan Menggunakan Metode FTA dan FMEA

R Avrellita, MD Puspitasari… - Jurnal Teknik …, 2023 - journal.universitaspahlawan.ac.id
2. METODE Untuk mencapai tujuan penelitian, peneliti menggunakan metode Fault Tree
Analysis (FTA) dan Failure Mode and Effect Analysis (FMEA). Metode FTA merupakan teknik …

Pendeteksi Kondisi Roda Gigi Motor Wesel Menggunakan K-Means

F Winjaya, APE Wibowo… - Innovative: Journal Of …, 2023 - j-innovative.org
Perawatan dan pemeriksaan penggerak wesel meliputi pemeriksaan kondisi roda gigi dan
pengukuran parameter untuk tegangan dan arus motor wesel. Kerusakan pada roda gigi …

[PDF][PDF] СОВЕРШЕНСТВОВАНИЕ АЛГОРИТМИЧЕСКОГО ОБЕСПЕЧЕНИЯ СИСТЕМ ТЕХНИЧЕСКОГО ДИАГНОСТИРОВАНИЯ И МОНИТОРИНГА УСТРОЙСТВ …

ДВ Ефанов - usurt.ru
Актуальность темы диссертационного исследования обусловлена тем, что на
полигонах магистральных железных дорог, железных дорог промышленных …