A Novel AI-Based Method for Spur Gear Early Fault Diagnosis in Railway Gearboxes
Küçük Resim Yok
Tarih
2020
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Artificial intelligence (AI) applications have started to take place in our lives due to increasing data collection and processing capabilities with developing technology. In this regard, AI-based early fault diagnosis technologies, which have started to gain reliability in automotive, aviation, and wind turbine fields, have begun to use for railway gearboxes in terms of defect detection and predictive maintenance. Gears are one of the most significant components of powertrain systems. The AIbased fault diagnosis has become more prominent in recent years to predict the remaining useful life of gearbox systems. The gearbox early fault diagnosis plays an important role in both security and reducing high maintenance costs. This issue is of great importance in terms of rail vehicle safety and reliability in a medium to long term perspective. This paper deals with an approach of transferability to railway gearboxes of AI-based gear early fault diagnosis methods from other industries. A vibration-based early fault diagnosis approach and test setup are proposed for railway gearboxes. Early gear crack diagnosis is performed using MATLAB with machine learning algorithms. The proposed test setup allows different degrees of tooth cracks in railway gearboxes to be detected at different operating speeds. As a result, it is observed that the proposed AI-based approach is suitable to identify railway gearbox faults and can be adaptable in rail-based transportation systems. © 2020 IEEE.
Açıklama
2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020 -- 15 October 2020 through 17 October 2020 -- -- 165305
Anahtar Kelimeler
artificial intelligence, fault diagnosis, gearbox, railway
Kaynak
Proceedings - 2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020
WoS Q Değeri
Scopus Q Değeri
N/A
