Essays about: "Condition Based Maintenance in Railway"

Showing result 1 - 5 of 13 essays containing the words Condition Based Maintenance in Railway.

  1. 1. Challenges in the Maintenance and Diagnostic Segment of Digital Asset Management in the Swedish Railway Industry

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Salam Adeeb; Marwan Ouali; [2023]
    Keywords : Railway Digital Asset Management; remote monitoring; condition-based maintenance; predictive maintenance; Digital tillgångsförvaltning; prediktivt underhåll; tillståndsbaserat underhåll; diagnostik;

    Abstract : Just like the rest of society, the use of digital technology has throughout the years become a more crucial part for train companies to improve performance, meet customer demands, improve operation and maintenance processes to increase efficiency and reliability. These solutions have through time developed to become part of a cluster named Digital Asset Management (DAM). READ MORE

  3. 2. Towards Condition-Based Maintenance of Catenary wires using computer vision : Deep Learning applications on eMaintenance & Industrial AI for railway industry

    University essay from Luleå tekniska universitet/Institutionen för samhällsbyggnad och naturresurser

    Author : Laila Moussallik; [2021]
    Keywords : eMaintenance; computer vision; Condition-Based Maintenance; Industrial AI; railway catenary system; automatic visual detection; health monitoring; Deep learning; Machine learning; Convolutional Neural Network; object detection.;

    Abstract : Railways are a main element of a sustainable transport policy in several countries as they are considered a safe, efficient and green mode of transportation. Owing to these advantages, there is a cumulative request for the railway industry to increase the performance, the capacity and the availability in addition to safely transport goods and people at higher speeds. READ MORE

  4. 3. Fault diagnosis of axlebox roller bearings of high speed rail vehicles based on empirical mode decomposition and machine learning

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : JOSUA KEHLENBACH; [2021]
    Keywords : Condition monitoring; axlebox bearings; machine learning; data fusion; Nyckelord: tillståndsövervakning; axelboxlager; maskininlärning; datafusion;

    Abstract : Axlebox bearings are one of the most critical components of a rail vehicle with regard to safety. An axlebox bearing that breaks during operation can be dangerous for the passengers and expensive for the operator. In-service failure of axlebox bearings has been the cause of many catastrophic accidents. READ MORE

  5. 4. A Machine Learning-Based Approach for Fault Detection of Railway Track and its Components

    University essay from Luleå tekniska universitet/Drift, underhåll och akustik

    Author : Johnny Asber; [2020]
    Keywords : Condition Based Maintenance in Railway; Machine Learning; Deep Learning; ResNet-50;

    Abstract : The hard equation of railway safety versus the high commercial profits can only be achieved through the use of new inspection methods supported by modern technologies. The track and its components can have different types of troubles, such as rail surface defects, broken sleepers, missing fasteners, and irregular ballast levels. READ MORE

  6. 5. Asset Management of Railway Tracks Using Stochastic Petri Nets

    University essay from Luleå tekniska universitet/Drift, underhåll och akustik

    Author : Jaya Kumari; [2019]
    Keywords : ;

    Abstract : Railways are one of the most important transport systems. It is crucial to have a rail network that is safe, reliable and available. Asset Management for railways involves the optimization of the maintenance activities based on asset condition, life cycle cost and availability of equipment. READ MORE