Sökning: "Rail maintenance safety"

Visar resultat 1 - 5 av 21 uppsatser innehållade orden Rail maintenance safety.

  1. 1. Condition monitoring of a linear rail and carriage system through vibration analysis

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Johan Hultenheim; [2023]
    Nyckelord :;

    Sammanfattning : Condition-based maintenance is a highly relevant topic as its implementation can save both components and man-hours. Downtime is often expensive in industrial environments because machines are expensive investments; often, the machines are also part of a larger production line where it is of great importance that no bottlenecks occur. LÄS MER

  3. 2. Application of formal verification and validation on modern multi-functional signalling system

    Master-uppsats, KTH/Transportplanering

    Författare :Shamsul Arefin; [2022]
    Nyckelord :;

    Sammanfattning : Demand for rail transport is increasing day by day. Rail is popular in public transport due to punctuality, regularity, and safety. However, we hear daily that rail traffic still has many problems to solve about incidents, near misses, and signal errors. LÄS MER

  4. 3. Run-time Anomaly Detection with Process Mining: Methodology and Railway System Compliance Case-Study

    Magister-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Francesco Vitale; [2021]
    Nyckelord :Anomaly Detection; Autonomous Maintenance; Cyber-Physical Systems; Internet of Things; Data science; Process science; Process Mining; Conformance Checking; ERTMS ETCS;

    Sammanfattning : Detecting anomalies in computer-based systems, including Cyber-Physical Systems (CPS), has attracted a large interest recently. Behavioral anomalies represent deviations from what is regarded as the nominal expected behavior of the system. Both Process science and Data science can yield satisfactory results in detecting behavioral anomalies. LÄS MER

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

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

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

    Sammanfattning : 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. LÄS MER

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

    Master-uppsats, Luleå tekniska universitet/Drift, underhåll och akustik

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

    Sammanfattning : 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. LÄS MER