Sökning: "learning from accidents"

Visar resultat 16 - 20 av 39 avhandlingar innehållade orden learning from accidents.

  1. 16. Learning for safety in health care and air traffic control

    Författare :Sven Ternov; Ergonomi och aerosolteknologi; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Risk management; accident models; complex systems; health care; air traffic control; MTO analysis; DEB-analysis; proactive risk analysis.;

    Sammanfattning : Introduction Risk management in enterprises, organisations and companies has had a long and complicated history. During the eighties, and at least during the beginning of the nineties, the notion concerning risk management was that if an accident happened in an otherwise perfect system it was due to the human operator in some way being the cause of the error. LÄS MER

  2. 17. Sleep disturbances : Consequences and comorbidities

    Författare :Shadi Amid Hägg; Eva Lindberg; Mirjam Ljunggren; Göran Kecklund; Uppsala universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Insomnia; sleep; reflux; snoring; occupational accidents; smoking; hypertension; Lungmedicin; Lung Medicine;

    Sammanfattning : Background: Sleep disorders are common in the general population, with insomnia and sleep-related breathing disorders being the most common disorders. Since sleep has many important functions, such as a role in consolidation of memories and learning, energy conservation, cardiovascular and immune system regulation, it is not surprising that the disruption of normal sleep may lead to negative health effects and various comorbidities. LÄS MER

  3. 18. Sensors and Algorithms in Industry 4.0 : Security and Health Preservation Applications

    Författare :Dawid Gradolewski; Wlodek Kulesza; Sven Johansson; Alberto Rodriguez-Martinez; Blekinge Tekniska Högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Acoustic Sensor; Artificial Intelligence; Autonomisation; Classification; Detection; Feature Extraction; Health Preservation; Identification; Internet of Things; Machine Learning; Multi-Sensor System; Safety System; Vision System; Systemteknik; Systems Engineering;

    Sammanfattning : Globalisation and technological digitisation have triggered an Industry 4.0. revolution.  The core of this revolution is autonomisation of complex processes, which require expert knowledge. LÄS MER

  4. 19. Every Injured has a Story to Tell : analysing organisational preconditions for occupational accidents in the Swedish food industry

    Författare :Christina Stave; Institutionen för produkt- och produktionsutveckling Chalmers University of Technology; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Accident; Food; Industry; Occupation; V Medicine; V Medicine;

    Sammanfattning : The continuing high frequency of occupational accidents in the Swedish food industry calls for new approaches in order to identify and describe the underlying factors. In the present thesis, therefore, occupational accidents were investigated from the operator’s perspective, in order to explore the organisational preconditions. LÄS MER

  5. 20. Automated Squat Detection in Railway Switches & Crossings Using Vibration Measurements and Machine Learning

    Författare :Yang Zuo; Matti Rantatalo; Johan Odelius; Florian Thiery; Praneeth Chandran; Taoufik Najeh; João Carlos Elói De Jesus Pombo; Luleå tekniska universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Operation and Maintenance Engineering; Drift och underhållsteknik;

    Sammanfattning : Railway switches and crossings (S&Cs) play a vital role in the operational integrity of a railway network, and their malfunctioning poses substantial risks such as traffic disruptions, economic ramifications, and potential life-threatening accidents. Consequently, it becomes imperative to proactively identify potential defects in S&Cs at an early stage and maintain continuous monitoring of their condition to avoid adverse consequences. LÄS MER