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Showing result 1 - 5 of 114 essays matching the above criteria.
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1. Behavior Change Techniques in programs for Low Back Pain patients and the long term effects (6 months) on physical activity
University essay from Mälardalens universitet/Hälsa och välfärdAbstract : Background: Low Back Pain (LBP) presents a global health challenge. Physical activity (PA) is a standard component of LBP management. The maintenance of long-term PA adherence in LBP patients remains complex. READ MORE
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2. Reliability and Cost-Benefit Analysis of the Battery Energy Storage System
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The battery energy storage system (BESS) is crucial for the energy transition and decarbonisation of the energy sector. However, reliability assessment and capital cost challenges can hinder their widespread deployment. READ MORE
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3. Rapid expansion of roof mounted PV systems in commercial facilities - How can they be insured?
University essay from Lunds universitet/Riskhantering (CI); Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetAbstract : PV system components that are exposed to unmanageable strain can be overheated, which subsequently results in a fire ignition. Common failure factors are poor component quality, mechanical exposure due to natural phenomena and poor craftmanship. The underlying problem is that PV regulations are lacking in quality or are non-existent. READ MORE
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4. The Adoption of New and Used Electric Vehicles : The difference in the impact of financial factors for new vs. used electric vehicles
University essay from Blekinge Tekniska Högskola/Institutionen för industriell ekonomiAbstract : The growth of the market for electric vehicles (EVs) is increasing each year with record numbers of newly registered electric vehicles in 2022. Electric vehicles are considered the key component of a sustainable transportation sector. The knowledge of influential factors on purchase decisions for new EVs is high. READ MORE
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5. Machine learning for risk ranking of component failure : A comparative study of traditional- and survival machine learning approaches applied to historical data
University essay from Uppsala universitet/DatalogiAbstract : This master thesis investigates the use of machine learning for predicting and assessing the risk of railway vehicle component failures. Data used for failure prediction often comes with limitations due to the complex nature of maintenance or sometimes requires investments for the extraction of information. READ MORE