Essays about: "Logged Data"
Showing result 16 - 20 of 98 essays containing the words Logged Data.
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16. Sensor fusion for estimating vehicle chassis movement
University essay from KTH/FordonsdynamikAbstract : The aim of this thesis work is to investigate the possibility of applying a sensor fusion algorithm with a focus on estimating vehicle dynamic states, mainly the vehicle body accelerations. Modern passenger vehicles have several mechatronic systems such as active safety, comfort, driver assistance etc. READ MORE
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17. Predictive Maintenance of Construction Equipment using Log Data : A Data- centric Approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Construction equipment manufacturers want to reduce the downtime of their equipment by moving from the typical reactive maintenance to a predictive maintenance approach. They would like to define a method to predict the failure of the construction equipment ahead of time by leveraging the real- world data that is being logged by their vehicles. READ MORE
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18. Vehicle Usage Modelling Under Different Contexts
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Modern vehicles nowadays are equipped with highly sensitive sensors which continuously log in the information when the vehicle is in motion. These vehicles also deal with some performance issues like more fuel consumption, breakdown, or failure, etc. READ MORE
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19. Utilisation of maintenance information to gain predictability : An exploratory case study in the manufacturing industry, Volvo CE
University essay from Karlstads universitet/Institutionen för ingenjörsvetenskap och fysik (from 2013)Abstract : In today’s manufacturing industry, addressing maintenance functions is essential to increase effectiveness and productivity. With the present era of digitalisation and technology, all data is enabled to be shared and integrated within the organisations. READ MORE
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20. Time series prediction of web traffic data
University essay from Lunds universitet/Statistiska institutionenAbstract : In this thesis we predict web traffic intensity levels for 7 customers of a cybersecurity company. The models we predict with are a SARIMA model and a Temporal convolutional network. The quality of the predictions vary a lot between the different customers. The predictions improve when performed on data that is logged, demeaned and differenced. READ MORE