Search for dissertations about: "X2000"

Found 3 swedish dissertations containing the word X2000.

  2. 1. Onboard condition monitoring of vehicle-track dynamic interaction using machine learning : Enabling the railway industry’s digital transformation

    Author : Rohan Kulkarni; Mats Berg; Ulf Carlsson; Alireza Qazizadeh; Sebastian Stichel; Jordi Viñolas; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Active preventive maintenance; intelligent fault diagnosis; anomaly detection; vehicle fleet; track irregularities; vehicle hunting; wheel-rail interface.; Farkostteknik; Vehicle and Maritime Engineering;

    Abstract : The railway sector’s reliability, availability, maintainability, and safety (RAMS) can significantly improve by adopting condition based maintenance (CBM). In the CBM regime, maintenance decisions are driven by condition monitoring (CM) of the asset. READ MORE

  4. 2. Energy Consumption and Running Time for Trains : modelling of running resistance and driver behaviour based on full scale testing

    Author : Piotr Lukaszewicz; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Energy consumption; Running time; running resistance; driver behaviour; freight; train; energy coasting method; aerodynamic drag; driver model; degree of coasting; slippage; wind; Energy saving; braking ratio; powering ratio; full scale testing; Vehicle engineering; Farkostteknik;

    Abstract : The accuracy in determined energy consumption and runningtime of trains, by means of computer simulation, is dependent upon the various models used. This thesis aims at developing validated models of running resistance, train and of a generaldriver, all based on full scale testing. READ MORE

  5. 3. Intrinsic subtypes and prognostic implications in epithelial ovarian cancer

    Author : Jenny-Maria Jönsson; Bröstcancer-genetik; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; ovarian cancer; gene expression profiling; Lynch syndrome; targeted deep sequencing; chromatin remodeling; molecular subtypes; endocrine receptors; prognostic factors; tumor heterogeneity;

    Abstract : Ovarian cancer is the seventh most common cancer in women globally, with approximately 240,000 new cases annually. Although a rare disease, it is the most lethal gynecologic malignancy. Unspecific symptoms result in late diagnosis and a generally poor prognosis. READ MORE