Sökning: "Stefan Byttner"

Visar resultat 1 - 5 av 6 avhandlingar innehållade orden Stefan Byttner.

  1. 1. Real-time control of an SI engine using ion current based algorithms

    Författare :Stefan Byttner; Jean-Pierre Robert Haphout; Högskolan i Halmstad; []
    Nyckelord :Internal Combustion Engines; Neural Networks; Ion Current;

    Sammanfattning : Reducing emissions and improving fuel efficiency in automobiles are today important issues. New sensor techniques are developed to extract detailed combustion information to enable closed loop engine control. LÄS MER

  2. 2. Algorithms for ion current based sensing of combustion variability and pressure peak position

    Författare :Stefan Byttner; Josef Bigun; Högskolan i Halmstad; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; SI engines; Combustion variability; Ion currents; Location of pressure peak; Exhaust Gas Recirculation; Electronic engine control;

    Sammanfattning : .... LÄS MER

  3. 3. Self-Monitoring using Joint Human-Machine Learning : Algorithms and Applications

    Författare :Ece Calikus; Sławomir Nowaczyk; Onur Dikmen; Stefan Byttner; Rita Ribeiro; Högskolan i Halmstad; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; self-monitoring; anomaly detection; machine learning;

    Sammanfattning : The ability to diagnose deviations and predict faults effectively is an important task in various industrial domains for minimizing costs and productivity loss and also conserving environmental resources. However, the majority of the efforts for diagnostics are still carried out by human experts in a time-consuming and expensive manner. LÄS MER

  4. 4. Together We Learn More : Algorithms and Applications for User-Centric Anomaly Detection

    Författare :Ece Calikus; Sławomir Nowaczyk; Onur Dikmen; Stefan Byttner; Evgeny Burnaev; Högskolan i Halmstad; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; data mining; machine learning; anomaly detection; Smart Cities and Communities; Smarta städer och samhällen;

    Sammanfattning : Anomaly detection is the problem of identifying data points or patterns that do not conform to normal behavior. Anomalies in data often correspond to important and actionable information such as frauds in financial applications, faults in production units, intrusions in computer systems, and serious diseases in patient records. LÄS MER

  5. 5. Towards conformal methods for large-scale monitoring of district heating substations

    Författare :Shiraz Farouq; Stefan Byttner; Mohamed-Rafik Bouguelia; Henrik Gadd; Harris Papadopoulos; Högskolan i Halmstad; []

    Sammanfattning : Increasing technical complexity, design variations, and customization options of IoT units create difficulties for the construction of monitoring infrastructure. These units can be associated with different domains, such as a fleet of vehicles in the mobility domain and a fleet of heat-pumps in the heating domain. LÄS MER