Sökning: "Moksadur Rahman"

Hittade 2 avhandlingar innehållade orden Moksadur Rahman.

  1. 1. On a learning system for industrial automation : Model-based control and diagnostics for decision support

    Författare :Moksadur Rahman; Konstantinos Kyprianidis; Anders Avelin; Gunnar Bengtsson; John Hedengren; Mälardalens högskola; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Learning system; Supervisory system; Pulp and paper; Micro gas turbine; Process modelling; Model-based control; Diagnostics; Decision support; Anomaly detection; Fault detection; Energy- and Environmental Engineering; energi- och miljöteknik;

    Sammanfattning : Access to energy is fundamental to economic and technological advancement. Hence, the more the world develops, the greater the demand for energy becomes. Evidently, the production and consumption of energy alone account for more than 80% of global anthropogenic greenhouse gas (GHG) emissions. LÄS MER

  2. 2. Towards a learning system for process and energy industry : Enabling optimal control, diagnostics and decision support

    Författare :Moksadur Rahman; Konstantinos Kyprianidis; Anders Avelin; Bengtsson Gunnar; Agostino Gambarotta; Mälardalens högskola; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Learning system; Supervisory system; Pulp and paper; Micro gas turbine; Process modelling; Model-based control; Diagnostics; Decision support; Anomaly detection; Fault detection; Energy- and Environmental Engineering; energi- och miljöteknik;

    Sammanfattning : Driven by intense competition, increasing operational cost and strict environmental regulations, the modern process and energy industry needs to find the best possible way to adapt to maintain profitability. Optimization of control and operation of the industrial systems is essential to satisfy the contradicting objectives of improving product quality and process efficiency while reducing production cost and plant downtime. LÄS MER