Sökning: "Karl Selander"

Hittade 2 uppsatser innehållade orden Karl Selander.

  1. 1. Anomaly Detection using LSTM N. Networks and Naive Bayes Classifiers in Multi-Variate Time-Series Data from a Bolt Tightening Tool

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Karl-Filip Selander; [2021]
    Nyckelord :LSTM; anomaly detection; time-series; multi-variable; sensor; deep learning; LSTM; anomalidetektion; tidsserie; multivariabel; sensor; djupinlärning;

    Sammanfattning : In this thesis, an anomaly detection framework has been developed to aid in maintenance of tightening tools. The framework is built using LSTM networks and gaussian naive bayes  classifiers. The suitability of LSTM networks for multi-variate sensor data and time-series prediction as a basis for anomaly detection has been explored. LÄS MER

  3. 2. Automated Greenhouse

    Kandidat-uppsats, KTH/Maskinkonstruktion (Inst.)

    Författare :Adin Suta; Karl-Filip Selander; [2017]
    Nyckelord :;

    Sammanfattning : In agriculture, growing plants is usually done with soil asthe growing medium. An alternative method for soil is usinga hydroponic system with plants submerged in water. LÄS MER