Essays about: "Load Classification"

Showing result 1 - 5 of 48 essays containing the words Load Classification.

  1. 1. Evaluating the quality of ultrasonic signals using machine learning : A comparative study on binary classification methods applied on ultrasonic chirp signals

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Fabian Revilla; [2023]
    Keywords : mechatronics; machine learning; ultrasonic; bolt-tightening; nutrunner; clamp force control; elongation control; pre-load control; cross-correlation; mekatronik; maskininlärning; ultraljud; skruvdragare; klämkraft; klämkraftsåtdragning; klämkraftsreglering; korskorrelation;

    Abstract : Advanced bolt-tightening tools such as automatic nutrunners are commonly used in industrial factories to streamline the assembly process. In safety-critical systems, it is crucialto control the tightening process. READ MORE

  3. 2. Estimating the load weight of freight trains using machine learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Erik Kongpachith; [2023]
    Keywords : Railway freight Transport; Rail Vehicle Weighing; Y25 Bogie; Sdggmrss T3000eD; GENSYS; Machine Learning; Regression; Polynomial Regression; Regression Trees; Random Forest Regression; Support Vector Regression; Järnvägsgods transport; Vägning av järnvägsfordon; Y25 Bogie; Sdggmrss T3000eD; GENSYS; Maskininlärning; Regression; Polynom Regression; Regressionsträd; Random Forest Regression; Support Vector Regression;

    Abstract : Accurate estimation of the load weight of freight trains is crucial for ensuring safe, efficient and sustainable rail freight transports. Traditional methods for estimating load weight often suffer from limitations in accuracy and efficiency. READ MORE

  4. 3. Load profiling and customer segmentation for demand-side management

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Anne Baril; [2023]
    Keywords : Smart meter data; TLP; customer segmentation; DSM; EE; D R; clustering; Data från smarta mätare; TLP; kundsegmentering; DSM; EE; D R; klustring;

    Abstract : The energy transition is accompanied by massive electrification of uses and sectors such as transport. As a result, the pressure on the electricity grid is increasing, and the time to connect to the power system is lengthening. READ MORE

  5. 4. Pre-classification of Hairy Cells Using Supervised Contrastive Learning

    University essay from Lunds universitet/Matematik LTH

    Author : Alexia Han; Rebecca Schömer Ericsson; [2022]
    Keywords : supervised contrastive learning; hairy cells; abnormal lymphocytes; deep learning; Cellavision; Xception; artificial neural network; convolutional neural networks; Mathematics and Statistics;

    Abstract : Differential of the peripheral blood is an important tool when assessing blood-related diseases. Lymphocytes are part of the immune system and morphological changes thereof should raise attention. READ MORE

  6. 5. Facilitating quality management through data mining

    University essay from Mälardalens universitet/Innovation och produktrealisering

    Author : Tommy Dahlström; [2022]
    Keywords : Quality management; Knowledge work; Data mining; Machine learning; Process development.;

    Abstract : In this report, the topics of quality management, knowledge work, and Lean Six Sigma areexplored with the objective of identifying potential improvements that could be facilitated byData mining methods. With the purpose of exploring the topic of knowledge extraction fromfree-text data to support decision-making in manufacturing operations from a qualitymanagement perspective. READ MORE