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Showing result 16 - 20 of 606 essays matching the above criteria.

  1. 16. Virtual Sensing for Cluster Vacuum Control

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

    Author : Carl Egenäs; Axel Sacilotto; [2023]
    Keywords : ;

    Abstract : The purpose of this project was to develop a virtual sensing model in order to estimate the vacuum level in the milking cluster with data collected further along the milk tube. Measuring the cluster vacuum level is desirable for many applications, such as control and monitoring, but due to the cow's tendency to kick, chew and stomp on anything within reach, placing a sensor in or close to the cluster is both difficult and impractical. READ MORE

  3. 17. Utilizing Transformers with Domain-Specific Pretraining and Active Learning to Enable Mining of Product Labels

    University essay from Uppsala universitet/Avdelningen för beräkningsvetenskap

    Author : Erik Norén; [2023]
    Keywords : Machine Learning; Natural Language Processing; NLP; BERT; Active Learning; AL; Pharmacovigilance; UMC; Uppsala Monitoring Centre; Structured Product Label; SPL; Transformers; Domain-Specific Pretraining; NER; Named Entity Recognition; Adverse Drug Reaction; ADR;

    Abstract : Structured Product Labels (SPLs), the package inserts that accompany drugs governed by the Food and Drugs Administration (FDA), hold information about Adverse Drug Reactions (ADRs) that exists associated with drugs post-market. This information is valuable for actors working in the field of pharmacovigilance aiming to improve the safety of drugs. READ MORE

  4. 18. Mapping of Dependent Structural Responses on a Prestressed Concrete Bridge using Machine Learning Regression Analysis and Historical Data : A Comparison of Different Non-linear Regression Approaches

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Vedad Coric; [2023]
    Keywords : Prestressed Concrete Bridges; Structural health Monitoring; Machine Learning; Regression analysis; Infrastructure management;

    Abstract : Prestressed concrete bridges are susceptible to deterioration over time which might significantly affect their capacity and overall performance. In previous decades, infrastructure owners have found that continuous monitoring of these assets is a valuable tool for their management as it facilitates the decision-making process regarding the intervention strategies required. READ MORE

  5. 19. Adaptive Model-Based Temperature Monitoring for Electric Powertrains : Investigation and Comparative Analysis of Transfer Learning Approaches

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

    Author : Chenzhou Huang; [2023]
    Keywords : Transfer Learning; Condition Monitoring; Domain Adaptation; Neural Network; Powerstrain.; Siirto-oppiminen; kunnonvalvonta; verkkotunnuksen mukauttaminen; neuroverkko; voimansiirto.; Överföring lärande; tillståndsövervakning; domänanpassning; neuralt nätverk; Powerstrain;

    Abstract : In recent years, deep learning has been widely used in industry to solve many complex problems such as condition monitoring and fault diagnosis. Powertrain condition monitoring is one of the most vital and complicated problems in the automation industry since the condition of the drive affects its health, performance, and reliability. READ MORE

  6. 20. The Application of Multivariate Statistical Process Control during Industrial Hot Isostatic Pressing Sintering Processes : A Case study at Seco Tools AB

    University essay from Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälle

    Author : Karl Ericsson; [2023]
    Keywords : Multivariate statistical process control; Batch processes; Quality prediction;

    Abstract : This Master's thesis focuses on improving the understanding and monitoring of the Hot Isostatic Pressing (HIP) sintering process used by Seco Tools AB to manufacture cemented carbides for cutting tools. While essential for producing cutting tools with superior hardness and toughness the HIP sintering process introduces a complex relationship between the selected process parameters and the achieved materials properties. READ MORE