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Visar resultat 1 - 5 av 27 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Product Structures with Attribute Management for future PLM systems : A study for Ericsson BOM Management

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

    Författare :PAWAN RAJ SINGH; [2023]
    Nyckelord :PLM; BOM; PRIM; 3DX; Attribute; Widget; Product Structure; WoW; OOTB; PLM; BOM; PRIM; 3DX; Attribute; Widget; Product Structure; WoW; OOTB;

    Sammanfattning : Information Management in the database system for the Product Development process demands continuous evolution and digital transformation investigations with the PLM systems to explore the latest functionalities. Ericsson today has a main frame PDM system PRIM with various connected sub-systems to store the Product related data which serves limited functionality and does not fully track the complete lifecycle in the IT system landscape. LÄS MER

  3. 2. Improving Availability of the Pelletization Process

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälle

    Författare :Emil Andreasson; Pontus Åhman; [2022]
    Nyckelord :Availability; Predictive Maintenance; Pelletization; Statistical Process Control; Refractory Material; DMAIC;

    Sammanfattning : The Grate-Kiln-Cooler process is a commonly used method of sintering during iron ore pelletization, where the pellets are formed, dried, and hardened. The pellets are oxidized in the rotating Kiln, turning magnetite (Fe3O4) to hematite (Fe2O3), making the pellets attain suitable metallurgical attributes for further processing. LÄS MER

  4. 3. Contamination Level Detection of Hydraulic Pressure Filters in Forklifts : using only pump motor currents and load pressure measurements

    Master-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :Robert Sehlstedt; Erik Sellén; [2022]
    Nyckelord :forklift; contamination; level; fault; detection; hydraulic; pressure; filter; pump; motor; current; pressure; data; pdm; predictive; maintenance; rm; reactive; physical; model; modelling; models; moving; window; linear; regression; armature; mean; gaffeltruck; kontamineringsnivå; kontaminering; detektering; feldetektering; tryckfilter; hydraulikfilter; hydraulfilter; filter; pumpfilter; pump; motor; motorström; tryck; linjär; regression; linjärregression; fysikalisk; modellering; modell; armatur; genomsnittsvärde; fönster; data; datafönster;

    Sammanfattning : With the advent of Industry 4.0 and the Internet of Things, collecting data on Cyber-Physical systems has become the norm practice in large scale industries. By collectingrelevant data, it is possible to monitor the health status of whole systems or specificcomponents within them. LÄS MER

  5. 4. A Systematic Literature Review on Meta Learning for Predictive Maintenance in Industry 4.0

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Ahmet Fisenkci; [2022]
    Nyckelord :Meta-learning; Few-Shot; Predictive Maintenance; Industry 4.0; Fault detection; Fault Prognostics; Fault Diagnosis;

    Sammanfattning : Recent refinements in Industry 4.0 and Machine Learning demonstrate the positive effects of using deep learning models for intelligent maintenance. The primary benefit of Deep Learning (DL) is its capability to extract attributes and make fast, accurate, and automated predictions without supervision. LÄS MER

  7. 5. Data-Driven Predictive Maintenance for Industries

    Magister-uppsats, Lunds universitet/Institutionen för informatik

    Författare :Swapna Malagi; Sathya Ruba Selvaraj; [2021]
    Nyckelord :Data-driven Predictive Maintenance; TOE Framework; Implementation; Impacting Factor; Business and Economics;

    Sammanfattning : Due to the industry 4.0 paradigm shift, manufacturing and pro-duction industries are focusing on Predictive maintenance (PdM) to increase production efficiency and maintenance strategies. Also, adopting data-driven approaches to implement PdM as a result of increased data usage and exchange. However, facing technical and non-technical challenges. LÄS MER