Essays about: "prediktivt underhåll"

Showing result 1 - 5 of 28 essays containing the words prediktivt underhåll.

  1. 1. Data analysis for predictive maintenance and potential challenges associated with the technology integration of steel industry machines.

    University essay from Högskolan i Gävle/Elektronik

    Author : Pradip Nath; [2024]
    Keywords : Data Science; Data processing; Industrial Manufacturing; System Identification; Predictive maintenance; Conditional monitoring; Statistical Analysis; Signal processing; Hydraulic System; IoT; Sustainable Maintenance; Data vetenskap; Databehandling; Industriell tillverkning; System identifiering; Prediktivt underhåll; Tillståndsövervakning; Statistisk analys; Signal behandling;

    Abstract : The recharge is the focus of data analysis of the different situations with the integration of the system and development of the two-stage 2/2 proportional cartridge valve for the steel industry machine. Using the statistical analysis technique to visualize the valve signal data behavior identify the accuracy of the machine data and apply the statistical feature extracting model using classification and clustering algorithms of real-time data analysis for the manufacturing. READ MORE

  3. 2. Challenges in the Maintenance and Diagnostic Segment of Digital Asset Management in the Swedish Railway Industry

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

    Author : Salam Adeeb; Marwan Ouali; [2023]
    Keywords : Railway Digital Asset Management; remote monitoring; condition-based maintenance; predictive maintenance; Digital tillgångsförvaltning; prediktivt underhåll; tillståndsbaserat underhåll; diagnostik;

    Abstract : Just like the rest of society, the use of digital technology has throughout the years become a more crucial part for train companies to improve performance, meet customer demands, improve operation and maintenance processes to increase efficiency and reliability. These solutions have through time developed to become part of a cluster named Digital Asset Management (DAM). READ MORE

  4. 3. Supervised Algorithm for Predictive Maintenance

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

    Author : Haida Lu; [2023]
    Keywords : Long short-term memory; Predictive maintenance; Remaining useful life; Embedded Artificial Intelligence; Långt korttidsminne; förebyggande underhåll; återstående livslängd; inbyggd artificiell intelligens;

    Abstract : Predictive maintenance plays a crucial role in preventing unexpected equipment failures and maintaining assets in good operating conditions in various systems. One such scenario where predictive maintenance has been widely used is in battery management systems for electronic vehicles based on lithium batteries, where the risk of failure can be reduced by predicting the remaining useful life of the lithium battery. READ MORE

  5. 4. Anomaly detection for prediction of failures in manufacturing environments : Machine learning based semi-supervised anomaly detection for multivariate time series to predict failures in a CNC-machine

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

    Author : Felix Boltshauser; [2023]
    Keywords : Machine learning; Anomaly Detection; DeepAnT; ROCKET; OCSVM; manufacturing; predictive maintenance; Maskin inlärning; Anomali Detektion; DeepAnT; ROCKET; OCSVM; tillverkning; prediktivt underhåll;

    Abstract : For manufacturing enterprises, the potential of collecting large amounts of data from production processes has enabled the usage of machine learning for prediction-based monitoring and maintenance of machines. Yet common maintenance strategies still include reactive handling of machine failures or schedule-based maintenance conducted by experienced personnel. READ MORE

  6. 5. Convolutional-LSTM for IGBTs Prognostics and Age Monitoring : Designing a neural network for predicting aging precursors in power devices

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

    Author : Matteo Santoro; [2023]
    Keywords : Neural Networks; Igbt; Prognostics; Age Monitoring; Neurala Nätverk; Igbt; Prognostik; Övervakning av Ålder;

    Abstract : In recent years, extensive research efforts have been dedicated to the field of prognostics and age-related degradation, with major focus on higher complexity devices. However, relatively little attention has been given to power devices, such as Insulated Bipolar Gate Transistors (IGBTs), despite their critical role in high power electronic applications. READ MORE