Essays about: "failure prediction"

Showing result 1 - 5 of 130 essays containing the words failure prediction.

  1. 1. Failure Probability and Lifetime Estimation for Industrial Robots : A Logistic Regression and Lifetime Analysis Approach

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Erik Fahlbeck Carlsson; Martin Herbert; [2023]
    Keywords : Lifetime Analysis; Logistic regression; Prediction; Lifetime estimation; Industrial robots; Livslängdsanalys; Logistisk regression; Prediktion; Livslängdsestimering; Industriella robotar;

    Abstract : The ability to handle and process data for information extraction is getting more and more important. Using extracted data from the business to improve productivity is seen as an important part in developing the business processes. In this thesis, industrial robots and their survival times are analyzed. READ MORE

  3. 2. Predicting heart failure emergency readmissions

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Paromita Sur; Alexander Stenberg; [2023]
    Keywords : Machine Learning; Patient readmission; Heart Failure; Electronic Health Records;

    Abstract : Recent progress in treatment interventions has resulted in increased survival rates and longevity for diagnosed heart failure patients. However, heart failure still remains one of the leading causes of rehospitalization worldwide, where emergency readmissions continue to be a common occurrence. READ MORE

  4. 3. AI/ML Development for RAN Applications : Deep Learning in Log Event Prediction

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

    Author : Yuxin Sun; [2023]
    Keywords : LSTM; Anomaly Detection; Failure Prediction; Log Mining; Deep Learning; LSTM; Anomali Detection; Failure Prediction; Log Mining; Deep Learning;

    Abstract : Since many log tracing application and diagnostic commands are now available on nodes at base station, event log can easily be collected, parsed and structured for network performance analysis. In order to improve In Service Performance of customer network, a sequential machine learning model can be trained, test, and deployed on each node to learn from the past events to predict future crashes or a failure. READ MORE

  5. 4. Reliability and Cost-Benefit Analysis of the Battery Energy Storage System

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

    Author : Dita Anggraini; [2023]
    Keywords : Battery Energy Storage System; Cost-Benefit Analysis; Prediction Methods; Reliability Analysis; Batterienergilagringssystem; Förutsägelsemetoder; Kostnads-nyttoanalys; Tillförlitlighetsanalys;

    Abstract : The battery energy storage system (BESS) is crucial for the energy transition and decarbonisation of the energy sector. However, reliability assessment and capital cost challenges can hinder their widespread deployment. READ MORE

  6. 5. Predicting Breakdowns in Transportation Vehicles using Supervised Learning

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

    Author : Shuo Li; [2023]
    Keywords : Breakdown Prediction; Transportation Vehicles; Diagnose; Gradient Boosting Classifier; Ensemble Model; Förutsägelse av haveri; transportfordon; diagnos; Gradient Boosting Classifier; Ensemblemodell;

    Abstract : Vehicle breakdowns can lead to fatal accidents, increase costs and reduce productivity. Therefore, robust and accurate fault diagnosis and prediction systems are critical to ensure the proper operation of vehicles. Many researchers have used machine learning for the prediction of vehicle breakdowns. READ MORE