Essays about: "fault monitoring"

Showing result 1 - 5 of 78 essays containing the words fault monitoring.

  1. 1. Mining infrequent group of motifs from multidimensional time series: A case study at Alfa Laval AB

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Fabeena Thoufeeq; Reeba Susan Ashok; [2024]
    Keywords : ;

    Abstract : In collaboration with an industrial partner, Alfa Laval AB, this thesis discusses a novel approach for identifying operational modes, specifically a cleaning mode, in separator machines without the benefit of labelled data and with very limited operating knowledge. Understanding the operational modes is crucial for comprehending the machine’s behaviour and ensuring its optimal performance. READ MORE

  3. 2. 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

  4. 3. Condition Monitoring Of Machine Components From Drive Data Using Semi-Supervised Anomaly Detection Methods

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Tim Leon WyWiol; [2023]
    Keywords : ;

    Abstract : The mission of the machine manufacturer is to gain insights from machine data to increase their machines' efficiency and sustainability. Continuously monitoring the machine data with machine learning helps to detect emerging mechanical problems and prevents unexpected failures. READ MORE

  5. 4. Industrial Machine Monitoring: Real-Time Anomalous Sound Event Detection on Low-Powered Devices

    University essay from Lunds universitet/Matematisk statistik

    Author : Alexander Magnusson; Anton Andersson; [2023]
    Keywords : Anomaly Detection; Sound Event Detection; MFCC; GMM; OCSVM; Mathematics and Statistics;

    Abstract : Traditionally fault detection in industrial machinery has been performed manually by experienced machine operators listening to the machines. However, it is desirable to automate this process to increase efficiency and improve the working environment of the operators. READ MORE

  6. 5. DIAGNOSING ETHERNET CABLES USING TIME DOMAIN REFLECTOMETRY IN ETHERNET CIRCUITS

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Anton Sundqvist; [2023]
    Keywords : ;

    Abstract : Ethernet cables are a vital component in modern systems, providing reliable data transmission between devices. However, like any other physical component, these cables are subject to wear and tear. Depending on several factors, this wear and tear can happen at different rates, and unplanned stops in a system must be avoided. READ MORE