Essays about: "network fault diagnosis"

Showing result 1 - 5 of 16 essays containing the words network fault diagnosis.

1. 1. 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

3. 2. Fault Detection and Diagnosis for Automotive Camera using Unsupervised Learning

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

   Author : Ziyou Li; [2023]
   Keywords : Unsupervised Learning; Autoencoders; Image Clustering; Fault Detection and Diagnosis; Morphological Operations; Hardware-in-Loop; Advanced DriverAssistance System; Oövervakad inlärning; Autoencoders; Bildklustering; Felfindning och Diagnostik; Morfologiska Operationer; Hardware-in-Loop; Avancerade Förarassistanssystem;

   Abstract : This thesis aims to investigate a fault detection and diagnosis system for automotive cameras using unsupervised learning. 1) Can a front-looking wide-angle camera image dataset be created using Hardware-in-Loop (HIL) simulations? 2) Can an Adversarial Autoencoder (AAE) based unsupervised camera fault detection and diagnosis method be crafted for SPA2 Vehicle Control Unit (VCU) using an image dataset created using Hardware-inLoop? 3) Does using AAE surpass the performance of using Variational Autoencoder (VAE) for the unsupervised automotive camera fault diagnosis model? In the field of camera fault studies, automotive cameras stand out for its complex operational context, particularly in Advanced Driver-Assistance Systems (ADAS) applications. READ MORE

4. 3. Data-driven Fault Detection and Diagnosis inHardware-in-the-loop Environment

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Arya Farhang; [2023]
   Keywords : ;

   Abstract : The automotive industry has grown rapidly in the previous decades, and with the move toward electrification and driving assistance, the need for faster testing and development is rising.Model-based design(MBD) development cycles partly address the issues by allowing testing to happen before the physical product is created. READ MORE

5. 4. Predictive Maintenance of Induction Motors using Deep Learning : Anomaly Detection using an Autoencoder Neural Network and Fault Classification using a Convolutional Neural Network

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

   Author : Diego Andres Moreno Salinas; [2022]
   Keywords : Predictive maintenance; Fault Diagnosis; Anomaly Detection; Deep Learning; Machine Learning; Induction Motors; Prediktivt underhåll; feldiagnostik; upptäckt av avvikelser; djup inlärning; maskininlärning; induktionsmotorer;

   Abstract : With the fast evolution of the Industry 4.0, the increased use of sensors and the rapid development of the Internet of Things (IoT), and the adoption of artificial intelligence methods, smart factories can automate their processes to vastly improve their efficiency and production quality. READ MORE

6. 5. Injector diagnosis based on engine angular velocity pulse pattern recognition

   University essay from Uppsala universitet/Signaler och system

   Author : David Nyman; [2020]
   Keywords : machine learning; supervised machine learning; neural network; internal combustion engine; fault diagnosis;

   Abstract : In a modern diesel engine, a fuel injector is a vital component. The injectors control the fuel dosing into the combustion chambers. The accuracy in the fuel dosing is very important as inaccuracies have negative effects on engine out emissions and the controllability. READ MORE