Blar i NTNU Open på forfatter "Gribbestad, Magnus"
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A Comparison of GA Crossover and Mutation Methods for the Traveling Salesman Problem
Bye, Robin Trulssen; Gribbestad, Magnus; Chandra, Ramesh; Osen, Ottar (Peer reviewed; Journal article, 2021)The traveling salesman problem is a very popular combinatorial optimization problem in fields such as computer science, operations research, mathematics and optimization theory. Given a list of cities and the distances ... -
Health Monitoring of Air Compressors Using Reconstruction-Based Deep Learning for Anomaly Detection with Increased Transparency
Gribbestad, Magnus; Hassan, Muhammad Umair; Hameed, Ibrahim A.; Sundli, Kelvin (Peer reviewed; Journal article, 2021)Anomaly detection refers to detecting data points, events, or behaviour that do not comply with expected or normal behaviour. For example, a typical problem related to anomaly detection on an industrial level is having ... -
Prognostics and Health Management for Air Compressors Based on Deep Learning Techniques
Gribbestad, Magnus (Master thesis, 2019)Typiske vedlikeholdsstrategier på luftkompressorer i dag er avhengig av planlagte vedlikeholdstiltak basert på levetidsstatistikk, eller å reparere noe etter det har feilet. Målet med denne oppgaven er å utforske prediktivt ... -
Transfer Learning for Prognostics and Health Management (PHM) of Marine Air Compressors
Gribbestad, Magnus; Hassan, Muhammad Umair; Abdelfattah Abdelhameed, Ibrahim (Peer reviewed; Journal article, 2021)Prognostics is an engineering discipline focused on predicting the time at which a system or a component will no longer perform its intended function. Due to the requirements of system safety and reliability, the correct ...