Blar i NTNU Open på forfatter "Rauzy, Antoine"
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A modelling methodology for the assessment of preventive maintenance on a compressor drive system
Zhang, Yun; Barros, Anne; Rauzy, Antoine; Lunde, Erling (Chapter, 2018)Huge rotary machines are commonly used in oil and gas processing plants for separation, compression and boosting. Their reliability is of high importance to avoid operation downtime and production loss. In this paper, we ... -
A Study of an Applicable Methodology for Implementaion of Machine Learning Techniques in Maintenance Engineering
Grimstad, Joachim Nilsen (Master thesis, 2021)Oppgavens originale intensjon var ˚a presentere en metodologi som var b˚ade enkel og anvendbar for implementeringen av maskinlæringsteknikker for prediktivt vedlikehold, med fokus p˚a veiledet læringsalgoritmer. Oppgaven ... -
Anomaly Detection Using LSTM Neural Networks: a Case Study of the Early Development of a Predictive Maintenance Program
Andersen, Emil Øydna (Master thesis, 2022)Det er forventet at prediktivt vedlikehold basert på maskinlæring vil redusere kostnader relatert til maskinhavari og vedlikehold med opptil 10%. Mange studier forsøker å definere metoder og algoritmer for å beregne ... -
Application of machine learning to limited datasets: prediction of project success
Bang, Sofie; Aarvold, Magnus; Hartvig, Wilhelm; Olsson, Nils; Rauzy, Antoine (Peer reviewed; Journal article, 2022)Much research is conducted on the importance of success factors. This study contributes to the body of knowledge by using artificial intelligence (AI), specifically machine learning (ML), to analyse success factors through ... -
Assesment of project strategies for floating offshore wind farms through digital twin simulation
With Hoen, Thomas (Master thesis, 2024)I denne oppgaven har jeg som mål å modellere logistikken til en flytende havvindpark for å vurdere hvordan ulike prosjektstrategier påvirker varighet og kostnader. Kostnadseffektive og konkurransedyktige løsninger er ... -
Assessing Maintenance Problems Using a Proof-of-concept DES+SD Modeling and Simulation Tool
Kvammen, Markus Bratland (Master thesis, 2021)Dette prosjektet har som formål å studere hvordan modellering og simulering kan bidra til å bedre forstå industrielle vedlikeholdsproblemer. Hensikten er å hjelpe ledere til å forstå deres problemer bedre, finne kilden til ... -
Assessment of a condition-based maintenance policy for Subsea systems: A preliminary study
Zhang, Yun; Barros, Anne Cecile Pénélope; Rauzy, Antoine (Chapter, 2017)Subsea systems are prone to degradations and failures because they are located in a harsh environment. Their performance can be improved by implementing good maintenance policies, for instance condition based maintenance ... -
An attempt to understand complexity in a government digital transformation project
Hafseld, Kristin Helene Jørgensen; Hussein, Bassam; Rauzy, Antoine (Peer reviewed; Journal article, 2021)Digital transformation projects will become one of the dominating tools for mastering digital transformation in governments. Studies show that such projects are complex undertakings and increasingly difficult to manage. ... -
Combining System Dynamics and Machine Learning for Predicting Safety Performance in Construction Projects
Borkenhagen, Ingrid Renolen; Olsen, Jenni Sveen (Master thesis, 2023)Denne oppgaven utforsket kombinasjonen av systemdynamikk og maskinlæring for å kunne gi en tidlig advarsel for byggeprosjekter som er spesielt utsatt for ulykker. Byggebransjen er preget av mye ulykker og det forskes på ... -
Combining System Dynamics and Machine Learning for Predicting Safety Performance in Construction Projects
Borkenhagen, Ingrid Renolen; Olsen, Jenni Sveen (Master thesis, 2023)Denne oppgaven utforsket kombinasjonen av systemdynamikk og maskinlæring for å kunne gi en tidlig advarsel for byggeprosjekter som er spesielt utsatt for ulykker. Byggebransjen er preget av mye ulykker og det forskes på ... -
Common Cause Failure Analysis - Improved Approach for Determining the Beta Value in the PDS Method
koo, kwiyeon (Master thesis, 2017)This master thesis investigates definitions and classifications of the common cause failure from various industries. From the investigation, four core aspects of the definition for the common cause failure are extracted, ... -
Condition-Based Maintenance Models: Application to Subsea Safety Systems
Zhang, Yun (Doctoral theses at NTNU;2018:375, Doctoral thesis, 2018)This PhD thesis clarifies concepts and challenges in maintenance modelling for subsea systems. The main objective is to develop suitable condition-based maintenance (CBM) models for some typical safety systems in subsea. ... -
Coupling AltaRica models with optimization heuristics for the assessment of maintenance policies
Jin, Huweiyang (Master thesis, 2018)The main objective of this thesis is do maintenance optimization for a system using AltaRica simulation tools. Maintenance optimization is based on the assessment of maintenance policy. Stochastic simulation is applied to ... -
Decision diagram algorithms to extract minimal cutsets of finite degradation models
Rauzy, Antoine; Yang, Liu (Journal article; Peer reviewed, 2019)In this article, we propose decision diagram algorithms to extract minimal cutsets of finite degradation models. Finite degradation models generalize and unify combinatorial models used to support probabilistic risk, ... -
Efficient Handling of Empirical Probability Distributions in RAMS Models
Müller, Florian Marcel Carl (Master thesis, 2017)Performing reliability assessments always relies on utilizing data. Most often, this data is provided in the form of historic failure dates. To understand this data, models are used to derive reliability characteristics ... -
Evaluation of a Scenario-Based approach to Systems Engineering
Rønning, Kristoffer Berg (Master thesis, 2019)Den økende forekomsten av kompleksitet i tekniske systemer krever godt samspill mellom de involverte interessentene. Industrielt systemdesign (systems engineering) er en tverrfaglig tilnærming til utvikling av balanserte ... -
Finite Degradation Structures: A Unified Framework of Combinatorial Models in Probabilistic Risk/Safety Assessment
Yang, Liu (Doctoral theses at NTNU;2020:127, Doctoral thesis, 2020)This PhD thesis presents a new modeling framework, called finite degradation structures (FDSs), which can be used as a unified framework of combinatorial models in probabilistic risk/safety assessment. The so-called ... -
Intergrating System Dynamics Modelling and Machine Learning to Improve Safety in Construction Projects
Aamlid, Josefine Elisabeth Stiff (Master thesis, 2023)Denne masteroppgaven er en del av forskningsprosjektet DiSCo, som har som mål å undersøke potensialet for å utvikle et verktøy basert på maskinlæring (ML) for å forbedre risikohåndtering av ulykker i bygge bransjen. Målet ... -
Model-based maintenance optimization
Gopakumar Nair, Krishnan (Master thesis, 2021)The thesis aims to apply a model-based assessment for the different maintenance policies possible for a system and thereby aid the engineers in choosing the optimal maintenance policy. For this purpose, a system of separators ... -
Moving from Pragmatic to formal model: HYPSO reliability evaluation using activity approach and AltaRica
Toloza, Jhonattan (Master thesis, 2022)Systems are becoming more complex over time, requiring interdisciplinary groups to develop them. Moreover, systems are more interconnected, meaning that different systems should be designed to work together with others in ...