- document
-
Eskue, N.D. (author)This paper provides a detailed review of a digital thread for composite aerospace components. The current state of the digital thread continues to progress and at an ever-accelerating rate due to advancements in supporting technologies such as AI, data capture/processing/storage, sensors, simulation, and blockchain. While the individual steps...review 2023
- document
-
Lee, J. (author), Mitici, M.A. (author), Blom, H.A.P. (author), Bieber, Pierre (author), Freeman, Floris (author)The increasing use of on-board sensor monitoring and data-driven algorithms has stimulated the recent shift to data-driven predictive maintenance for aircraft. This paper discusses emerging challenges for data-driven predictive aircraft maintenance. We identify new hazards associated with the introduction of data-driven technologies into...journal article 2023
- document
-
Mitici, M.A. (author), de Pater, I.I. (author), Barros, Anne (author), Zeng, Zhiguo (author)The increasing availability of condition-monitoring data for components/systems has incentivized the development of data-driven Remaining Useful Life (RUL) prognostics in the past years. However, most studies focus on point RUL prognostics, with limited insights into the uncertainty associated with these estimates. This limits the...journal article 2023
- document
-
Lee, J. (author)Current aircraft maintenance ensures safe and reliable flight operations based on inspections repeated at fixed time intervals. The time interval between inspections is often much shorter than the average life of aircraft components, in an effort to timely detect potential failures. While this approach successfully prevents most potential...doctoral thesis 2022
- document
-
Drozdowski, Tomasz (author)Artificial Intelligence technology offers computational, decision-making, and optimizing abilities that surpass every previously established traditional computation method. By being able to navigate across large amounts of data, the realized solutions learn on their own and provide results that would be unattainable with other ways. The complex...master thesis 2022
- document
- Mooldijk, Esmée (author) master thesis 2022
- document
-
Azad, Hamza (author)Rijkswaterstaat’s Storm Surge Barriers are expensive assets providing economic value with the expectation of future returns. The maintenance is executed by the asset management department, which aims at maximizing operability without sacrificing safety and reliability. However, regular maintenance becomes more stringent as circumstances change,...master thesis 2022
- document
-
Robinson, Alex (author)Industrial electric motors are at the heart of almost every industry. They are a 47 billion USD market in 2020 and consume 70% of all industrial electricity. They are generally paired with a gearbox and load, which is referred to as an electric gearmotor system. Being so essential means that it is important to avoid failures, 98% of 300...master thesis 2022
- document
-
Thakoerdajal, Nitesh (author)Highly-loaded low-speed roller bearings are frequently used in equipment offshore e.g. slew bearings in crane, sheave bearings and FPSO turret bearings. Reducing maintenance costs, increasing productivity, ensuring safety of people and structural integrity and longevity assurance of equipment can be achieved by the condition monitoring of highly...master thesis 2022
- document
-
Schiettekatte, Niels (author)Aircraft maintenance methods are shifting from conservative maintenance approaches such as a periodic maintenance approach towards predictive maintenance approaches, leading to a reduction of costs, less unexpected aircraft-on-ground events and less wasted useful life of components. In this paper, we propose a new remaining useful life...master thesis 2022
- document
-
Panse, Sahil (author)With the increasing availability of sensor data to monitor the health of systems and components, maintenance is encountering a shift from the traditional preventive and corrective methodologies to a predictive approach. Given that maintenance, repair and overhaul are a significant operational cost to organizations, it is imperative that the...master thesis 2022
- document
-
Kirschbaum, Lucas (author), Robu, Valentin (author), Swingler, Jonathan (author), Flynn, David (author)Electromagnetic Relays (Electromagnetic Relay (EMR)s) are omnipresent in electrical systems, ranging from mass-produced consumer products to highly specialised, safety-critical industrial systems. Our detailed literature review focused on EMR reliability highlighting the methods used to estimate the State of Health or the Remaining Useful...review 2022
- document
-
de Pater, I.I. (author), Reijns, A.P. (author), Mitici, M.A. (author)The increasing availability of condition monitoring data for aircraft components has incentivized the development of Remaining Useful Life (RUL) prognostics in the past years. However, only few studies consider the integration of such prognostics into maintenance planning. In this paper we propose a dynamic, predictive maintenance scheduling...journal article 2022
- document
-
Multi-objective design of aircraft maintenance using Gaussian process learning and adaptive samplingLee, J. (author), Mitici, M.A. (author)Aircraft maintenance design aims to identify strategies that render the aircraft reliable for flight in a cost-efficient manner. These are often conflicting objectives. Moreover, existing studies on maintenance design often limit themselves to only one type of maintenance strategy, overlooking other potentially dominating designs. We propose...journal article 2022
- document
-
Lee, J. (author), Mitici, M.A. (author)The increasing availability of sensor monitoring data has stimulated the development of Remaining-Useful-Life (RUL) prognostics and maintenance planning models. However, existing studies focus either on RUL prognostics only, or propose maintenance planning based on simple assumptions about degradation trends. We propose a framework to integrate...journal article 2022
- document
-
Classens, Koen (author), Mostard, Mike (author), Van De Wijdeven, Jeroen (author), Maurice Heemels, W. P.M.H. (author), Oomen, T.A.E. (author)The condition of mechatronic production equipment slowly deteriorates over time, increasing the risk of failure and associated unscheduled downtime. A key indicator for an increased risk for failures is the shifting of resonances. The aim of this paper is to track the shifting resonances of the equipment online and during normal operation....journal article 2022
- document
-
Mars, Laura (author)In this thesis, a simulation cost model is presented that can be used to assess the cost-effectiveness of a selection of PdM programs. The proposed model combines a discrete event simulation (DES) model with a cost model. It is specifically designed to analyse the PdM programs for the vacuum compressor pumps at Duyvis. All the PdM programs...master thesis 2021
- document
-
Predictive Machine Learning Maintenance of VRLA Batteries based Uninterruptible Power Supply SystemsBusa, Barnabás (author)This thesis evaluates standard statistical and machine learning models for early fault detection for Valve Regulated Lead-Acid (VRLA) batteries in uninterruptible power supply (UPS) units. Unexpected battery failures in emergency support systems throughout CERN can endanger working personnel. Thus the minimization of downtime of such battery...master thesis 2021
- document
-
Pappaterra, Mauro José (author), Flammini, Francesco (author), Vittorini, Valeria (author), Bešinović, Nikola (author)The aim of this paper is to review existing publicly available and open artificial intelligence (AI) oriented datasets in different domains and subdomains of the railway sector. The contribution of this paper is an overview of AI-oriented railway data published under Creative Commons (CC) or any other copyright type that entails public...review 2021
- document
-
Lee, J. (author), Mitici, M.A. (author)Predictive aircraft maintenance is a complex process, which requires the modeling of the stochastic degradation of aircraft systems, as well as the dynamic interactions between the stakeholders involved. In this paper, we show that the stochastically and dynamically colored Petri nets (SDCPNs) are able to formalize the predictive aircraft...conference paper 2021