Searched for: subject%3A%22diagnosis%22
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de Alvear Cardenas, Jose Ignacio (author)
Despite the camera being ubiquitous to unmanned aerial vehicles (UAVs), it has not been used for fault detection and diagnosis (FDD) due to the nonexistence of UAV multi-sensor datasets that include actuator failure scenarios. This thesis proposes a knowledge-based FDD framework based on a lightweight Long-Short Term Memory network that fuses...
master thesis 2022
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Pantela, Patroclos (author)
This research work tries to provide a model-based, distributed Fault Diagnosis (FD) framework that will eventually act as an early warning system for online monitoring of the marine propulsion process, in order to avoid future failures and accidents. Furthermore, the introduction of adaptive thresholds in the monitoring modules of the monitoring...
master thesis 2022
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Cardoso Medeiros, G. (author)
The Fin Field-Effect Transistor (FinFET) technology became the most promising approach to enable the downscaling of technological nodes below the 20 nm threshold. However, the introduction of new technology nodes for embedded memories such as SRAMs, especially for even smaller nodes such as 10 and 5 nm, gives rise to new manufacturing failure...
doctoral thesis 2022
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GUO, Zhuoran (author)
Online searching for healthcare information has gradually become a widely used internet case. Suppose a patient suffers the symptom but is unsure of the action he needs to take, a self-diagnosis tool can help the patient identify the possible conditions and whether this patient needs to seek immediate medical help. However, the accuracy and...
master thesis 2022
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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
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Pozo Arcos, B. (author)
Today’s industrialized societies face the challenge of integrating economic activity with sustainable consumption. Prosperity has come hand in hand with environmental damage. Product lifetimes are decreasing and there is a rising demand for high-tech products for which no effective recycling is in place. Hence, the value from products is lost to...
doctoral thesis 2022
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Zappalá, D. (author), Tavner, Peter J. (author)
Wind turbine technologies are evolving rapidly in terms of complexity and size and there is an urgent need for cost-effective Operations and Maintenance (O&amp;M) strategies to increase the profitability of wind power assets.<br/><br/>Component reliability as well as maintenance strategies have the greatest effect on O&amp;M planning and costs,...
book chapter 2022
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van der Ploeg, Chris (author), Silvas, Emilia (author), van de Wouw, Nathan (author), Mohajerin Esfahani, P. (author)
Estimating and detecting faults is crucial in ensuring safe and efficient automated systems. In the presence of disturbances, noise, or varying system dynamics, such estimation is even more challenging. To address this challenge, this letter proposes a novel filter to estimate multiple fault signals for a class of discrete-time linear...
journal article 2022
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Pan, K. (author), Palensky, P. (author), Mohajerin Esfahani, P. (author)
The main objective of this article is to develop scalable dynamic anomaly detectors with high-fidelity simulators of power systems. On the one hand, models in high-fidelity simulators are typically 'intractable' if one opts to describe them in a mathematical formulation in order to apply existing model-based approaches from the anomaly...
journal article 2022
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Oyibo, P.O. (author), Jujjavarapu, S. (author), Meulah, Brice (author), Agbana, T.E. (author), Braakman, I.G. (author), van Diepen, Angela (author), Bengtson, M.L. (author), van Lieshout, Lisette (author), Andi, Wellington Oyibo (author), Vdovin, Gleb (author), Diehl, J.C. (author)
For many parasitic diseases, the microscopic examination of clinical samples such as urine and stool still serves as the diagnostic reference standard, primarily because microscopes are accessible and cost-effective. However, conventional microscopy is laborious, requires highly skilled personnel, and is highly subjective. Requirements for...
journal article 2022
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Kopbayev, Alibek (author), Khan, Faisal (author), Yang, M. (author), Halim, S. Zohra (author)
The increased complexity of digitalized process systems requires advanced tools to detect and diagnose faults early to maintain safe operations. This study proposed a hybrid model that consists of Kernel Principal Component Analysis (kPCA) and DNNs that can be applied to detect and diagnose faults in various processes. The complex data is...
journal article 2022
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Agbana, T.E. (author), Onasanya, A.A. (author)
report 2022
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Gan, Naifeng (author), Sun, S.Z. (author), Zhang, Zhaosheng (author), Xu, Shiqi (author), Liu, Peng (author), Qin, Z. (author)
The overdischarge can significantly degrade a lithium-ion (Li-ion) battery's lifetime. Therefore, it is important to detect the overdischarge and prevent severe damage of the Li-ion battery. Depending on the battery technology, there is a minimum voltage (cutoff voltage) that the battery is allowed to be discharged in common practice. Once the...
journal article 2022
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Hajee, Bram (author), Wisse, Kees (author), Mohajerin Esfahani, P. (author)
Multi-sensor networks are becoming more and more popular in order to assess the post-occupancy performance of smart buildings, since they enable continuous monitoring with a high spatial resolution of the occupancy, thermal comfort and indoor air quality. An urgent, but poorly attended topic in this field is the automated detection of sensor...
conference paper 2022
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de Boer, Bas (author), Kudina, O. (author)
In this paper, we examine the qualitative moral impact of machine learning-based clinical decision support systems in the process of medical diagnosis. To date, discussions about machine learning in this context have focused on problems that can be measured and assessed quantitatively, such as by estimating the extent of potential harm or...
journal article 2022
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van Lagen, G. (author), Abraham, E. (author), Mohajerin Esfahani, P. (author)
This article proposes an active fault isolation method for application to water distribution networks (WDNs) to localize leaks. The method relies on the classification of observed outputs to a discrete set of hypothetical faults. Due to parametric uncertainties, the outputs are random vectors that follow unknown probability distribution...
journal article 2022
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Tan, C. (author), Wang, S. (author), Li, Shizhen (author), Liu, X. (author), Wei, Jia (author), Zhang, Kouchi (author), Ye, H. (author)
Owing to the outstanding physical properties of graphene, its biosensing applications implemented by the terahertz metasurface are widely concerned and studied. Here, we present a novel design of the graphene metasurface, which consists of an individual graphene ring and an H-shaped graphene structure. The graphene metasurface exhibits a dual...
journal article 2022
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Tan, C. (author), Wang, S. (author), Yang, Huiru (author), Huang, Qianming (author), Li, Shizhen (author), Liu, X. (author), Ye, H. (author), Zhang, Kouchi (author)
Recent reports focus on the hydrogenation engineering of monolayer boron phosphide and simultaneously explore its promising applications in nanoelectronics. Coupling density functional theory and finite element method, we investigate the bowtie triangle ring microstructure composed of boron phosphide with hydrogenation based on structural and...
journal article 2022
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Kougiatsos, N. (author), Negenborn, R.R. (author), Reppa, V. (author)
This paper proposes a distributed model-based methodology for the detection and isolation of sensor faults in marine fuel engines. The proposed method considers a Mean Value First Principle model and a wide selection of heterogeneous sensors for monitoring the engine components. The detection of faults is realised based on residuals generated...
journal article 2022
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Noom, J. (author), Soloviev, O.A. (author), Smith, C.S. (author), Verhaegen, M.H.G. (author)
Some applications require high level of image-based classification certainty while keeping the total illumination energy as low as possible. Examples are minimally invasive visual inspection in Industry 4.0, and medical imaging systems such as computed tomography, in which the radiation dose should be kept “as low as is reasonably achievable”...
conference paper 2022
Searched for: subject%3A%22diagnosis%22
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