Searched for: subject:"diagnosis"
(1 - 20 of 45)

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Ibrahim, Raed Khalaf (author), Watson, S.J. (author), Djurović, Siniša (author), Crabtree, C.J. (author)
Determining the magnitude of particular fault signature components (FSCs) generated by wind turbine (WT) faults from current signals has been used as an effective way to detect early abnormalities. However, the WT current signals are time varying due to the constantly varying generator speed. The WT frequently operates with the generator...
journal article 2018
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Ruiz Arenas, S. (author)
Typically, emerging system failures have a strong impact on the performance of industrial systems as well as on the efficiency of their operational and servicing processes. Being aware of these, maintenance and repair researchers have developed multiple failure detection and diagnosis techniques that allow early recognition of system or...
doctoral thesis 2018
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Rostampour Samarin, Vahab (author), Ferrari, Riccardo M.G. (author), Teixeira, André M.H. (author), Keviczky, T. (author)
Distributed fault diagnosis has been proposed as an effective technique for monitoring large scale, nonlinear and uncertain systems. It is based on the decomposition of the large scale system into a number of interconnected subsystems, each one monitored by a dedicated Local Fault Detector (LFD). Neighboring LFDs, in order to successfully...
conference paper 2018
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Starmans, Martijn P.A. (author), Miclea, Razvan L. (author), Niessen, W.J. (author), Thomeer, Maarten G. (author), Klein, S. (author)
Correct diagnosis of the liver tumor phenotype is crucial for treatment planning, especially the distinction between malignant and benign lesions. Clinical practice includes manual scoring of the tumors on Magnetic Resonance (MR) images by a radiologist. As this is challenging and subjective, it is often followed by a biopsy. In this study,...
conference paper 2018
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Kuai, Moshen (author), Cheng, Gang (author), Pang, Y. (author), Li, Yong (author)
For planetary gear has the characteristics of small volume, light weight and large transmission ratio, it is widely used in high speed and high power mechanical system. Poor working conditions result in frequent failures of planetary gear. A method is proposed for diagnosing faults in planetary gear based on permutation entropy of Complete...
journal article 2018
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Ferranti, L. (author), Wan, Y. (author), Keviczky, T. (author)
This paper focuses on the longitudinal control of an Airbus passenger aircraft in the presence of elevator jamming faults. In particular, in this paper, we address permanent and temporary actuator jamming faults using a novel reconfigurable fault-tolerant predictive control design. Due to their different consequences on the available control...
journal article 2018
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Li, Y. (author), Cheng, G. (author), Pang, Y. (author), Kuai, Moshen (author)
Poor working environment leads to frequent failures of planetary gear trains. However, complex structure and variable transmission make the vibration signal strongly non-linear and non-stationary, which brings big problems to fault diagnosis. A method of planetary gear fault diagnosis via feature image extraction based on multi central...
journal article 2018
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Xiang, Jianping (author), Jiang, Nannan (author), Watson, S.J. (author)
A Morlet wavelet-based compensated algorithm was proposed to calculate the accurate amplitudes of faulty signals. The specific way is to compute the time range and frequency values of the faulty signals at first, and then to compensate the amplitudes calculated for above faulty signals according to the center frequency values of Morlet...
journal article 2017
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Ferrari, Riccardo M.G. (author), Herdeiro Teixeira, A.M. (author)
This paper addresses the detection and isolation of replay attacks on sensor measurements. As opposed to previously proposed additive watermarking, we propose a multiplicative watermarking scheme, where each sensor's output is separately watermarked by being fed to a SISO watermark generator. Additionally, a set of equalizing filters is...
conference paper 2017
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Koryakovskiy, I. (author), Vallery, H. (author), Babuska, R. (author), Caarls, W. (author)
Reinforcement learning techniques enable robots to deal with their own dynamics and with unknown environments without using explicit models or preprogrammed behaviors. However, reinforcement learning relies on intrinsically risky exploration, which is often damaging for physical systems. In the case of the bipedal walking robot Leo, which is...
conference paper 2017
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Ferrari, Riccardo M.G. (author), Dibowski, H (author), Baldi, S. (author)
Model-based fault diagnosis has been indicated as a fundamental method in enabling optimal maintenance of buildings, thus leading to important energy savings. However, accurate models of buildings and their technical equipment are seldom available, and this lack of knowledge applies even more to descriptions of modeling and measurement...
journal article 2017
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Verbert, K.A.J. (author), Babuska, R. (author), De Schutter, B.H.K. (author)
Interdependencies among system components and the existence of multiple operating modes present a challenge for fault diagnosis of Heating, Ventilation, and Air Conditioning (HVAC) systems. Reliable and timely diagnosis can only be ensured when it is performed in all operating modes, and at the system level, rather than at the level of the...
journal article 2017
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Baldi, S. (author), Le, Q.T. (author), Holub, O. (author), Endel, P (author)
Condensing boilers achieve higher efficiency than traditional boilers by using waste heat in flue gases to preheat cold return water entering the boiler. Water vapor produced during combustion is condensed into liquid form, thus recovering its latent heat of vaporization, leading to around 10–12% increased efficiency. Many countries have...
journal article 2017
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Verbert, K.A.J. (author), Babuska, R. (author), De Schutter, B.H.K. (author)
Even though various frameworks exist for reasoning under uncertainty, a realistic fault diagnosis task does not fit into any of them in a straightforward way. For each framework, only part of the available data and knowledge is in the desired format. Moreover, additional criteria, like clarity of inference and computational efficiency,...
journal article 2017
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de Bruin, T.D. (author), Verbert, K.A.J. (author), Babuska, R. (author)
Timely detection and identification of faults in railway track circuits are crucial for the safety and availability of railway networks. In this paper, the use of the long-short-term memory (LSTM) recurrent neural network is proposed to accomplish these tasks based on the commonly available measurement signals. By considering the signals from...
journal article 2017
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Bron, Esther E. (author), Smits, Marion (author), Papma, Janne M. (author), Steketee, Rebecca M E (author), Meijboom, Rozanna (author), De Groot, Marius (author), van Swieten, John C. (author), Niessen, W.J. (author), Klein, S. (author)
Objectives: To investigate the added diagnostic value of arterial spin labelling (ASL) and diffusion tensor imaging (DTI) to structural MRI for computer-aided classification of Alzheimer's disease (AD), frontotemporal dementia (FTD), and controls. Methods: This retrospective study used MRI data from 24 early-onset AD and 33 early-onset FTD...
journal article 2016
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Verbert, K.A.J. (author)
For many systems, like medical devices, nuclear reactors, and transportation systems, an adequate maintenance optimization approach is essential to ensure high levels of reliability and safety while keeping operational costs low. A promising approach towards this goal is condition-based maintenance, which plans maintenance only when the system...
doctoral thesis 2016
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Lu, P. (author)
doctoral thesis 2016
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Papadakis, V. (author), Muller, B. (author), Hagenbeek, M. (author), Sinke, J. (author), Groves, R.M. (author)
Nowadays, the application of glass-fibre composites in light-weight structures is growing. Although mechanical characterizations of those structures are commonly performed in testing, chemical changes of materials under stresses have not yet been well documented. In the present work coupon tests and Hyperspectral Imaging (HSI) have been used to...
conference paper 2016
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Verbert, K.A.J. (author), De Schutter, B.H.K. (author), Babuska, R. (author)
Adequate fault diagnosis requires actual system data to discriminate between healthy behavior and various types of faulty behavior. Especially in large networks, it is often impracticable to monitor a large number of variables for each subsystem. This results in a need for fault diagnosis methods that can work with a limited set of monitoring...
journal article 2016
Searched for: subject:"diagnosis"
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