Searched for: subject%3A%22Fault%255C%2Bdiagnosis%22
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Fraile Schumacher, Felix (author)
This project focuses on how we can provide consumers with the right tools and the right knowledge so that they can take care of their coffee makers. The final outcome of this project is a toolkit that includes all the necessary items for maintenance and repair and a website to help consumers through the fault diagnosis process (i.e. help them...
master thesis 2021
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Liu, Y. (author), Ferrari, Riccardo M.G. (author), Wu, Ping (author), Jiang, X. (author), Li, Sunwei (author), van Wingerden, J.W. (author)
Floating Offshore Wind Turbines (FOWTs) operate in the harsh marine environment with limited accessibility and maintainability. Not only failures are more likely to occur than in land-based turbines, but also corrective maintenance is more expensive. In the present study, a mixed model and signal-based Fault Diagnosis (FD) architecture is...
journal article 2021
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van Lagen, Gert (author)
This thesis describes the application of a stochastic active fault diagnosis method for localising leaks in a Water Distribution Network (WDN) under parametric uncertainty, in order to localise leaks faster and more reliable compared to non-invasive state-of-the-art methods. Output residual Probability Distribution Functions (PDFs) for a...
master thesis 2020
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Sapountzoglou, Nikolaos (author), Lago, Jesus (author), Raison, Bertrand (author)
In this paper, a gradient boosting tree model is proposed to detect, identify and localize single-phase-to-ground and three-phase faults in low voltage (LV) smart distribution grids. The proposed method is based on gradient boosting trees and considers branch-independent input features to be generalizable and applicable to different grid...
journal article 2020
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Pozo Arcos, B. (author), Bakker, C.A. (author), Flipsen, Bas (author), Balkenende, A.R. (author)
Fault diagnosis is the process of identifying and characterising a fault when a failure occurs. It is, therefore, an essential step to take before product-repair. In this study, we ask how conventional users diagnose faults in household appliances and how the design of these appliances facilitates or hampers the process of fault diagnosis.To...
journal article 2020
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Papadopoulos, Panayiotis M. (author), Reppa, V. (author), Polycarpou, Marios M. (author), Panayiotou, Christos G. (author)
The enormous energy use of the building sector and the requirements for indoor living quality that aim to improve occupants'productivity and health, prioritize Smart Buildings as an emerging technology. The Heating, Ventilation and Air-Conditioning ( HVAC ) system is considered one of the most critical and essential parts in buildings since...
journal article 2020
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Li, Yong (author), Cheng, Gang (author), Chen, Xihui (author), Pang, Y. (author)
As the supporting unit of rotating machinery, bearing can ensure efficient operation of the equipment. Therefore, it is very important to monitor the status of bearings accurately. A bearing fault diagnosis mothed based on Multipoint Optimal Minimum Local Mean Entropy Deconvolution Adjusted (MOMLMEDA) and Long Short-Term Memory (LSTM) is...
journal article 2019
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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 close...
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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Rostampour, 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...
journal article 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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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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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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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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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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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
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Taal, A. (author), Itard, L.C.M. (author), Zeiler, W. (author), Zhao, Y (author)
A much occurring problem in the Energy Management Systems of existing buildings and HVAC services is that the measurements are unreliable. In this article a methodology is described which can be used to determine the presence of errors in energy monitoring, caused by faulty measurements. These errors can be detected and subsequently diagnosed....
conference paper 2016
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Monteiro, D. (author)
Safety and reliability of a dynamical system is a concern that have always pursued designers in both academia and industry. Monitoring the health status of a system is even more relevant for safety critical applications, such as chemical and nuclear plants, medicine, transportation, and security systems. The occurrence of abnormal events on...
master thesis 2015
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Omoro, B.O. (author)
Fault localization is one of the activities of system diagnosis and its goal is to pinpoint the precise locations of faults in systems. This process is recognized as one of the most tedious, time-consuming and expensive undertakings of fault diagnosis. Consequently research in this domain have lead to the birth of numerous approaches to automate...
master thesis 2013
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