Searched for: subject%3A%22Fault%255C+Detection%22
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Rosa, Tábitha E. (author), de Paula Carvalho, Leonardo (author), de Albuquerque Gleizer, G. (author), Jayawardhana, Bayu (author)
Motivated by the physical exchange of energy and its dissipation in electro-mechanical systems, we propose a new fault detection method based on data-driven dissipativity analysis. We first identify a dissipativity inequality using one or multiple shots of data obtained from a linear time-invariant system. This dissipativity inequality's...
journal article 2024
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Bhandia, R. (author), de Jesus Chavez, Jose (author), Cvetkovic, M. (author), Garcia-Vite, Pedro M. (author), Popov, M. (author), Palensky, P. (author)
Anticipating failures is vital for maintaining a reliable power supply. Advanced measurement devices in the grid generate vast data that contains valuable information on grid operations. Initial signatures of an incipient failure are often reflected in this data in the form of electrical waveform distortions. Conventional protection schemes are...
review 2024
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Venth, Simon (author)
Modern space systems host increasingly complex payloads in shrinking spacecraft sizes. The data-intensive nature of communication payloads requires sophisticated data handling, where Field Programmable Gate Arrays (FPGAs) play a crucial role. FPGAs, configurable in software, offer custom circuit advantages without high lead times and costs. In...
master thesis 2023
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Dong, J. (author)
Advancements in technology and societal demands have led to increasing complexity, size, and automation in modern industrial systems. This trend makes these systems more safety-critical, as the occurrence of faults in system components or subsystems may cause the entire system to fail, resulting in significant economic losses and casualties....
doctoral thesis 2023
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Janakiraman, Sathya (author)
Having a reliable flight envelope is of paramount importance for safe flight operations. Parameters that determine the safe flight envelope are airspeed , angle of attack, angle of sideslip, Euler angle and load factor. These parameters need to be fault redundant, In order to address this challenge, an unscented Kalman estimation routine is...
master thesis 2023
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Larocque, Frédéric (author)
Pitot tube-free airspeed estimation methods exist for fixed-wing and multirotor configurations, but lack direct applicability to hybrid unmanned air vehicles due to their wide flight envelope and changing dynamics during transition. This work proposes a novel synthetic air data system for the Variable Skew Quad Plane (VSQP) hybrid vehicle to...
master thesis 2023
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Dong, J. (author), Sharifi K., Arman (author), Mohajerin Esfahani, P. (author)
We study a diagnosis scheme to reliably detect the active mode of discrete-time, switched affine systems in the presence of measurement noise and asynchronous switching. The proposed scheme consists of two parts: (i) the construction of a bank of filters, and (ii) the introduction of a residual/threshold-based diagnosis rule. We develop an...
journal article 2023
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Haleem Medattil Ibrahim, M.I. (author), Sharma, Madhu (author), Subramaniam Rajkumar, Vetrivel (author)
This paper presents a rules-based integrated fault detection, classification and section identification (I-FDCSI) method for real distribution networks (DN) using micro-phasor measurement units ((Formula presented.) PMUs). The proposed method utilizes the high-resolution synchronized realistic measurements from the strategically installed ...
journal article 2023
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Keijzer, T. (author), Engelbrecht, J. A.A. (author), Goupil, P. (author), Ferrari, Riccardo M.G. (author)
The Flight Control System (FCS) is one of the most important systems in all modern aircraft. For such systems it is required to have robust Fault Detection Isolation and Reconfiguration (FDIR) functionalities with high detection performance. In this work we specifically consider the Oscillatory Failure Cases (OFC), which, if not mitigated,...
journal article 2023
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Stone, Emilie (author), Giani, Stefano (author), Zappalá, D. (author), Crabtree, C.J. (author)
Effective and timely health monitoring of wind turbine gearboxes and generators is essential to reduce the costs of operations and maintenance activities, especially offshore. This paper presents a scalable and lightweight convolutional neural network (CNN) framework using high-dimensional raw condition monitoring data for the automatic...
journal article 2023
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Kakolaki, Seyed Ebrahim Hosseini (author), Hakimian, Vahid (author), Sadeh, Javad (author), Rakhshani, E. (author)
The sudden outage of a transformer due to a fault can cause irreparable damage to the electricity industry. Hence, by conducting momentarily inspections of the transformer's condition, faults can be promptly detected, and the transformer can be disconnected from the power grid to prevent subsequent failures in this equipment. Detecting faults...
journal article 2023
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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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Choudhary, Shivesh (author)
The growing demand for electricity and the importance of decarbonization have forced to transition from fossil fuels to sustainable sources of energy like wind and solar. Currently, the universal power mix remains dominated by fossil fuels but plans are in motion to achieve the target set for the upcoming years. It involves grid expansion and...
master thesis 2022
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van der Laan, Fedor (author)
Hydrogen is a promising fuel for both reducing greenhouse gas emissions and being used as an energy carrier for renewable energy sources. The adaption of hydrogen instead of natural gas as a fuel in gas turbine combustors introduces additional challenges regarding flame stability. One instabilities is boundary layer flashback. This phenomenon...
master thesis 2022
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Yu, Quanhao (author)
With the replacements of coal and nuclear plants with renewable energy sources such as Type-3 and Type-4 wind turbines and photovoltaic system, the fault current levels of the electrical power system become lower. This leads to a weakened ability of the commercial distance relays to detect fault currents. Therefore, new fault detection...
master thesis 2022
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de Mooy, Dion (author)
In this thesis, a new photovoltaic fault detection and classification method is proposed. It combines the generation of a synthetic photovoltaic training database and the use of a machine learning model to detect and classify faults in small-scale residential PV systems. The database was generated in Matlab, and the machine learning modeling was...
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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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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Alcañiz Moya, A. (author), Nikam, Maitheli M. (author), Snow, Yitzi (author), Isabella, O. (author), Ziar, H. (author)
Monitoring residential scale photovoltaic (PV) systems is important for maximizing the energy yield and detecting malfunctions. Analytical-based approaches are not reliable in these systems because of the lack of on-site measurements and detailed PV system specifications. In this paper, a collaborative approach is proposed which does not...
journal article 2022
Searched for: subject%3A%22Fault%255C+Detection%22
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