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Failure anticipation scheme in distribution systems based on wave distortions and Montecarlo methodsBhandia, 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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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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Wang, Bin (author), Zio, Enrico (author), Chen, X. (author), Zhu, Hanhua (author), Guo, Yunhua (author), Fan, Shidong (author)In the dredging industry, the automation and accuracy of the Dredging Perception System (DPS) are vital for operational efficiency and environmental safety. Current DPS implementations face challenges with sensor fault tolerance, leading to system unreliability and increased false alarm rates that can disrupt dredging operations. We propose a...journal article 2024
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Noom, J. (author), Soloviev, O.A. (author), Verhaegen, M.H.G. (author)We present a novel problem formulation for model-free data-driven fault diagnosis, in which possible faults are diagnosed simultaneously to identifying the linear time-invariant system. This problem is practically relevant for systems whose model cannot be identified reliably prior to diagnosing possible faults, for instance when operating...journal article 2024
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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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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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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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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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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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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
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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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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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Barber, Sarah (author), Lima, Luiz Andre Moyses (author), Sakagami, Yoshiaki (author), Quick, Julian (author), Latiffianti, Effi (author), Liu, Y. (author), Ferrari, Riccardo M.G. (author), Letzgus, Simon (author), Zhang, Xujie (author), Hammer, Florian (author)In the next decade, further digitalisation of the entire wind energy project lifecycle is expected to be a major driver for reducing project costs and risks. In this paper, a literature review on the challenges related to implementation of digitalisation in the wind energy industry is first carried out, showing that there is a strong need for...journal article 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&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&M planning and costs,...book chapter 2022
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de Jesus Chavez, Jose (author), Veerakumar, Nidarshan (author), Popov, M. (author), Palensky, P. (author), Azizi, Sadegh (author), Melgoza, Enrique (author), Terzija, Vladimir (author)Fault currents may result in cascading failures and even system collapse if not detected and cleared on time. To account for the possibility of failure of primary protection under stressed system conditions, an extra layer of protection is commonly employed, referred to as backup protection. This paper introduces an effective formulation for...conference paper 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
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Tajdinian, Mohsen (author), Behdani, B. (author), Goodarzi, Ali (author), Chamorro, Harold R. (author), Sood, Vijay K. (author)Fast internal detection and location in Shunt Ca-pacitor Banks (SCBs) can lead to the prevention of damages to other SCBs' elements and consequently avoid undesirable performance and effects in power system operation. This paper targets the performance of phasor-based algorithms of failure detection and fault location of SCBs. Being dependent on...conference paper 2022
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de Jesus Chavez, Jose (author), Popov, M. (author), López, David (author), Azizi, Sadegh (author), Terzija, Vladimir (author)This paper presents a new fault detection algorithm based on the Fast Discrete Stockwell Transform. The algorithm can improve the functionality of existing distance protection and resolve shortcomings identified during the fault detection process in case of fault occurrence in systems with a high penetration of power electronics-based generators...journal article 2021
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Wu, P. (author), Ferrari, Riccardo M.G. (author), Liu, Y. (author), van Wingerden, J.W. (author)Incipient fault detection plays a crucial role in preventing the occurrence of serious faults or failures in industrial processes. In most industrial processes, linear, and nonlinear relationships coexist. To improve fault detection performance, both linear and nonlinear features should be considered simultaneously. In this article, a novel...journal article 2021