Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Frusque, Gaetan"'
Deriving health indicators of rotating machines is crucial for their maintenance. However, this process is challenging for the prevalent adopted intelligent methods since they may take the whole data distributions, not only introducing noise interfer
Externí odkaz:
http://arxiv.org/abs/2409.01676
Graph signal processing represents an important advancement in the field of data analysis, extending conventional signal processing methodologies to complex networks and thereby facilitating the exploration of informative patterns and structures acro
Externí odkaz:
http://arxiv.org/abs/2406.03898
Unsupervised Domain Adaptation for Regression (UDAR) aims to adapt a model from a labeled source domain to an unlabeled target domain for regression tasks. Recent successful works in UDAR mostly focus on subspace alignment, involving the alignment of
Externí odkaz:
http://arxiv.org/abs/2401.13721
The Health Index (HI) is crucial for evaluating system health, aiding tasks like anomaly detection and predicting remaining useful life for systems demanding high safety and reliability. Tight monitoring is crucial for achieving high precision at a l
Externí odkaz:
http://arxiv.org/abs/2312.02867
Anomaly detection (AD) is essential in identifying rare and often critical events in complex systems, finding applications in fields such as network intrusion detection, financial fraud detection, and fault detection in infrastructure and industrial
Externí odkaz:
http://arxiv.org/abs/2311.11961
Publikováno v:
15th Annual Conference of the Prognostics and Health Management Society 2023
An important initial step in fault detection for complex industrial systems is gaining an understanding of their health condition. Subsequently, continuous monitoring of this health condition becomes crucial to observe its evolution, track changes ov
Externí odkaz:
http://arxiv.org/abs/2309.02274
The application of unsupervised domain adaptation (UDA)-based fault diagnosis methods has shown significant efficacy in industrial settings, facilitating the transfer of operational experience and fault signatures between different operating conditio
Externí odkaz:
http://arxiv.org/abs/2307.01429
The occurrence of manufacturing defects in wind turbine blade (WTB) production can result in significant increases in operation and maintenance costs and lead to severe and disastrous consequences. Therefore, inspection during the manufacturing proce
Externí odkaz:
http://arxiv.org/abs/2306.10808
Publikováno v:
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Circuit breakers (CBs) play an important role in modern society because they make the power transmission and distribution systems reliable and resilient. Therefore, it is important to maintain their reliability and to monitor their operation. A key t
Externí odkaz:
http://arxiv.org/abs/2208.07607
Autor:
Frusque, Gaetan, Fink, Olga
Signal denoising is a key preprocessing step for many applications, as the performance of a learning task is closely related to the quality of the input data. In this paper, we apply a signal processing based deep neural network architecture, a learn
Externí odkaz:
http://arxiv.org/abs/2206.06126