Titlebook: Advances in Condition Monitoring and Structural Health Monitoring; WCCM 2019 Len Gelman,Nadine Martin,Chin Kian (Edmund) Liew Conference pr

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,Subsets of ?1 constructible from a real, channel. This paper proposes a non-regular sampling strategy via compressive sensing to significantly reduce the sampling frequency (below the Nyquist limit) and the data size, while preserving enough information for diagnosis. It is based on the hypothesis that the measured signal consists of a su

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Spain: A Prime Ministerial Government,interferential frequencies are extracted and removed, and the processed signals are used to monitor the gearbox. The availability of this method was verified by simulated and experimental signal analysis in gearbox condition monitoring.

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Electromagnetic Coupling and Shielding, and are thus not scalable for fast inference in high dimensional problems. In this paper, we thus propose fast alternatives based on Expectation-Propagation (EP) methods, which aim at approximating complex distributions by more tractable models to simplify the inference process. The main problem ad

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https://doi.org/10.1007/978-981-99-3208-5rate external information via appropriate weights that allow detection performance to be improved. After recalling the main steps of an existing AD method based on a sparse decomposition Pilastre et al (Sign Proc, 2019 [.]) for multivariate telemetry data, we investigate a weighted version of this m