Cristobal Ruiz-Carcel

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In this paper, a technique of merging typical process data with variables containing fast periodic oscillations is proposed for the purpose of detecting faults in industrial systems working under variable operating conditions. Analysing windows of the fast-oscillating signals allowed key features to be extracted from the data at the same rate at which the(More)
The ability to detect and diagnose faults in rolling element bearings is crucial for modern maintenance schemes. Several techniques have been developed to improve the ability of fault detection in bearings using vibration monitoring, especially in those cases where the vibration signal is contaminated by background noise. Linear Prediction and Self-Adaptive(More)
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