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Francesca Calabrese, Alberto Regattieri, Raffaele Piscitelli, Marco Bortolini and Francesco Gabriele Galizia
Extracting representative feature sets from raw signals is crucial in Prognostics and Health Management (PHM) for components? behavior understanding. The literature proposes various methods, including signal processing in the time, frequency, and time?fr...
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Mariana Cardona, Michael Cifuentes, Byron Hernandez and William Prado
Data collection is one of the most relevant topics of modern automation and industry. It is usually a costly and time-consuming task, especially in continuous processes. Our case study takes place in a sugar cane mill. The required continuous operation o...
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Laith Shalalfeh and Ashraf AlShalalfeh
Prognostic techniques play a critical role in predicting upcoming faults and failures in machinery or a system by monitoring any deviation in the operation. This paper presents a novel method to analyze multidimensional sensory data and use its character...
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Yu Wang, Dejun Ning and Songlin Feng
In the prognostics health management (PHM) of rotating machinery, the accurate identification of bearing fault is critical. In recent years, various deep learning methods can well identify bearing fault based on monitoring data. However, facing changing ...
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