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An unsupervised and enhanced deep belief network for bearing performance degradation assessment

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0 Published in 2020 at "Measurement"

DOI: 10.1016/j.measurement.2020.107902

Abstract: Abstract An improved unsupervised deep belief network (DBN), namely median filtering deep belief network (MFDBN) model is proposed in this paper through median filtering (MF) for bearing performance degradation. MFDBN has the following advantages: (1)… read more here.

Keywords: degradation; belief network; bearing performance; deep belief ... See more keywords

Bearing performance degradation assessment based on optimized EWT and CNN

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1 Published in 2020 at "Measurement"

DOI: 10.1016/j.measurement.2020.108868

Abstract: Abstract In the process of bearing degradation assessment, problems such as modal aliasing and early failure samples being submerged by normal samples are the main factors that limit the performance of the assessment method. A… read more here.

Keywords: assessment; degradation assessment; ewt; bearing performance ... See more keywords

Bearing performance degradation assessment based on a combination of empirical mode decomposition and k-medoids clustering

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0 Published in 2017 at "Mechanical Systems and Signal Processing"

DOI: 10.1016/j.ymssp.2017.02.003

Abstract: Abstract Bearing is the most critical component in rotating machinery since it is more susceptible to failure. The monitoring of degradation in bearings becomes of great concern for averting the sudden machinery breakdown. In this… read more here.

Keywords: degradation; bearing performance; medoids clustering; pda ... See more keywords

Bearing Performance Degradation Assessment Based on Ensemble Empirical Mode Decomposition and Affinity Propagation Clustering

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0 Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2913186

Abstract: As key components in a rotating machinery system, bearings affect the safety of the entire mechanical system. Hence, early-stage monitor of bearing degradation is critical to avoid abrupt mechanical system failure. In this paper, a… read more here.

Keywords: decomposition; based ensemble; ensemble empirical; degradation ... See more keywords

Study on mechanical and thermal characteristics evolvement rule of bearing over the performance degradation process affected by abrasive particles

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0 Published in 2022 at "Advances in Mechanical Engineering"

DOI: 10.1177/16878132221107491

Abstract: In this paper, the thermomechanical characteristics of microturbine bearing during the process of bearing performance decay due to abrasive particles are theoretically and experimentally researched, such as contact characteristic, temperature characteristics, and stiffness characteristic, are… read more here.

Keywords: bearing performance; contact; abrasive particles; inner ring ... See more keywords