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Reliability Engineering & System Safety
Scopus
ISSN 0951-8320 · Elsevier BV · 13 artikel di indeks
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Artikel Jurnal
A hybrid prognosis scheme for rolling bearings based on a novel health indicator and nonlinear Wiener process
This paper proposes a novel hybrid method aiming at the fault prognosis of bearings. A nonlinear health indicator is first constructed using Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Kernel Principal Component Analysis to reflect the health state of a bearing accurately…
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Artikel Jurnal Teks lengkap
Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearing
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Artikel Jurnal Teks lengkap
Data-driven Bayesian network for risk analysis of global maritime accidents
Maritime risk research often suffers from insufficient data for accurate prediction and analysis. This paper aims to conduct a new risk analysis by incorporating the latest maritime accident data into a Bayesian network (BN) model to analyze the key risk influential factors (RIFs) in the maritime…
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Artikel Jurnal Teks lengkap
Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning
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Artikel Jurnal Teks lengkap
Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice
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Artikel Jurnal Teks lengkap
Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry
Recent developments in maintenance modelling fuelled by data-based approaches such as machine learning (ML), have enabled a broad range of applications. In the automotive industry, ensuring the functional safety over the product life cycle while limiting maintenance costs has become a major…
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Artikel Jurnal Teks lengkap
Infrastructure resilience curves: Performance measures and summary metrics
Resilience curves are used to communicate quantitative and qualitative aspects of system behavior and resilience to stakeholders of critical infrastructure. Generally, these curves illustrate the evolution of system performance before, during, and after a disruption. As simple as these curves may…
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Artikel Jurnal Teks lengkap
Multi-scale deep intra-class transfer learning for bearing fault diagnosis