S
Shubin Si
Researcher at Northwestern Polytechnical University
Publications - 147
Citations - 2612
Shubin Si is an academic researcher from Northwestern Polytechnical University. The author has contributed to research in topics: Computer science & Bayesian network. The author has an hindex of 24, co-authored 128 publications receiving 1772 citations.
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A big data analytics architecture for cleaner manufacturing and maintenance processes of complex products
TL;DR: An overall architecture of big data-based analytics for product lifecycle (BDA-PL) was proposed that integrated big data analytics and service-driven patterns that helped to overcome barriers in the implementation of CP.
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Real-time information capturing and integration framework of the internet of manufacturing things
TL;DR: A real-time information capturing and integration architecture of the internet of manufacturing things (IoMT) is presented to provide a new paradigm by extending the techniques of IoT to manufacturing field.
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The Entropy Algorithm and Its Variants in the Fault Diagnosis of Rotating Machinery: A Review
TL;DR: This paper aims to investigate the applications of entropy for the fault characteristics extraction of rotating machines and reviews the applications using the original entropy method and the improved entropy methods, respectively.
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Entropy Based Fault Classification Using the Case Western Reserve University Data: A Benchmark Study
TL;DR: The main contribution of this paper is applying entropy-based fault classification methods to establish a benchmark analysis of entire CWRU datasets, aiming to provide a proper assessment of any new classification methods.
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Integrated Importance Measure of Component States Based on Loss of System Performance
TL;DR: The results show that IIM can be used to identify the key state of a component that affects the system performance most and the IIM of component states concerns not only the probability distributions and transition intensities of the states of the object component, but also the change in theSystem performance under the change of the state distribution of theobject component.