A modified neighborhood preserving embedding-based incipient fault detection with applications to small-scale cyber-physical systems.
Sign Up to like & getrecommendations! Published in 2019 at "ISA transactions"
DOI: 10.1016/j.isatra.2019.08.022
Abstract: Industrial cyber-physical systems (ICPSs) are backbones of the Industrial 4.0 where control, physical entities, and monitoring are intensively interacted. Aiming to improve safety of a small-scale ICPS whose physical entity is an electrical drive system,… read more here.
Keywords: detection; cyber physical; preserving embedding; small scale ... See more keywords
NNNPE: non-neighbourhood and neighbourhood preserving embedding
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DOI: 10.1080/09540091.2022.2133082
Abstract: ABSTRACT Manifold learning is an important class of methods for nonlinear dimensionality reduction. Among them, the LLE optimisation goal is to maintain the relationship between local neighbourhoods in the original embedding manifold to reduce dimensionality,… read more here.
Keywords: neighbourhood; dimensionality reduction; embedding nnnpe; nnnpe non ... See more keywords
Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding
Sign Up to like & getrecommendations! Published in 2017 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2015.2407393
Abstract: In recent years, a remarkable amount of protein-protein interaction (PPI) data are being available owing to the advance made in experimental high-throughput technologies. However, the experimentally detected PPI data usually contain a large amount of… read more here.
Keywords: protein interaction; similarity preserving; protein protein; local similarity ... See more keywords
Robust Flexible Preserving Embedding
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2019.2953922
Abstract: Neighborhood preserving embedding (NPE) has been proposed to encode overall geometry manifold embedding information. However, the class-special structure of the data is destroyed by noise or outliers existing in the data. To address this problem,… read more here.
Keywords: rfpe; flexible preserving; geometry; robust flexible ... See more keywords
A Robust Fault Detection Method Based on Neighborhood Preserving Embedding
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3218557
Abstract: Industrial data are in general corrupted by noises and outliers, which do not meet the application assumptions in neighborhood preserving embedding (NPE). Many existing NPE-like algorithms are not robust, overly consider the local features of… read more here.
Keywords: dimensionality; features data; fault detection; preserving embedding ... See more keywords
Nonlinear Model for Condition Monitoring and Fault Detection Based on Nonlocal Kernel Orthogonal Preserving Embedding
Sign Up to like & getrecommendations! Published in 2018 at "Shock and Vibration"
DOI: 10.1155/2018/5794513
Abstract: The dimension reduction methods have been proved powerful and practical to extract latent features in the signal for process monitoring. A linear dimension reduction method called nonlocal orthogonal preserving embedding (NLOPE) and its nonlinear form… read more here.
Keywords: orthogonal preserving; fault detection; kernel orthogonal; condition monitoring ... See more keywords
Batch process monitoring based on global enhanced multiple neighborhoods preserving embedding
Sign Up to like & getrecommendations! Published in 2022 at "Transactions of the Institute of Measurement and Control"
DOI: 10.1177/01423312211044742
Abstract: Batch process generally has varying dynamic characteristic that causes low fault detection rate and high false alarm rate, and it is necessary and urgent to monitor batch process. This paper proposes a global enhanced multiple… read more here.
Keywords: global enhanced; preserving embedding; enhanced multiple; process ... See more keywords