Robust neural networks with random weights based on generalized M-estimation and PLS for imperfect industrial data modeling
Sign Up to like & getrecommendations! Published in 2020 at "Control Engineering Practice"
DOI: 10.1016/j.conengprac.2020.104633
Abstract: Abstract Actual industrial data inevitably contain a variety of outliers for various reasons. Even a single outlier may have a large distortion effect on modeling performance with conventional algorithms, not to mention the complicated process… read more here.
Keywords: generalized estimation; industrial data; robust neural; imperfect industrial ... See more keywords
Augmented Industrial Data-Driven Modeling Under the Curse of Dimensionality
Sign Up to like & getrecommendations! Published in 2023 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2023.123396
Abstract: The curse of dimensionality refers to the problem of increased sparsity and computational complexity when dealing with high-dimensional data. In recent years, the types and variables of industrial data have increased significantly, making data-driven models… read more here.
Keywords: augmented industrial; industrial data; curse dimensionality; data driven ... See more keywords
Mixed-criticality Industrial Data Scheduling on 5G NR
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3121251
Abstract: Compared to industrial wired networks, 5G can improve device mobility and reduce the cost of networking. However, the real-time performance and reliability of 5G NR (new radio) still need to be improved to satisfy industrial… read more here.
Keywords: criticality; performance; mixed criticality; industrial data ... See more keywords
A Robust Fault Classification Method for Streaming Industrial Data Based on Wasserstein Generative Adversarial Network and Semi-Supervised Ladder Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3262249
Abstract: With the development of modern information technology, the collection, storage, and transmission of information in the process industry have been gaining popularity. However, the massive streaming industrial data obtained in real time have some nonideal… read more here.
Keywords: network; streaming industrial; classification; industrial data ... See more keywords
Composition-Processing-Property Correlation Mining of Nb–Ti Microalloyed Steel Based on Industrial Data
Sign Up to like & getrecommendations! Published in 2020 at "Materials Transactions"
DOI: 10.2320/matertrans.mt-m2019172
Abstract: Modeling strength of hot rolled strip based on industrial data may cause misleading predictions because of the high dimension, low quality and unbalanced original data. Industrial data processing is essential to building a successful composition-process-property… read more here.
Keywords: based industrial; correlation; microalloyed steel; property ... See more keywords