Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0

By Alberto Diez-Olivan, Javier Del Ser, D. Galar, B. Sierra. 2019

565 citations recorded by the source corpus.

The so-called “smartization” of manufacturing industries has been conceived as the fourth industrial revolution or Industry 4.0, a paradigm shift propelled by the upsurge and progressive maturity o ...

Subfields: Control and Systems Engineering, Industrial and Manufacturing Engineering, Statistics and Probability, ML Systems & Hardware

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Francesco Piccialli

Citations in the corpus

Artificial intelligence in business: State of the art and future research agenda (2020, background): “0 is already a reality in many medium-to-large companies (Diez-Olivan et al., 2019; Ghobakhloo, 2018).”
The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review (2020, methodology): “CPS, IoT and IoS constitute the architecture of smart factory, digitising the processes, assets, products and operators (Diez-Olivan et al. 2019; Ghobakhloo 2018; Wang, Wan, Li, et al.2016; Wang, Wan, Zhang, et al. 2016).”
An Overview of IoT Sensor Data Processing, Fusion, and Analysis Techniques (2020, methodology): “Knowledge-based methods include artiﬁcial neural networks, fuzzy logic, genetic algorithms, etc. [55,56].”
Tackling Faults in the Industry 4.0 Era—A Survey of Machine-Learning Solutions and Key Aspects (2019, methodology): “The application of BDA and data fusion for predictive maintenance purposes has been recently investigated within the contexts of semiconductor manufacturing and smart factories, in References [60,61], respectively.”
State-of-Health Estimation of Lithium-Ion Batteries by Fusing an Open Circuit Voltage Model and Incremental Capacity Analysis (2022, methodology): “In addition, popular techniques to implement the data fusion are Bayesian approaches, Kalman filter methods, Dempster–Shafer evidential theory, Fuzzy logic, weighted combinations, and machine learning algorithms [44], [45].”
From Artificial Intelligence to Explainable Artificial Intelligence in Industry 4.0: A Survey on What, How, and Where (2022, methodology): “Researchers in [12], utilized data fusion, ML, based methods, e.”