Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0
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 …
industrial revolution or Industry 4.0, a paradigm shift propelled by the upsurge and …
[HTML][HTML] Explainable artificial intelligence in information systems: A review of the status quo and future research directions
The quest to open black box artificial intelligence (AI) systems evolved into an emerging
phenomenon of global interest for academia, business, and society and brought about the …
phenomenon of global interest for academia, business, and society and brought about the …
Viral outbreaks detection and surveillance using wastewater-based epidemiology, viral air sampling, and machine learning techniques: A comprehensive review and …
A viral outbreak is a global challenge that affects public health and safety. The coronavirus
disease 2019 (COVID-19) has been spreading globally, affecting millions of people …
disease 2019 (COVID-19) has been spreading globally, affecting millions of people …
Machine learning for anomaly detection and process phase classification to improve safety and maintenance activities
E Quatrini, F Costantino, G Di Gravio… - Journal of Manufacturing …, 2020 - Elsevier
Anomaly detection is a crucial aspect for both safety and efficiency of modern process
industries. This paper proposes a two-steps methodology for anomaly detection in industrial …
industries. This paper proposes a two-steps methodology for anomaly detection in industrial …
Dynamic process fault detection and diagnosis based on a combined approach of hidden Markov and Bayesian network model
The present study introduces a novel methodology for fault detection and diagnosis (FDD),
based on a combined approach of data and process knowledge driven techniques. The …
based on a combined approach of data and process knowledge driven techniques. The …
From forest to finished products: The contribution of Industry 4.0 technologies to the wood sector
M Molinaro, G Orzes - Computers in Industry, 2022 - Elsevier
This study offers a Systematic Literature Review of the main applications of Industry 4.0
technologies in the wood sector, from forest management and raw materials production to …
technologies in the wood sector, from forest management and raw materials production to …
[HTML][HTML] Overview of explainable artificial intelligence for prognostic and health management of industrial assets based on preferred reporting items for systematic …
Surveys on explainable artificial intelligence (XAI) are related to biology, clinical trials,
fintech management, medicine, neurorobotics, and psychology, among others. Prognostics …
fintech management, medicine, neurorobotics, and psychology, among others. Prognostics …
An extended Tennessee Eastman simulation dataset for fault-detection and decision support systems
Abstract The Tennessee Eastman Process (TEP) is a frequently used benchmark in
chemical engineering research. An extended simulator, published in 2015, enables a more …
chemical engineering research. An extended simulator, published in 2015, enables a more …
[HTML][HTML] Machine learning techniques for satellite fault diagnosis
SK Ibrahim, A Ahmed, MAE Zeidan, IE Ziedan - Ain Shams Engineering …, 2020 - Elsevier
Satellites are known as a remotely operated systems with high degree of complexity due to
large number of interconnected devices onboard the satellite. Consequently, it has …
large number of interconnected devices onboard the satellite. Consequently, it has …
XFDDC: eXplainable Fault Detection Diagnosis and Correction framework for chemical process systems
RRA Harinarayan, SM Shalinie - Process Safety and Environmental …, 2022 - Elsevier
Industry 4.0 process fault detection and diagnosis (FDD) is built on the foundations of
Industrial Internet of Things (IIoT) for sensing and artificial intelligence for recognizing …
Industrial Internet of Things (IIoT) for sensing and artificial intelligence for recognizing …