Prognostics and remaining useful life prediction of machinery: advances, opportunities and challenges
As the fundamental and key technique to ensure the safe and reliable operation of vital
systems, prognostics with an emphasis on the remaining useful life (RUL) prediction has …
systems, prognostics with an emphasis on the remaining useful life (RUL) prediction has …
Overview of explainable artificial intelligence for prognostic and health management of industrial assets based on preferred reporting items for systematic reviews and …
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 …
Adversarial regressive domain adaptation approach for infrared thermography-based unsupervised remaining useful life prediction
Infrared thermography provides abundant spatiotemporal degradation information,
facilitating non-contact condition monitoring. Reducing domain shift between simulated and …
facilitating non-contact condition monitoring. Reducing domain shift between simulated and …
Joint modeling of degradation and lifetime data for RUL prediction of deteriorating products
Degradation is one of the major root causes of system failure. In some applications, the
degradation levels are different upon failure, in which the fixed failure threshold assumption …
degradation levels are different upon failure, in which the fixed failure threshold assumption …
Artificial intelligence enhanced fault prediction with industrial incomplete information
With the rapid advancement of sensor and information technology, fault prediction for
industrial equipment has become increasingly feasible. However, accurate fault prediction is …
industrial equipment has become increasingly feasible. However, accurate fault prediction is …
Business analytics in Industry 4.0: A systematic review
Abstract Recently, the term “Industry 4.0” has emerged to characterize several Information
Technology and Communication (ICT) adoptions in production processes (eg, Internet‐of …
Technology and Communication (ICT) adoptions in production processes (eg, Internet‐of …
[HTML][HTML] Adoptable approaches to predictive maintenance in mining industry: An overview
The mining industry contributes to the expansion of the global economy by generating vital
commodities. For continuous production, the industry relies significantly on machinery and …
commodities. For continuous production, the industry relies significantly on machinery and …
Bayesian convolutional neural networks for remaining useful life prognostics of solenoid valves with uncertainty estimations
G Mazaev, G Crevecoeur… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Solenoid valves (SV) are essential components of industrial systems and therefore widely
used. As they suffer from high failure rates in the field, fault prognosis of these assets plays a …
used. As they suffer from high failure rates in the field, fault prognosis of these assets plays a …
A Systematic Literature Review on Artificial Intelligence and Explainable Artificial Intelligence for Visual Quality Assurance in Manufacturing
R Hoffmann, C Reich - Electronics, 2023 - mdpi.com
Quality assurance (QA) plays a crucial role in manufacturing to ensure that products meet
their specifications. However, manual QA processes are costly and time-consuming, thereby …
their specifications. However, manual QA processes are costly and time-consuming, thereby …
Spatiotemporal denoising wavelet network for infrared thermography-based machine prognostics integrating ensemble uncertainty
Infrared thermography (IRT) is increasingly deployed in noncontact condition monitoring,
and further facilitates the machinery remaining useful life (RUL) prediction. For IRT-based …
and further facilitates the machinery remaining useful life (RUL) prediction. For IRT-based …