Predictive maintenance in the Industry 4.0: A systematic literature review
Industry 4.0 is collaborating directly for the technological revolution. Both machines and
managers are daily confronted with decision making involving a massive input of data and …
managers are daily confronted with decision making involving a massive input of data and …
Prognostics and health management: A review from the perspectives of design, development and decision
Prognostics and health management (PHM) is an enabling technology used to maintain the
reliable, efficient, economic and safe operation of engineering equipment, systems and …
reliable, efficient, economic and safe operation of engineering equipment, systems and …
Towards multi-model approaches to predictive maintenance: A systematic literature survey on diagnostics and prognostics
The use of a modern technological system requires a good engineering approach,
optimized operations, and proper maintenance in order to keep the system in an optimal …
optimized operations, and proper maintenance in order to keep the system in an optimal …
Remaining useful lifetime prediction via deep domain adaptation
Abstract In Prognostics and Health Management (PHM) sufficient prior observed
degradation data is usually critical for Remaining Useful Lifetime (RUL) prediction. Most …
degradation data is usually critical for Remaining Useful Lifetime (RUL) prediction. Most …
A review of artificial intelligence methods for engineering prognostics and health management with implementation guidelines
The past decade has witnessed the adoption of artificial intelligence (AI) in various
applications. It is of no exception in the area of prognostics and health management (PHM) …
applications. It is of no exception in the area of prognostics and health management (PHM) …
Remaining useful life prediction of aero-engine enabled by fusing knowledge and deep learning models
Y Li, Y Chen, Z Hu, H Zhang - Reliability Engineering & System Safety, 2023 - Elsevier
The remaining useful life (RUL) prediction of a complex engineering system is extremely
significant for ensuring system reliability. The conventional prediction of the RUL based on …
significant for ensuring system reliability. The conventional prediction of the RUL based on …
Review of battery state estimation methods for electric vehicles-Part II: SOH estimation
State of Health (SOH) significantly determines the performance and durability of EV
batteries, with Battery Management System (BMS) playing a crucial role in enhancing their …
batteries, with Battery Management System (BMS) playing a crucial role in enhancing their …
Data-driven fault diagnosis for electric drives: A review
The need to manufacture more competitive equipment, together with the emergence of the
digital technologies from the so-called Industry 4.0, have changed many paradigms of the …
digital technologies from the so-called Industry 4.0, have changed many paradigms of the …
[HTML][HTML] Predictive maintenance for multi-component systems of repairables with Remaining-Useful-Life prognostics and a limited stock of spare components
Aircraft maintenance is undergoing a paradigm shift towards predictive maintenance, where
the use of sensor data and Remaining-Useful-Life prognostics are central. This paper …
the use of sensor data and Remaining-Useful-Life prognostics are central. This paper …
A predictive maintenance model for optimizing production schedule using deep neural networks
Abstract Industry 4.0 (I4. 0) provides connectivity, data volume, new devices, miniaturization,
inventory reduction, personalization, and controlled production. In this new era …
inventory reduction, personalization, and controlled production. In this new era …