Challenges and opportunities of AI-enabled monitoring, diagnosis & prognosis: A review
Abstract Prognostics and Health Management (PHM), including monitoring, diagnosis,
prognosis, and health management, occupies an increasingly important position in reducing …
prognosis, and health management, occupies an increasingly important position in reducing …
Internet of ships: A survey on architectures, emerging applications, and challenges
The recent emergence of Internet-of-Things (IoT) technologies in mission-critical
applications in the maritime industry has led to the introduction of the Internet-of-Ships (IoS) …
applications in the maritime industry has led to the introduction of the Internet-of-Ships (IoS) …
Fusing physics-based and deep learning models for prognostics
Physics-based and data-driven models for remaining useful lifetime (RUL) prediction
typically suffer from two major challenges that limit their applicability to complex real-world …
typically suffer from two major challenges that limit their applicability to complex real-world …
A review on deep learning applications in prognostics and health management
Deep learning has attracted intense interest in Prognostics and Health Management (PHM),
because of its enormous representing power, automated feature learning capability and best …
because of its enormous representing power, automated feature learning capability and best …
Abnormality detection and failure prediction using explainable Bayesian deep learning: Methodology and case study with industrial data
Mistrust, amplified by numerous artificial intelligence (AI) related incidents, is an issue that
has caused the energy and industrial sectors to be amongst the slowest adopter of AI …
has caused the energy and industrial sectors to be amongst the slowest adopter of AI …
A review of deep learning based anomaly detection strategies in Industry 4.0 focused on application fields, sensing equipment and algorithms
Anomaly detection is a topic of interest in several areas, ranging from Industry 4.0 to Energy
Management, Smart Agriculture, Cybersecurity, and Bioinformatics. In a wide sense …
Management, Smart Agriculture, Cybersecurity, and Bioinformatics. In a wide sense …
Lightweight bidirectional long short-term memory based on automated model pruning with application to bearing remaining useful life prediction
J Sun, X Zhang, J Wang - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Rolling bearings are key components in industrial machinery, and their remaining useful life
(RUL) prediction plays a prominent part in machine safety and maintenance. Bidirectional …
(RUL) prediction plays a prominent part in machine safety and maintenance. Bidirectional …
Fault prognostics using LSTM networks: application to marine diesel engine
Maintenance is the key to ensuring the safe and efficient operation of marine vessels.
Currently, reactive maintenance and preventive maintenance are two main approaches …
Currently, reactive maintenance and preventive maintenance are two main approaches …
Remaining Useful Life Estimation of Turbofan Engines with Deep Learning Using Change-Point Detection Based Labeling and Feature Engineering
Accurate remaining useful life (RUL) prediction is one of the most challenging problems in
the prognostics of turbofan engines. Recently, RUL prediction methods for turbofan engines …
the prognostics of turbofan engines. Recently, RUL prediction methods for turbofan engines …
Data-Driven Models Applied to Predictive and Prescriptive Maintenance of Wind Turbine: A Systematic Review of Approaches Based on Failure Detection, Diagnosis …
RAF Santiago, NB Barbosa, HG Mergulhão… - Energies, 2024 - mdpi.com
Wind energy has achieved a leading position among renewable energies. The global
installed capacity in 2022 was 906 GW of power, with a growth of 8.4% compared to the …
installed capacity in 2022 was 906 GW of power, with a growth of 8.4% compared to the …