A systematic review of advanced sensor technologies for non-destructive testing and structural health monitoring
S Hassani, U Dackermann - Sensors, 2023 - mdpi.com
This paper reviews recent advances in sensor technologies for non-destructive testing
(NDT) and structural health monitoring (SHM) of civil structures. The article is motivated by …
(NDT) and structural health monitoring (SHM) of civil structures. The article is motivated by …
Applications of machine learning to machine fault diagnosis: A review and roadmap
Intelligent fault diagnosis (IFD) refers to applications of machine learning theories to
machine fault diagnosis. This is a promising way to release the contribution from human …
machine fault diagnosis. This is a promising way to release the contribution from human …
A review on vibration-based condition monitoring of rotating machinery
Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal
functioning states are related to specific patterns that can be extracted from vibration signals …
functioning states are related to specific patterns that can be extracted from vibration signals …
A novel approach of multisensory fusion to collaborative fault diagnosis in maintenance
Collaborative fault diagnosis can be facilitated by multisensory fusion technologies, as these
can give more reliable results with a more complete data set. Although deep learning …
can give more reliable results with a more complete data set. Although deep learning …
Bearing fault detection and diagnosis using case western reserve university dataset with deep learning approaches: A review
A smart factory is a highly digitized and connected production facility that relies on smart
manufacturing. Additionally, artificial intelligence is the core technology of smart factories …
manufacturing. Additionally, artificial intelligence is the core technology of smart factories …
Artificial intelligence for fault diagnosis of rotating machinery: A review
Fault diagnosis of rotating machinery plays a significant role for the reliability and safety of
modern industrial systems. As an emerging field in industrial applications and an effective …
modern industrial systems. As an emerging field in industrial applications and an effective …
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] Fault diagnosis in industrial rotating equipment based on permutation entropy, signal processing and multi-output neuro-fuzzy classifier
Rotating equipment is considered as a key component in several industrial sectors. In fact,
the continuous operation of many industrial machines such as sub-sea pumps and gas …
the continuous operation of many industrial machines such as sub-sea pumps and gas …
Deep learning for prognostics and health management: State of the art, challenges, and opportunities
B Rezaeianjouybari, Y Shang - Measurement, 2020 - Elsevier
Improving the reliability of engineered systems is a crucial problem in many applications in
various engineering fields, such as aerospace, nuclear energy, and water declination …
various engineering fields, such as aerospace, nuclear energy, and water declination …
Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach: A review of two decades of research
Industry 4.0 is an era of smart manufacturing. Manufacturing is impossible without the use of
machinery. The majority of these machines comprise rotating components and are called …
machinery. The majority of these machines comprise rotating components and are called …