Prognostics and health management in nuclear power plants: An updated method-centric review with special focus on data-driven methods
In a carbon-constrained world, future uses of nuclear power technologies can contribute to
climate change mitigation as the installed electricity generating capacity and range of …
climate change mitigation as the installed electricity generating capacity and range of …
Fault diagnosis techniques for nuclear power plants: a review from the artificial intelligence perspective
Fault diagnosis plays an important role in complex and safety-critical systems such as
nuclear power plants (NPPs). With the development of artificial intelligence (AI), extensive …
nuclear power plants (NPPs). With the development of artificial intelligence (AI), extensive …
An artificial neural network model supported with multi criteria decision making approaches for maintenance planning in hydroelectric power plants
Power plants are the large-scale production facilities with the main purpose of realizing
uninterrupted, reliable, efficient, economic and environmentally friendly energy generation …
uninterrupted, reliable, efficient, economic and environmentally friendly energy generation …
Prediction of remaining useful life by data augmentation technique based on dynamic time war**
In the data-driven approaches for engineering prognostics, the lack of run-to-fail (RTF) data
has been one of the bottlenecks that hinders practical applications in the field. In order to …
has been one of the bottlenecks that hinders practical applications in the field. In order to …
[HTML][HTML] Improved PCA method for sensor fault detection and isolation in a nuclear power plant
W Li, M Peng, Q Wang - Nuclear Engineering and Technology, 2019 - Elsevier
An improved principal component analysis (PCA) method is applied for sensor fault
detection and isolation (FDI) in a nuclear power plant (NPP) in this paper. Data pre …
detection and isolation (FDI) in a nuclear power plant (NPP) in this paper. Data pre …
Challenges and opportunities of system-level prognostics
Prognostics and health management (PHM) has become an essential function for safe
system operation and scheduling economic maintenance. To date, there has been much …
system operation and scheduling economic maintenance. To date, there has been much …
Application of the artificial neural network method to detect defective assembling processes by using a wearable technology
Abstract Recently, the Industry 4.0 connects production processes and smart production
technologies to lead up to a new technological age. The Industry 4.0 utilizes digital …
technologies to lead up to a new technological age. The Industry 4.0 utilizes digital …
An approach for reliability prediction of instrumentation & control cables by artificial neural networks and Weibull theory for probabilistic safety assessment of NPPs
TV Santhosh, V Gopika, AK Ghosh… - Reliability Engineering & …, 2018 - Elsevier
The polymeric materials used for insulation and sheath in instrumentation and control (I&C)
cables of nuclear power plants (NPPs) are subjected to degradation due to various …
cables of nuclear power plants (NPPs) are subjected to degradation due to various …
Advances in Fibre Bragg Grating (FBG) Sensing: A Review of Conventional and New Approaches and Novel Sensing Materials in Harsh and Emerging Industrial …
SP Kok, Y li Go, X Wang, MLD Wong - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Sensing technology plays an important role in enabling innovation and efficiency in diverse
industries, particularly in harsh and emerging environments where conventional sensing …
industries, particularly in harsh and emerging environments where conventional sensing …
[HTML][HTML] Development of deep autoencoder-based anomaly detection system for HANARO
The high-flux advanced neutron application reactor (HANARO) is a multi-purpose research
reactor at the Korea Atomic Energy Research Institute (KAERI). HANARO has been used in …
reactor at the Korea Atomic Energy Research Institute (KAERI). HANARO has been used in …