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 …
Diagnostics and Prognostics in Power Plants: A systematic review
W Cheng, H Ahmad, L Gao, J Xing, Z Nie… - Reliability Engineering & …, 2024 - Elsevier
Failures in power plants can lead to significant power interruptions and economic losses.
Prognostics and Health Management (PHM) serves as a predictive maintenance technique …
Prognostics and Health Management (PHM) serves as a predictive maintenance technique …
Advanced statistical and meta-heuristic based optimization fault diagnosis techniques in complex industrial processes: a comparative analysis
Industrial processes are nonlinear and complicated in nature, requiring accurate fault
detection to minimize the deterioration in performance and to respond quickly to …
detection to minimize the deterioration in performance and to respond quickly to …
Gaussian discriminative analysis aided GAN for imbalanced big data augmentation and fault classification
With data in industrial processes being larger in scale and easier to access, data-driven
technologies have become more prevalent in process monitoring. Fault classification is an …
technologies have become more prevalent in process monitoring. Fault classification is an …
A novel hybrid classification method based on the opposition-based seagull optimization algorithm
H Jiang, Y Yang, W Ping, Y Dong - IEEE Access, 2020 - ieeexplore.ieee.org
In practice, classification problems have appeared in many scientific fields, including
finance, medicine and industry. It is critically important to develop an effective and accurate …
finance, medicine and industry. It is critically important to develop an effective and accurate …
A combined model based on feature selection and support vector machine for PM2. 5 prediction
X Lai, H Li, Y Pan - Journal of Intelligent & Fuzzy Systems, 2021 - content.iospress.com
With the increasing attention to the environment and air quality, PM2. 5 has been paid more
and more attention. It is expected to excavate useful information in meteorological data to …
and more attention. It is expected to excavate useful information in meteorological data to …
Fault classification of power plants using artificial neural network
MS Hassan, K Kamal… - Energy Sources, Part A …, 2022 - Taylor & Francis
In order to run power plant operations smoothly, power plant faults need to be detected,
located, and classified quickly. For this, artificial neural network approaches are considered …
located, and classified quickly. For this, artificial neural network approaches are considered …
[PDF][PDF] An Insight Survey on Sensor Errors and Fault Detection Techniques in Smart Spaces.
The widespread adoption of the Internet of Things (IoT) has transformed various sectors
globally, making them more intelligent and connected. However, this advancement comes …
globally, making them more intelligent and connected. However, this advancement comes …
Data-driven fault diagnostics for industrial processes: An application to Penicillin fermentation process
We consider the problem of fault detection and isolation for the penicillin fermentation
process. A penicillin fermentation process is a highly complex and nonlinear dynamic …
process. A penicillin fermentation process is a highly complex and nonlinear dynamic …
Condition assessment of nuclear power plant equipment based on machine learning methods: A review
Y Xu, Y Cai, L Song - Nuclear Technology, 2023 - Taylor & Francis
The condition assessment of equipment in nuclear power plants (NPPs) could provide
essential information for operation and maintenance decisions, which would have a …
essential information for operation and maintenance decisions, which would have a …