AutoML-ID: Automated machine learning model for intrusion detection using wireless sensor network
Momentous increase in the popularity of explainable machine learning models coupled with
the dramatic increase in the use of synthetic data facilitates us to develop a cost-efficient …
the dramatic increase in the use of synthetic data facilitates us to develop a cost-efficient …
Merging data sources to predict remaining useful life–an automated method to identify prognostic parameters
JB Coble - 2010 - trace.tennessee.edu
The ultimate goal of most prognostic systems is accurate prediction of the remaining useful
life (RUL) of individual systems or components based on their use and performance. This …
life (RUL) of individual systems or components based on their use and performance. This …
[HTML][HTML] Application of monitoring, diagnosis, and prognosis in thermal performance analysis for nuclear power plants
As condition-based maintenance (CBM) has risen as a new trend, there has been an active
movement to apply information technology for effective implementation of CBM in power …
movement to apply information technology for effective implementation of CBM in power …
A review of data mining techniques and applications
Data mining is the analytics and knowledge discovery process of analyzing large volumes of
data from various sources and transforming the data into useful information. Various …
data from various sources and transforming the data into useful information. Various …
A denoising based autoassociative model for robust sensor monitoring in nuclear power plants
Sensors health monitoring is essentially important for reliable functioning of safety‐critical
chemical and nuclear power plants. Autoassociative neural network (AANN) based …
chemical and nuclear power plants. Autoassociative neural network (AANN) based …
Internal leakage detection for feedwater heaters in power plants using neural networks
G Heo, SK Lee - Expert Systems with Applications, 2012 - Elsevier
As interest in safety and performance of power plants becomes more serious and wide-
ranging, the significance of research on turbine cycles has attracted more attention. This …
ranging, the significance of research on turbine cycles has attracted more attention. This …
Identification of the degradation state for condition-based maintenance of insulated gate bipolar transistors: A self-organizing map approach
This paper presents an approach for the detection of the degradation onset and the
identification of the degradation state of industrial components with inhomogeneous …
identification of the degradation state of industrial components with inhomogeneous …
[HTML][HTML] Incorporating prior belief in the general path model: A comparison of information sources
The general path model (GPM) is one approach for performing degradation-based, or Type
III, prognostics. The GPM fits a parametric function to the collected observations of a …
III, prognostics. The GPM fits a parametric function to the collected observations of a …
Plant health index as an anomaly detection tool for oil refinery processes
FS Al-Anzi, HMS Lababidi, G Al-Sharrah… - Scientific Reports, 2022 - nature.com
Early detection of significant abnormal changes is highly desirable for oil refinery processes,
which consist of sophisticated unit operations handling hazardous and flammable …
which consist of sophisticated unit operations handling hazardous and flammable …
Monitoring and uncertainty analysis of feedwater flow rate using data-based modeling methods
HY Yang, SH Lee, MG Na - IEEE transactions on Nuclear …, 2009 - ieeexplore.ieee.org
The Venturi flow meters that are being used to measure the feedwater flow rate in most
pressurized water reactors are confronted with fouling phenomena, resulting in an …
pressurized water reactors are confronted with fouling phenomena, resulting in an …