Predictive maintenance within combined heat and power plants based on a novel virtual sample generation method

Predictive Maintenance for Pump Systems and Thermal Power Plants: State-of-the-Art Review, Trends and Challenges

(2020) Jonas Fausing Olesen et al.   SENSORS

Predicting novel CircRNA-disease associations based on random walk and logistic regression model

(2020) Yulian Ding et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

Operation optimization of a solar hybrid CCHP system for adaptation to climate change

(2020) Xu Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Diagnosis of operational failures and on-demand failures in nuclear power plants: An approach based on dynamic Bayesian networks

(2019) Yunfei Zhao et al.   ANNALS OF NUCLEAR ENERGY

A novel and effective nonlinear interpolation virtual sample generation method for enhancing energy prediction and analysis on small data problem: A case study of Ethylene industry

(2018) Yan-Lin He et al.   ENERGY

Online remaining useful lifetime prediction of proton exchange membrane fuel cells using a novel robust methodology

(2018) Daming Zhou et al.   JOURNAL OF POWER SOURCES

A PSO based virtual sample generation method for small sample sets: Applications to regression datasets

(2017) Zhong-Sheng Chen et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Approximate NORTA simulations for virtual sample generation

(2017) Guillaume Coqueret   EXPERT SYSTEMS WITH APPLICATIONS

Statistical analysis of discrepant radioecological data using Monte Carlo Bootstrap Method

(2015) Arykerne Nascimento Casado da Silva et al.   JOURNAL OF RADIOANALYTICAL AND NUCLEAR CHEMISTRY

A genetic algorithm-based virtual sample generation technique to improve small data set learning

(2014) Der-Chiang Li et al.   NEUROCOMPUTING

A new approach to assess product lifetime performance for small data sets

(2013) Der-Chiang Li et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications

(2013) Jay Lee et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel virtual sample generation method based on Gaussian distribution

(2011) Jing Yang et al.   KNOWLEDGE-BASED SYSTEMS

The Generalized-Trend-Diffusion modeling algorithm for small data sets in the early stages of manufacturing systems

(2010) Yao-San Lin et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Utilization of virtual samples to facilitate cancer identification for DNA microarray data in the early stages of an investigation

(2009) Der-Chiang Li et al.   INFORMATION SCIENCES

A non-linearly virtual sample generation technique using group discovery and parametric equations of hypersphere

(2007) Der-Chiang Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

Learning management knowledge for manufacturing systems in the early stages using time series data

(2006) Der-Chiang Li et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH