Fault Detection and Identification of Blast Furnace Ironmaking Process Using the Gated Recurrent Unit Network

Electricity Price Prediction Based on Hybrid Model of Adam optimized LSTM Neural Network and Wavelet Transform

(2019) Zihan Chang et al.   ENERGY

Deep heterogeneous GRU model for predictive analytics in smart manufacturing: Application to tool wear prediction

(2019) Jinjiang Wang et al.   COMPUTERS IN INDUSTRY

Increment-based recursive transformed component statistical analysis for monitoring blast furnace iron-making processes: An index-switching scheme

(2018) Jun Shang et al.   CONTROL ENGINEERING PRACTICE

A novel dynamic PCA algorithm for dynamic data modeling and process monitoring

(2018) Yining Dong et al.   JOURNAL OF PROCESS CONTROL

Discriminative context learning with gated recurrent unit for group activity recognition

(2018) Pil-Soo Kim et al.   PATTERN RECOGNITION

Robust Principal Component Pursuit for Fault Detection in a Blast Furnace Process

(2017) Yijun Pan et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Process monitoring of iron-making process in a blast furnace with PCA-based methods

(2016) Bo Zhou et al.   CONTROL ENGINEERING PRACTICE

An improved fault detection method for incipient centrifugal chiller faults using the PCA-R-SVDD algorithm

(2016) Guannan Li et al.   ENERGY AND BUILDINGS

Generalized Hampel Filters

(2016) Ronald K. Pearson et al.   EURASIP Journal on Advances in Signal Processing

Impact of Autocorrelation on Principal Components and Their Use in Statistical Process Control

(2015) Erik Vanhatalo et al.   QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL

Fault Diagnosis for Blast Furnace Ironmaking Process Based on Two-stage Principal Component Analysis

(2014) Tongshuai Zhang et al.   ISIJ INTERNATIONAL

Survey on data-driven industrial process monitoring and diagnosis

(2012) S. Joe Qin   ANNUAL REVIEWS IN CONTROL

A State Space Model for Monitoring of the Dynamic Blast Furnace System

(2012) Jinhui Cai et al.   ISIJ INTERNATIONAL

Multi-Class Classification Methods of Cost-Conscious LS-SVM for Fault Diagnosis of Blast Furnace

(2012) Li-mei LIU et al.   JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL

A Novel Fault Diagnosis System for Blast Furnace Based on Support Vector Machine Ensemble

(2010) Huixin Tian et al.   ISIJ INTERNATIONAL

Multivariate process monitoring of an experimental blast furnace

(2009) Erik Vanhatalo   QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL