Integrating Feature Optimization using a Dynamic Convolutional Neural Network for Chemical Process Supervised Fault Classification

Fault Diagnosis of Complex Chemical Processes Using Feature Fusion of a Convolutional Network

(2021) Nan Wang et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Comprehensive Machine Learning-Based Model for Predicting Compressive Strength of Ready-Mix Concrete

(2021) Jiajia Xu et al.   Materials

Intelligent fault diagnosis of planetary gearbox based on adaptive normalized CNN under complex variable working conditions and data imbalance

(2021) Chaoge Wang et al.   MEASUREMENT

Low-speed bearing fault diagnosis based on improved statistical filtering and convolutional neural network

(2021) Miyazaki Shuuji et al.   MEASUREMENT SCIENCE and TECHNOLOGY

(PSE)identification of abnormal conditions in high-dimensional chemical process based on feature selection and deep learning

(2020) Wende TIAN et al.   CHINESE JOURNAL OF CHEMICAL ENGINEERING

An adaptive modeling strategy integrating feature selection and random forest for fluid catalytic cracking processes

(2020) Chen Chen et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Improved deep convolution neural network (CNN) for the identification of defects in the centrifugal pump using acoustic images

(2020) Anil Kumar et al.   APPLIED ACOUSTICS

A review of data-driven fault detection and diagnosis methods: applications in chemical process systems

(2019) Norazwan Md Nor et al.   REVIEWS IN CHEMICAL ENGINEERING

A novel gas turbine fault diagnosis method based on transfer learning with CNN

(2019) Shi-sheng Zhong et al.   MEASUREMENT

Fault Diagnosis of Complex Chemical Processes Based on Enhanced Naive Bayesian Method

(2019) Guang Yang et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Multitask Convolutional Neural Network With Information Fusion for Bearing Fault Diagnosis and Localization

(2019) Sheng Guo et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Process system fault detection and diagnosis using a hybrid technique

(2018) Md. Tanjin Amin et al.   CHEMICAL ENGINEERING SCIENCE

Deep convolutional neural network model based chemical process fault diagnosis

(2018) Hao Wu et al.   COMPUTERS & CHEMICAL ENGINEERING

Deep learning

(2015) Yann LeCun et al.   NATURE

Multimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis

(2015) Chuan Li et al.   NEUROCOMPUTING

Fault Diagnosis in Chemical Process Based on Self-organizing Map Integrated with Fisher Discriminant Analysis

(2013) Xinyi CHEN et al.   CHINESE JOURNAL OF CHEMICAL ENGINEERING

Fault diagnosis on production systems with support vector machine and decision trees algorithms

(2012) M. Demetgul   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Localized Fisher discriminant analysis based complex chemical process monitoring

(2010) Jie Yu   AICHE JOURNAL

Multi component fault diagnosis of rotational mechanical system based on decision tree and support vector machine

(2010) M. Saimurugan et al.   EXPERT SYSTEMS WITH APPLICATIONS

A wrapper method for feature selection using Support Vector Machines

(2009) Sebastián Maldonado et al.   INFORMATION SCIENCES