4.7 Article

A Novel Bayesian Framework With Enhanced Principal Component Analysis for Chemical Fault Diagnosis

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Electrical & Electronic

Defect Classification With SVM and Wideband Excitation in Multilayer Aluminum Plates

Dario Jeronimo Pasadas et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)

Article Automation & Control Systems

LSTM Learning With Bayesian and Gaussian Processing for Anomaly Detection in Industrial IoT

Di Wu et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)

Article Automation & Control Systems

Quantitative Evaluation of Crack Depths on Thin Aluminum Plate Using Eddy Current Pulse-Compression Thermography

Qiuji Yi et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)

Article Engineering, Electrical & Electronic

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

Guang Yang et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)

Article Automation & Control Systems

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

Sheng Guo et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2020)

Article Engineering, Electrical & Electronic

Generative Adversarial Networks With Comprehensive Wavelet Feature for Fault Diagnosis of Analog Circuits

Wei He et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)

Article Engineering, Electrical & Electronic

Fault Diagnosis of High-Speed Train Bogie Based on Capsule Network

Lingling Chen et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)

Article Engineering, Electrical & Electronic

Soft Sensors Based on Deep Neural Networks for Applications in Security and Safety

Maria Gabriella Xibilia et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)

Article Engineering, Electrical & Electronic

An Approach on MCSA-Based Fault Detection Using Independent Component Analysis and Neural Networks

Juan Enrique Garcia-Bracamonte et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2019)

Article Engineering, Electrical & Electronic

Fault Detection for Rolling-Element Bearings Using Multivariate Statistical Process Control Methods

Xiaohang Jin et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2019)

Article Computer Science, Artificial Intelligence

Hyperspectral imagery classification with deep metric learning

Xianghai Cao et al.

NEUROCOMPUTING (2019)

Article Automation & Control Systems

Soft Computing-Based EEG Classification by Optimal Feature Selection and Neural Networks

Muhammad Hamza Bhatti et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)

Article Automation & Control Systems

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

Yining Dong et al.

JOURNAL OF PROCESS CONTROL (2018)

Article Engineering, Multidisciplinary

A novel approach for analog circuit fault diagnosis based on Deep Belief Network

Guangquan Zhao et al.

MEASUREMENT (2018)

Article Computer Science, Artificial Intelligence

Deep Hyperspectral Image Sharpening

Renwei Dian et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)

Article Computer Science, Information Systems

Sequential Fault Diagnosis Based on LSTM Neural Network

Haitao Zhao et al.

IEEE ACCESS (2018)

Article Automation & Control Systems

A Kernel Least Squares Based Approach for Nonlinear Quality-Related Fault Detection

Guang Wang et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2017)

Article Engineering, Chemical

Fault Diagnosis of Chemical Processes Using Artificial Immune System with Vaccine Transplant

Yidan Shu et al.

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2016)

Article Computer Science, Artificial Intelligence

Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems

Seyedali Mirjalili

NEURAL COMPUTING & APPLICATIONS (2016)

Article Computer Science, Artificial Intelligence

Gaussian Processes for Data-Efficient Learning in Robotics and Control

Marc Peter Deisenroth et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2015)

Article Computer Science, Artificial Intelligence

ImageNet Large Scale Visual Recognition Challenge

Olga Russakovsky et al.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2015)

Article Computer Science, Artificial Intelligence

Application of Reinforcement Learning Algorithms for the Adaptive Computation of the Smoothing Parameter for Probabilistic Neural Network

Maciej Kusy et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2015)

Article Automation & Control Systems

Fault diagnosis of Tennessee Eastman process with multi-scale PCA and ANFIS

C. K. Lau et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2013)

Review Computer Science, Artificial Intelligence

Representation Learning: A Review and New Perspectives

Yoshua Bengio et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)

Review Automation & Control Systems

Survey on data-driven industrial process monitoring and diagnosis

S. Joe Qin

ANNUAL REVIEWS IN CONTROL (2012)

Article Computer Science, Artificial Intelligence

Designing a hierarchical neural network based on fuzzy clustering for fault diagnosis of the Tennessee-Eastman process

Reza Eslamloueyan

APPLIED SOFT COMPUTING (2011)

Article Computer Science, Artificial Intelligence

Feature vector selection and projection using kernels

G Baudat et al.

NEUROCOMPUTING (2003)