A review of data-driven fault detection and diagnosis methods: applications in chemical process systems
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Title
A review of data-driven fault detection and diagnosis methods: applications in chemical process systems
Authors
Keywords
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Journal
REVIEWS IN CHEMICAL ENGINEERING
Volume -, Issue -, Pages -
Publisher
Walter de Gruyter GmbH
Online
2019-01-06
DOI
10.1515/revce-2017-0069
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Note: Only part of the references are listed.- Time-adaptive support vector data description for nonstationary process monitoring
- (2018) Seulki Lee et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- A Bayesian network-based approach for fault analysis
- (2017) Hong-Bae Jun et al. EXPERT SYSTEMS WITH APPLICATIONS
- Pseudo Time-Slice Construction Using a Variable Moving Window k Nearest Neighbor Rule for Sequential Uneven Phase Division and Batch Process Monitoring
- (2017) Shumei Zhang et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Root Cause Diagnosis of Process Fault Using KPCA and Bayesian Network
- (2017) H. Gharahbagheri et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Novel Multidimensional Feature Pattern Classification Method and Its Application to Fault Diagnosis
- (2017) Qun-Xiong Zhu et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Quality-Relevant Fault Monitoring Based on Locality-Preserving Partial Least-Squares Statistical Models
- (2017) J. Wang et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Efficient Monitoring of Nonlinear Chemical Processes based on Fault-Relevant Kernel Principal Component Subspace Construction and Bayesian Inference
- (2017) Yang Wang et al. JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
- An alternative data-driven fault detection scheme for dynamic processes with deterministic disturbances
- (2017) Zhiwen Chen et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- Monitoring Nonlinear and Non-Gaussian Processes Using Gaussian Mixture Model-Based Weighted Kernel Independent Component Analysis
- (2017) Lianfang Cai et al. IEEE Transactions on Neural Networks and Learning Systems
- Principal Component Analysis of Process Datasets with Missing Values
- (2017) Kristen Severson et al. Processes
- Perspectives on process monitoring of industrial systems
- (2016) Kristen Severson et al. ANNUAL REVIEWS IN CONTROL
- Bridging data-driven and model-based approaches for process fault diagnosis and health monitoring: A review of researches and future challenges
- (2016) Khaoula Tidriri et al. ANNUAL REVIEWS IN CONTROL
- Performance-driven optimal design of distributed monitoring for large-scale nonlinear processes
- (2016) Qingchao Jiang et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Fault diagnosis of chemical processes with incomplete observations: A comparative study
- (2016) M. Askarian et al. COMPUTERS & CHEMICAL ENGINEERING
- GMM and optimal principal components-based Bayesian method for multimode fault diagnosis
- (2016) Qingchao Jiang et al. COMPUTERS & CHEMICAL ENGINEERING
- Fault Diagnosis Method of Joint Fisher Discriminant Analysis Based on the Local and Global Manifold Learning and Its Kernel Version
- (2016) Jian Feng et al. IEEE Transactions on Automation Science and Engineering
- Semisupervised Kernel Learning for FDA Model and its Application for Fault Classification in Industrial Processes
- (2016) Zhiqiang Ge et al. IEEE Transactions on Industrial Informatics
- Fault Diagnosis for a Multiblock Batch Process Based on Intermediate Block Dependency Analysis Reconstruction
- (2016) Rongrong Sun et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- PCA-ICA Integrated with Bayesian Method for Non-Gaussian Fault Diagnosis
- (2016) Qingchao Jiang et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Fault Detection and Diagnosis Based on Sparse PCA and Two-Level Contribution Plots
- (2016) Lijia Luo et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Quality-Related Statistical Process Monitoring Method Based on Global and Local Partial Least-Squares Projection
- (2016) Bin Zhong et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Angle-Based Multiblock Independent Component Analysis Method with a New Block Dissimilarity Statistic for Non-Gaussian Process Monitoring
- (2016) Jian Huang et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- An efficient ICA-DW-SVDD fault detection and diagnosis method for non-Gaussian processes
- (2016) Mu-Chen Chen et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Kernel PCA-based GLRT for nonlinear fault detection of chemical processes
- (2016) Majdi Mansouri et al. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
- Kernel PLS-based GLRT method for fault detection of chemical processes
- (2016) Chiranjivi Botre et al. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
- Distributed monitoring for large-scale processes based on multivariate statistical analysis and Bayesian method
- (2016) Qingchao Jiang et al. JOURNAL OF PROCESS CONTROL
- Process monitoring through manifold regularization-based GMM with global/local information
- (2016) Jianbo Yu JOURNAL OF PROCESS CONTROL
- Improved canonical correlation analysis-based fault detection methods for industrial processes
- (2016) Zhiwen Chen et al. JOURNAL OF PROCESS CONTROL
- Fed-batch fermentation penicillin process fault diagnosis and detection based on support vector machine
- (2016) Chengming Yang et al. NEUROCOMPUTING
- Fault detection of multimode non-Gaussian dynamic process using dynamic Bayesian independent component analysis
- (2016) Ying Xu et al. NEUROCOMPUTING
- An improved SVM integrated GS-PCA fault diagnosis approach of Tennessee Eastman process
- (2016) Xin Gao et al. NEUROCOMPUTING
- Recent advances on SVM based fault diagnosis and process monitoring in complicated industrial processes
- (2016) Zuyu Yin et al. NEUROCOMPUTING
- Fault Detection Using the Clustering-kNN Rule for Gas Sensor Arrays
- (2016) Jingli Yang et al. SENSORS
- A nonlinear partial least squares with slice transform based piecewise linear inner relation
- (2015) Peng Shan et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Review and classification of recent observers applied in chemical process systems
- (2015) Jarinah Mohd Ali et al. COMPUTERS & CHEMICAL ENGINEERING
- A combined canonical variate analysis and Fisher discriminant analysis (CVA–FDA) approach for fault diagnosis
- (2015) Benben Jiang et al. COMPUTERS & CHEMICAL ENGINEERING
- Hybrid computing techniques for fault detection and isolation, a review
- (2015) Amar Khoukhi et al. COMPUTERS & ELECTRICAL ENGINEERING
- Early detection and prediction of leaks in fluidized-bed boilers using artificial neural networks
- (2015) Kornel Rostek et al. ENERGY
- Decision fusion systems for fault detection and identification in industrial processes
- (2015) Fuyuan Zhang et al. JOURNAL OF PROCESS CONTROL
- Canonical variate analysis-based monitoring of process correlation structure using causal feature representation
- (2015) Benben Jiang et al. JOURNAL OF PROCESS CONTROL
- Review of control and fault diagnosis methods applied to coal mills
- (2015) V. Agrawal et al. JOURNAL OF PROCESS CONTROL
- Diagnosis of multiple and unknown faults using the causal map and multivariate statistics
- (2015) Leo H. Chiang et al. JOURNAL OF PROCESS CONTROL
- Canonical variate analysis-based contributions for fault identification
- (2015) Benben Jiang et al. JOURNAL OF PROCESS CONTROL
- Survey on Neuro-Fuzzy systems and their applications in technical diagnostics and measurement
- (2015) Zs.J. Viharos et al. MEASUREMENT
- Process data analytics in the era of big data
- (2014) S. Joe Qin AICHE JOURNAL
- Two-Dimensional Contribution Map for Fault Identification [Focus on Education]
- (2014) IEEE CONTROL SYSTEMS MAGAZINE
- A Review on Basic Data-Driven Approaches for Industrial Process Monitoring
- (2014) Shen Yin et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Self-Organizing Map Based Fault Diagnosis Technique for Non-Gaussian Processes
- (2014) Hongyang Yu et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- A Multi-SOM with Canonical Variate Analysis for Chemical Process Monitoring and Fault Diagnosis
- (2014) Yu Song et al. JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
- Two methods of selecting Gaussian kernel parameters for one-class SVM and their application to fault detection
- (2014) Yingchao Xiao et al. KNOWLEDGE-BASED SYSTEMS
- Fault detection based on a robust one class support vector machine
- (2014) Shen Yin et al. NEUROCOMPUTING
- A COMBINATION OF SUPPORT VECTOR MACHINE AND k-NEAREST NEIGHBORS FOR MACHINE FAULT DETECTION
- (2013) Amaury B. Andre et al. APPLIED ARTIFICIAL INTELLIGENCE
- Analysis of smearing-out in contribution plot based fault isolation for Statistical Process Control
- (2013) Pieter Van den Kerkhof et al. CHEMICAL ENGINEERING SCIENCE
- Fault diagnosis based on PCA for sensors of laboratorial wastewater treatment process
- (2013) E.P. Tao et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- A fault detection and diagnosis technique for multivariate processes using a PLS-decomposition of the measurement space
- (2013) José L. Godoy et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Weighted kernel principal component analysis based on probability density estimation and moving window and its application in nonlinear chemical process monitoring
- (2013) Qingchao Jiang et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Fault detection in the Tennessee Eastman benchmark process using dynamic principal components analysis based on decorrelated residuals (DPCA-DR)
- (2013) Tiago J. Rato et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Enhanced batch process monitoring using just-in-time-learning based kernel partial least squares
- (2013) Yi Hu et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Implementation of multi agents based system for process supervision in large-scale chemical plants
- (2013) Sathish Natarajan et al. COMPUTERS & CHEMICAL ENGINEERING
- Optimal variable selection for effective statistical process monitoring
- (2013) Kaushik Ghosh et al. COMPUTERS & CHEMICAL ENGINEERING
- Subspace decomposition approach of fault deviations and its application to fault reconstruction
- (2013) Chunhui Zhao et al. CONTROL ENGINEERING PRACTICE
- Comparative evaluation of classification methods used in fault diagnosis of industrial processes
- (2013) Alberto Prieto Moreno et al. IEEE Latin America Transactions
- From Model, Signal to Knowledge: A Data-Driven Perspective of Fault Detection and Diagnosis
- (2013) Xuewu Dai et al. IEEE Transactions on Industrial Informatics
- Fault Identification of Nonlinear Processes
- (2013) Yingwei Zhang et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Fault detection and diagnosis of non-linear non-Gaussian dynamic processes using kernel dynamic independent component analysis
- (2013) Jicong Fan et al. INFORMATION SCIENCES
- A review on non-model based diagnosis methodologies for PEM fuel cell stacks and systems
- (2013) Z. Zheng et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- An adaptive multimode process monitoring strategy based on mode clustering and mode unfolding
- (2013) Chudong Tong et al. JOURNAL OF PROCESS CONTROL
- Non-Gaussian chemical process monitoring with adaptively weighted independent component analysis and its applications
- (2013) Qingchao Jiang et al. JOURNAL OF PROCESS CONTROL
- Data-driven design of monitoring and diagnosis systems for dynamic processes: A review of subspace technique based schemes and some recent results
- (2013) S.X. Ding JOURNAL OF PROCESS CONTROL
- Data driven modeling based on dynamic parsimonious fuzzy neural network
- (2013) Mahardhika Pratama et al. NEUROCOMPUTING
- Comparison of FDA-based and PCA-based features in fault diagnosis of automobile gearboxes
- (2013) M.H. Gharavian et al. NEUROCOMPUTING
- A process monitoring method based on noisy independent component analysis
- (2013) Lianfang Cai et al. NEUROCOMPUTING
- Survey on data-driven industrial process monitoring and diagnosis
- (2012) S. Joe Qin ANNUAL REVIEWS IN CONTROL
- Reconstruction in integrating fault spaces for fault identification with kernel independent component analysis
- (2012) Yan Liu et al. CHEMICAL ENGINEERING RESEARCH & DESIGN
- Modeling and monitoring of multimode process based on subspace separation
- (2012) Yingwei Zhang et al. CHEMICAL ENGINEERING RESEARCH & DESIGN
- Dynamic processes monitoring using recursive kernel principal component analysis
- (2012) Yingwei Zhang et al. CHEMICAL ENGINEERING SCIENCE
- Monitoring of time-varying processes using kernel independent component analysis
- (2012) Yingwei Zhang et al. CHEMICAL ENGINEERING SCIENCE
- Dynamical process monitoring using dynamical hierarchical kernel partial least squares
- (2012) Yingwei Zhang et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Multivariate industrial process monitoring based on the integration method of canonical variate analysis and independent component analysis
- (2012) Yinghua Yang et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- A novel local neighborhood standardization strategy and its application in fault detection of multimode processes
- (2012) Hehe Ma et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Fault diagnosis of Tennessee Eastman process with multi-scale PCA and ANFIS
- (2012) C.K. Lau et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- The optimization of the kind and parameters of kernel function in KPCA for process monitoring
- (2012) Mingxing Jia et al. COMPUTERS & CHEMICAL ENGINEERING
- Monitoring, fault diagnosis, fault-tolerant control and optimization: Data driven methods
- (2012) John MacGregor et al. COMPUTERS & CHEMICAL ENGINEERING
- A new fault diagnosis method of multimode processes using Bayesian inference based Gaussian mixture contribution decomposition
- (2012) Jie Yu ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Modeling and monitoring for handling nonlinear dynamic processes
- (2012) Yingwei Zhang et al. INFORMATION SCIENCES
- A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process
- (2012) Shen Yin et al. JOURNAL OF PROCESS CONTROL
- A fault detection and diagnosis strategy with enhanced sensitivity for centrifugal chillers
- (2011) Fu Xiao et al. APPLIED THERMAL ENGINEERING
- Multivariate process monitoring and analysis based on multi-scale KPLS
- (2011) Yingwei Zhang et al. CHEMICAL ENGINEERING RESEARCH & DESIGN
- Improved multi-scale kernel principal component analysis and its application for fault detection
- (2011) Yingwei Zhang et al. CHEMICAL ENGINEERING RESEARCH & DESIGN
- Decentralized fault diagnosis using multiblock kernel independent component analysis
- (2011) Yingwei Zhang et al. CHEMICAL ENGINEERING RESEARCH & DESIGN
- Fault detection, identification and diagnosis using CUSUM based PCA
- (2011) M.A. Bin Shams et al. CHEMICAL ENGINEERING SCIENCE
- Variance sensitive adaptive threshold-based PCA method for fault detection with experimental application
- (2011) Alkan Alkaya et al. ISA TRANSACTIONS
- Optimum parameters for fault detection and diagnosis system of batch reaction using multiple neural networks
- (2011) W.L. Tan et al. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
- Analysis and generalization of fault diagnosis methods for process monitoring
- (2011) Carlos F. Alcala et al. JOURNAL OF PROCESS CONTROL
- Robust monitoring and fault reconstruction based on variational inference component analysis
- (2011) Zhiqiang Ge et al. JOURNAL OF PROCESS CONTROL
- Self adaptive growing neural network classifier for faults detection and diagnosis
- (2011) M. Barakat et al. NEUROCOMPUTING
- A comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database
- (2011) F. Segovia et al. NEUROCOMPUTING
- Applications of fault detection and diagnosis methods in nuclear power plants: A review
- (2011) Jianping Ma et al. PROGRESS IN NUCLEAR ENERGY
- Fault detection and diagnosis of an industrial steam turbine using a distributed configuration of adaptive neuro-fuzzy inference systems
- (2011) Karim Salahshoor et al. SIMULATION MODELLING PRACTICE AND THEORY
- Monitoring, fault detection and operation prediction of MSW incinerators using multivariate statistical methods
- (2011) Gilberto Tavares et al. WASTE MANAGEMENT
- ANFIS based sensor fault detection for continuous stirred tank reactor
- (2010) U. Sabura Banu et al. APPLIED SOFT COMPUTING
- Study on a hybrid SVM model for chiller FDD applications
- (2010) H. Han et al. APPLIED THERMAL ENGINEERING
- Statistical analysis and adaptive technique for dynamical process monitoring
- (2010) Yingwei Zhang et al. CHEMICAL ENGINEERING RESEARCH & DESIGN
- Fault detection of non-Gaussian processes based on modified independent component analysis
- (2010) Yingwei Zhang et al. CHEMICAL ENGINEERING SCIENCE
- Development of hidden semi-Markov models for diagnosis of multiphase batch operation
- (2010) Junghui Chen et al. CHEMICAL ENGINEERING SCIENCE
- Fault diagnosis of nonlinear processes using multiscale KPCA and multiscale KPLS
- (2010) Yingwei Zhang et al. CHEMICAL ENGINEERING SCIENCE
- On-line batch process monitoring using batch dynamic kernel principal component analysis
- (2010) Mingxing Jia et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- A semi-supervised approach to fault diagnosis for chemical processes
- (2010) Isaac Monroy et al. COMPUTERS & CHEMICAL ENGINEERING
- Review of adaptation mechanisms for data-driven soft sensors
- (2010) Petr Kadlec et al. COMPUTERS & CHEMICAL ENGINEERING
- Integrating independent component analysis and support vector machine for multivariate process monitoring
- (2010) Chun-Chin Hsu et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Fault detection and diagnosis of an industrial steam turbine using fusion of SVM (support vector machine) and ANFIS (adaptive neuro-fuzzy inference system) classifiers
- (2010) Karim Salahshoor et al. ENERGY
- Multi-agent based collaborative fault detection and identification in chemical processes
- (2010) Yew Seng Ng et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- A framework for on-line trend extraction and fault diagnosis
- (2010) Mano Ram Maurya et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Wavelet-coupled backpropagation neural network as a chamber leak detector of plasma processing equipment
- (2010) Byungwhan Kim et al. EXPERT SYSTEMS WITH APPLICATIONS
- A novel fault diagnosis system using pattern classification on kernel FDA subspace
- (2010) Zhi-Bo Zhu et al. EXPERT SYSTEMS WITH APPLICATIONS
- Induction motor fault diagnosis based on thek-NN and optimal feature selection
- (2010) Ngoc-Tu Nguyen et al. INTERNATIONAL JOURNAL OF ELECTRONICS
- Fault diagnosis of the polypropylene production process (UNIPOL PP) using ANFIS
- (2010) C.K. Lau et al. ISA TRANSACTIONS
- Nonlinear process monitoring based on linear subspace and Bayesian inference
- (2010) Zhiqiang Ge et al. JOURNAL OF PROCESS CONTROL
- An integrated method of independent component analysis and support vector machines for industry distillation process monitoring
- (2010) Cuimei Bo et al. JOURNAL OF PROCESS CONTROL
- Fault detection and isolation of faults in a multivariate process with Bayesian network
- (2010) Sylvain Verron et al. JOURNAL OF PROCESS CONTROL
- Multiscale classification and its application to process monitoring
- (2010) Yu-ming Liu et al. Journal of Zhejiang University-SCIENCE C-Computers & Electronics
- Learning a data-dependent kernel function for KPCA-based nonlinear process monitoring
- (2009) Ji-Dong Shao et al. CHEMICAL ENGINEERING RESEARCH & DESIGN
- Multivariate statistical process monitoring using an improved independent component analysis
- (2009) Li Wang et al. CHEMICAL ENGINEERING RESEARCH & DESIGN
- Data-based fault detection and isolation using feedback control: Output feedback and optimality
- (2009) Benjamin J. Ohran et al. CHEMICAL ENGINEERING SCIENCE
- Complex process quality prediction using modified kernel partial least squares
- (2009) Yingwei Zhang et al. CHEMICAL ENGINEERING SCIENCE
- Complex process monitoring using modified partial least squares method of independent component regression
- (2009) Yingwei Zhang et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Multi-scale extension of PLS algorithm for advanced on-line process monitoring
- (2009) Hae Woo Lee et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Moving window kernel PCA for adaptive monitoring of nonlinear processes
- (2009) Xueqin Liu et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- On-line multivariate statistical monitoring of batch processes using Gaussian mixture model
- (2009) Tao Chen et al. COMPUTERS & CHEMICAL ENGINEERING
- Boosting k-nearest neighbor classifier by means of input space projection
- (2009) Nicolás García-Pedrajas et al. EXPERT SYSTEMS WITH APPLICATIONS
- Variable-weighted Fisher discriminant analysis for process fault diagnosis
- (2009) Xiao Bin He et al. JOURNAL OF PROCESS CONTROL
- Fault detection and diagnosis in process data using one-class support vector machines
- (2009) Sankar Mahadevan et al. JOURNAL OF PROCESS CONTROL
- Nonlinear multiscale modelling for fault detection and identification
- (2008) Sang Wook Choi et al. CHEMICAL ENGINEERING SCIENCE
- Enhanced statistical analysis of nonlinear processes using KPCA, KICA and SVM
- (2008) Yingwei Zhang CHEMICAL ENGINEERING SCIENCE
- Fault diagnosis in chemical processes with application of hierarchical neural networks
- (2008) L.A. Rusinov et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Observer-based sensor fault detection and isolation for chemical batch reactors
- (2008) Francesco Pierri et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Enhanced chiller sensor fault detection, diagnosis and estimation using wavelet analysis and principal component analysis methods
- (2007) Xinhua Xu et al. APPLIED THERMAL ENGINEERING
- Isolation and handling of actuator faults in nonlinear systems
- (2007) Prashant Mhaskar et al. AUTOMATICA
- A neuro-fuzzy technique for fault diagnosis and its application to rotating machinery
- (2007) Enrico Zio et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
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