Related references
Note: Only part of the references are listed.Multi-information Fusion Fault Diagnosis Based on KNN and Improved Evidence Theory
Yuwei Liu et al.
JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES (2022)
A temporal-based SVM approach for the detection and identification of pollutant gases in a gas mixture
Mohand A. Djeziri et al.
APPLIED INTELLIGENCE (2022)
Fuzzy-Model-Based Asynchronous Fault Detection for Markov Jump Systems With Partially Unknown Transition Probabilities: An Adaptive Event-Triggered Approach
Guangtao Ran et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2022)
Data-Driven Designs of Fault Detection Systems via Neural Network-Aided Learning
Hongtian Chen et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022)
A Single-Side Neural Network-Aided Canonical Correlation Analysis With Applications to Fault Diagnosis
Hongtian Chen et al.
IEEE TRANSACTIONS ON CYBERNETICS (2022)
Fault Detection for Nonlinear Dynamic Systems With Consideration of Modeling Errors: A Data-Driven Approach
Hongtian Chen et al.
IEEE TRANSACTIONS ON CYBERNETICS (2022)
Bearing fault diagnosis based on improved particle swarm optimized VMD and SVM models
Qingfeng Zhang et al.
ADVANCES IN MECHANICAL ENGINEERING (2021)
Compressor fault diagnosis system based on PCA-PSO-LSSVM algorithm
Kun Zhang et al.
SCIENCE PROGRESS (2021)
A Bearing Fault Diagnosis Method Using Multi-Branch Deep Neural Network
Van-Cuong Nguyen et al.
MACHINES (2021)
Degradation State Partition and Compound Fault Diagnosis of Rolling Bearing Based on Personalized Multilabel Learning
Xin Ma et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2021)
Mathematical Validation of Experimentally Optimised Parameters Used in a Vibration-Based Machine-Learning Model for Fault Diagnosis in Rotating Machines
Natalia Espinoza-Sepulveda et al.
MACHINES (2021)
Data-Driven Fault Detection for Dynamic Systems With Performance Degradation: A Unified Transfer Learning Framework
Hongtian Chen et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2021)
Accuracy Improvement of Power Transformer Faults Diagnostic Using KNN Classifier With Decision Tree Principle
Omar Kherif et al.
IEEE ACCESS (2021)
Fault Diagnosis of Rolling Bearing Based on Shift Invariant Sparse Feature and Optimized Support Vector Machine
Haodong Yuan et al.
MACHINES (2021)
Application of incremental support vector regression based on optimal training subset and improved particle swarm optimization algorithm in real-time sensor fault diagnosis
Dongdong Zhang et al.
APPLIED INTELLIGENCE (2021)
Extended least squares support vector machine with applications to fault diagnosis of aircraft engine
Yong-Ping Zhao et al.
ISA TRANSACTIONS (2020)
A Novel Control-Performance-Oriented Data-Driven Fault Classification Approach
Tianyu Liu et al.
IEEE SYSTEMS JOURNAL (2020)
Bidirectional deep recurrent neural networks for process fault classification
Gavneet Singh Chadha et al.
ISA TRANSACTIONS (2020)
Fault Diagnosis of Nonlinear Analog Circuit Based on Generalized Frequency Response Function and LSSVM Classifier Fusion
Jialiang Zhang
MATHEMATICAL PROBLEMS IN ENGINEERING (2020)
Permutation entropy-based 2D feature extraction for bearing fault diagnosis
Mantas Landauskas et al.
NONLINEAR DYNAMICS (2020)
A novel intelligent diagnosis method using optimal LS-SVM with improved PSO algorithm
Wu Deng et al.
SOFT COMPUTING (2019)
Machine Learning Algorithms and Fault Detection for Improved Belief Function Based Decision Fusion in Wireless Sensor Networks
Atia Javaid et al.
SENSORS (2019)
A hybrid fault diagnosis methodology with support vector machine and improved particle swarm optimization for nuclear power plants
Hang Wang et al.
ISA TRANSACTIONS (2019)
A Fault Detection Method Based on CPSO-Improved KICA
Mingguang Liu et al.
ENTROPY (2019)
Rolling Bearing Diagnosis Based on Composite Multiscale Weighted Permutation Entropy
Xiong Gan et al.
ENTROPY (2018)
Wind Turbine Gearbox Failure Identification With Deep Neural Networks
Long Wang et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2017)
Bearing Fault Diagnosis Based on Improved Locality-Constrained Linear Coding and Adaptive PSO-Optimized SVM
Haodong Yuan et al.
MATHEMATICAL PROBLEMS IN ENGINEERING (2017)
Product function correntropy and its application in rolling bearing fault identification
Yunxiao Fu et al.
MEASUREMENT (2017)
A Survey of Fault Diagnosis and Fault-Tolerant Techniques-Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches
Zhiwei Gao et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2015)
Comparative evaluation of classification methods used in fault diagnosis of industrial processes
Alberto Prieto Moreno et al.
IEEE Latin America Transactions (2013)
An intelligent fault identification method of rolling bearings based on LSSVM optimized by improved PSO
Hongbo Xu et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2013)
Diagnosis and performance analysis of three-phase permanent magnet synchronous motors with static, dynamic and mixed eccentricity
B. M. Ebrahimi et al.
IET ELECTRIC POWER APPLICATIONS (2010)