Related references
Note: Only part of the references are listed.Statistics Mahalanobis distance for incipient sensor fault detection and diagnosis
Hongquan Ji
CHEMICAL ENGINEERING SCIENCE (2021)
Distributionally robust fault detection design and assessment for dynamical systems
Chao Shang et al.
AUTOMATICA (2021)
Running safety evaluation of a train moving over a high-speed railway viaduct under different track conditions
M. A. Peixer et al.
ENGINEERING FAILURE ANALYSIS (2021)
A novel method for simultaneous-fault diagnosis based on between-class learning
Yunpu Wu et al.
MEASUREMENT (2021)
Novel Multistate Fault Diagnosis and Location Method for Key Components of High-Speed Trains
Luonan Chang et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2021)
Anomaly detection using improved deep SVDD model with data structure preservation
Zheng Zhang et al.
PATTERN RECOGNITION LETTERS (2021)
A Just-In-Time-Learning-Aided Canonical Correlation Analysis Method for Multimode Process Monitoring and Fault Detection
Zhiwen Chen et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2021)
Rotating Machine Systems Fault Diagnosis Using Semisupervised Conditional Random Field-Based Graph Attention Network
Yao Tang et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2021)
Multiblock Dynamic Slow Feature Analysis-Based System Monitoring for Electrical Drives of High-Speed Trains
Chao Cheng et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2021)
A Data-Driven Realization of the Control-Performance-Oriented Process Monitoring System
Hao Luo et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2020)
A Review of Fault Detection and Diagnosis for the Traction System in High-Speed Trains
Hongtian Chen et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)
Data-Driven Two-Dimensional Deep Correlated Representation Learning for Nonlinear Batch Process Monitoring
Qingchao Jiang et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)
An Improved Fault Diagnosis Method of Rotating Machinery Using Sensitive Features and RLS-BP Neural Network
Qidong Lu et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)
Incipient fault detection of the high-speed train air brake system with a combined index
Hongquan Ji et al.
CONTROL ENGINEERING PRACTICE (2020)
Fault Diagnosis of High-Speed Train Bogie Based on Capsule Network
Lingling Chen et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)
The spatial distribution and determinants of China's high-speed train services
Yan Huang et al.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE (2020)
Transfer Dictionary Learning Method for Cross-Domain Multimode Process Monitoring and Fault Isolation
Keke Huang et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)
Express delivery with high-speed railway: Definitely feasible or just a publicity stunt
Mingkai Bi et al.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE (2019)
Early Fault Diagnosis and Classification of Ball Bearing Using Enhanced Kurtogram and Gaussian Mixture Model
Youngsun Hong et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2019)
Unequal regional impacts of high speed rail on the tourism industry: a simulation analysis of the effects of Kyushu Shinkansen
Tomoru Hiramatsu
TRANSPORTATION (2018)
Fault Detection and Isolation of the Brake Cylinder System for Electric Multiple Units
Donghua Zhou et al.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2018)
Canonical Variate Dissimilarity Analysis for Process Incipient Fault Detection
Karl Ezra Salgado Pilario et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)
Data-Based Detection and Diagnosis of Faults in Linear Actuators
Cristobal Ruiz-Carcel et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2018)
Incipient fault detection with smoothing techniques in statistical process monitoring
Hongquan Ji et al.
CONTROL ENGINEERING PRACTICE (2017)
Review of Recent Research on Data-Based Process Monitoring
Zhiqiang Ge et al.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2013)
Survey on data-driven industrial process monitoring and diagnosis
S. Joe Qin
ANNUAL REVIEWS IN CONTROL (2012)
A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process
Shen Yin et al.
JOURNAL OF PROCESS CONTROL (2012)
Multivariate Statistical Process Monitoring Based on Statistics Pattern Analysis
Jin Wang et al.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2010)
Facts about the disaster at Eschede
HJ Oestern et al.
JOURNAL OF ORTHOPAEDIC TRAUMA (2000)