Detection of intermittent faults based on an optimally weighted moving average T2 control chart with stationary observations

Robust detection of intermittent sensor faults in stochastic LTV systems

(2020) Junfeng Zhang et al.   NEUROCOMPUTING

Change point and fault detection using Kantorovich Distance

(2019) Sanjula Kammammettu et al.   JOURNAL OF PROCESS CONTROL

Fault detection isolation and diagnosis of multi-axle speed sensors for high-speed trains

(2019) Gang Niu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Robust detection of intermittent multiplicative sensor fault

(2019) Junfeng Zhang et al.   ASIAN JOURNAL OF CONTROL

Nonparametric Kullback-divergence-PCA for intelligent mismatch detection and power quality monitoring in grid-connected rooftop PV

(2019) Azzeddine Bakdi et al.   ENERGY

Review on Diagnosis Techniques for Intermittent Faults in Dynamic Systems

(2019) Donghua Zhou et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Recursive Slow Feature Analysis for Adaptive Monitoring of Industrial Processes

(2018) Chao Shang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Canonical Variate Dissimilarity Analysis for Process Incipient Fault Detection

(2018) Karl Ezra Salgado Pilario et al.   IEEE Transactions on Industrial Informatics

Deep PCA Based Real-Time Incipient Fault Detection and Diagnosis Methodology for Electrical Drive in High-Speed Trains

(2018) Hongtian Chen et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Fault Detection and Classification for Nonlinear Chemical Processes using Lasso and Gaussian Process

(2018) Yuncheng Du et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Intermittent sensor fault detection for stochastic LTV systems with parameter uncertainty and limited resolution

(2018) Junfeng Zhang et al.   INTERNATIONAL JOURNAL OF CONTROL

Data-driven Detection and Diagnosis of Incipient Faults in Electrical Drives of High-Speed Trains

(2018) Hongtian Chen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Dynamic-Bayesian-Network-Based Fault Diagnosis Methodology Considering Transient and Intermittent Faults

(2017) Baoping Cai et al.   IEEE Transactions on Automation Science and Engineering

Multimode Process Monitoring Approach Based on Moving Window Hidden Markov Model

(2017) Lin Wang et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

An accelerated alignment method for analyzing time sequences of industrial alarm floods

(2017) Cen Guo et al.   JOURNAL OF PROCESS CONTROL

Incipient Sensor Fault Diagnosis Using Moving Window Reconstruction-Based Contribution

(2016) Hongquan Ji et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Concurrent monitoring of operating condition deviations and process dynamics anomalies with slow feature analysis

(2015) Chao Shang et al.   AICHE JOURNAL

Detecting abnormal situations using the Kullback–Leibler divergence

(2014) Jiusun Zeng et al.   AUTOMATICA

Generalization and analysis of sufficient conditions for PCA-based fault detectability and isolability

(2013) Baligh Mnassri et al.   ANNUAL REVIEWS IN CONTROL

Diagnosability of discrete event systems for temporary failures

(2012) Santosh Biswas   COMPUTERS & ELECTRICAL ENGINEERING

Data reconciliation in a smart home sensor network

(2012) Dorothy N. Monekosso et al.   EXPERT SYSTEMS WITH APPLICATIONS

Decision Forest for Root Cause Analysis of Intermittent Faults

(2012) Satnam Singh et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

Reconstruction based fault prognosis for continuous processes

(2010) Gang Li et al.   CONTROL ENGINEERING PRACTICE

Reconstruction-based contribution for process monitoring

(2009) Carlos F. Alcala et al.   AUTOMATICA