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Robust Just-in-time Learning Approach and Its Application on Fault Detection

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.automatica.2015.12.028openalex-snapshot
Model-based fault detection, estimation, and prediction for a class of linear distributed parameter systems
inferredcites →https://doi.org/10.1016/j.automatica.2016.02.036openalex-snapshot
Constrained zonotopes: A new tool for set-based estimation and fault detection
inferredcites →https://doi.org/10.1016/j.engappai.2012.09.004openalex-snapshot
A data-based framework for fault detection and diagnostics of non-linear systems with partial state measurement
inferredcites →https://doi.org/10.1016/j.jprocont.2012.06.009openalex-snapshot
A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process
inferredcites →https://doi.org/10.1016/j.jprocont.2014.12.010openalex-snapshot
Fault diagnosis of downhole drilling incidents using adaptive observers and statistical change detection
inferredcites →https://doi.org/10.1016/j.jprocont.2015.03.002openalex-snapshot
Kalman filter based fault detection for two-dimensional systems
inferredcites →https://doi.org/10.1016/j.jprocont.2015.08.007openalex-snapshot
Fault detection and isolation of gas turbine engines using a bank of neural networks
inferredcites →https://doi.org/10.1049/iet-cta.2013.0691openalex-snapshot
New kernel independent and principal components analysis‐based process monitoring approach with application to hot strip mill process
inferredcites →https://doi.org/10.1080/00207721.2014.886136openalex-snapshot
Robust PLS approach for KPI-related prediction and diagnosis against outliers and missing data
inferredcites →https://doi.org/10.1109/iecon.2015.7392555openalex-snapshot
A fault detection strategy based on intelligent particle filter for nonlinear systems
inferredcites →https://doi.org/10.1109/iecon.2015.7392965openalex-snapshot
A just-in-time learning approach for sewage treatment process monitoring with deterministic disturbances
inferredcites →https://doi.org/10.1109/isie.2014.6864996openalex-snapshot
A data-driven fault detection approach for static processes with deterministic disturbances
inferredcites →https://doi.org/10.1109/tac.2015.2465091openalex-snapshot
Fault Detection Filtering for Nonlinear Switched Stochastic Systems
inferredcites →https://doi.org/10.1109/tase.2015.2477272openalex-snapshot
Comprehensive monitoring of nonlinear processes based on concurrent kernel projection to latent structures
inferredcites →https://doi.org/10.1109/tcyb.2016.2574754openalex-snapshot
Fault Detection for Nonlinear Process With Deterministic Disturbances: A Just-In-Time Learning Based Data Driven Method
inferredcites →https://doi.org/10.1109/tfuzz.2013.2272584openalex-snapshot
A Model-Based Fault Detection and Prognostics Scheme for Takagi–Sugeno Fuzzy Systems
inferredcites →https://doi.org/10.1109/tie.2013.2244537openalex-snapshot
A Sensor Fault Detection and Isolation Method in Interior Permanent-Magnet Synchronous Motor Drives Based on an Extended Kalman Filter
inferredcites →https://doi.org/10.1109/tie.2014.2336599openalex-snapshot
Adaptive Nonlinear Model-Based Fault Diagnosis of Li-Ion Batteries
inferredcites →https://doi.org/10.1109/tie.2015.2399396openalex-snapshot
Intelligent Particle Filter and Its Application on Fault Detection of Nonlinear System
inferredcites →https://doi.org/10.1109/tie.2015.2417511openalex-snapshot
Real-time fault diagnosis and fault-tolerant control
inferredcites →https://doi.org/10.1109/tie.2015.2497204openalex-snapshot
A quality-related fault detection approach based on dynamic least squares for process monitoring
inferredcites →https://doi.org/10.1109/tie.2015.2512221openalex-snapshot
An Advanced PLS Approach for Key Performance Indicator Related Prediction and Diagnosis in Case of Outliers
inferredcites →https://doi.org/10.1109/tii.2014.2341934openalex-snapshot
An LWPR-Based Data-Driven Fault Detection Approach for Nonlinear Process Monitoring
inferredcites →https://doi.org/10.1109/tpwrd.2014.2348557openalex-snapshot
Principal Component Analysis of Wide-Area Phasor Measurements for Islanding Detection—A Geometric View

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4194450openalex-extracted
Distance-Based Data Selection for Regression Models Used in an Adaptive Fault Detection Approach
inferred← citeshttps://doi.org/10.1109/ccdc55256.2022.10034249openalex-snapshot
Complex Multimode Process Monitoring Based on the Improved Canonical Variable Analysis
inferred← citeshttps://doi.org/10.21014/tc10-2022.009openalex-snapshot
Adaptive Methods for Fault Detection on Research Engine Test Beds
inferred← citeshttps://doi.org/10.3390/machines10070526openalex-snapshot
Fault Detection for High-Speed Trains Using CCA and Just-in-Time Learning
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