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A novel distributed detection framework for quality-related faults in industrial plant-wide processes.

, , , and . Neurocomputing, (2022)

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A Comparison of Different Statistics for Detecting Multiplicative Faults in Multivariate Statistics-Based Fault Detection Approaches., , and . IEEE Access, (2018)IVFH*: Real-time dynamic obstacle avoidance for mobile robots., , and . ICARCV, page 844-847. IEEE, (2010)Mining temporal association rules with frequent itemsets tree., , , and . Appl. Soft Comput., (2018)Performance-based fault detection and fault-tolerant control for automatic control systems., , , , and . Autom., (2019)Quality-related fault detection using linear and nonlinear principal component regression., , and . J. Frankl. Inst., 353 (10): 2159-2177 (2016)A novel dynamic non-Gaussian approach for quality-related fault diagnosis with application to the hot strip mill process., , and . J. Frankl. Inst., 354 (2): 702-721 (2017)Just-in-Time Learning-Based Soft Sensor for Mechanical Properties of Strip Steel via Multi-Block Weighted Semisupervised Models., , and . IEEE Access, (2020)A Novel Scheme for Key Performance Indicator Prediction and Diagnosis With Application to an Industrial Hot Strip Mill., , , , and . IEEE Trans. Ind. Informatics, 9 (4): 2239-2247 (2013)A Novel Hierarchical Detection and Isolation Framework for Quality-Related Multiple Faults in Large-Scale Processes., , and . IEEE Trans. Ind. Electron., 67 (2): 1316-1327 (2020)A Robust Fault Classification Method for Streaming Industrial Data Based on Wasserstein Generative Adversarial Network and Semi-Supervised Ladder Network., , , , and . IEEE Trans. Instrum. Meas., (2023)