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https://doi.org/10.2139/ssrn.4670294

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inferredcites →https://doi.org/10.1002/cem.2743openalex-extracted
Double‐step block division plant‐wide fault detection and diagnosis based on variable distributions and relevant features
inferredcites →https://doi.org/10.1007/s00521-021-06711-2openalex-extracted
Generalized transformer in fault diagnosis of Tennessee Eastman process
inferredcites →https://doi.org/10.1007/s40313-021-00702-3openalex-extracted
Performance Evaluation of Independent Component Analysis-Based Fault Detection Using Measurements Corrupted with Noise
inferredcites →https://doi.org/10.1016/j.conb.2021.09.008openalex-extracted
Neural implementations of Bayesian inference
inferredcites →https://doi.org/10.1016/j.conengprac.2021.104784openalex-extracted
Hierarchical hybrid distributed PCA for plant-wide monitoring of chemical processes
inferredcites →https://doi.org/10.1016/j.conengprac.2021.104913openalex-extracted
Efficient federated convolutional neural network with information fusion for rolling bearing fault diagnosis
inferredcites →https://doi.org/10.1016/j.conengprac.2023.105501openalex-extracted
A fault-tolerant automatic mission planner for a fleet of aerial vehicles
inferredcites →https://doi.org/10.1016/j.conengprac.2023.105606openalex-extracted
An independent component analysis based correlation coefficient method for internal short-circuit fault diagnosis of battery-powered intelligent transportation systems
inferredcites →https://doi.org/10.1016/j.cosrev.2021.100378openalex-extracted
Conceptual and empirical comparison of dimensionality reduction algorithms (PCA, KPCA, LDA, MDS, SVD, LLE, ISOMAP, LE, ICA, t-SNE)
inferredcites →https://doi.org/10.1016/j.patcog.2021.107988openalex-extracted
Feature selection with kernelized multi-class support vector machine
inferredcites →https://doi.org/10.1016/j.psep.2021.04.004openalex-extracted
A data-driven Bayesian network learning method for process fault diagnosis
inferredcites →https://doi.org/10.1016/j.ymssp.2006.12.007openalex-extracted
Support vector machine in machine condition monitoring and fault diagnosis
inferredcites →https://doi.org/10.1016/j.ymssp.2015.03.009openalex-extracted
Feature extraction method of bearing AE signal based on improved FAST-ICA and wavelet packet energy
inferredcites →https://doi.org/10.1021/acs.iecr.0c06038openalex-extracted
Process Monitoring Using a Novel Robust PCA Scheme
inferredcites →https://doi.org/10.1021/acs.iecr.1c01271openalex-extracted
Clustered Manifold Approximation and Projection for Semisupervised Fault Diagnosis and Process Monitoring
inferredcites →https://doi.org/10.1021/acs.iecr.1c01990openalex-extracted
Novel Process Monitoring Approach Enhanced by a Complex Independent Component Analysis Algorithm with Applications for Wastewater Treatment
inferredcites →https://doi.org/10.1021/acs.iecr.1c03360openalex-extracted
Concurrent Multilayer Fault Monitoring with Nonlinear Latent Variable Regression
inferredcites →https://doi.org/10.1021/acs.iecr.2c01326openalex-extracted
Causal Discovery Based on Observational Data and Process Knowledge in Industrial Processes
inferredcites →https://doi.org/10.1021/ie061083gopenalex-extracted
Process Monitoring Based on Independent Component Analysis−Principal Component Analysis (ICA−PCA) and Similarity Factors
inferredcites →https://doi.org/10.1021/ie301945sopenalex-extracted
Distributed PCA Model for Plant-Wide Process Monitoring
inferredcites →https://doi.org/10.1049/smt2.12068openalex-extracted
Fault diagnosis of an induction motor using data fusion based on neural networks
inferredcites →https://doi.org/10.1109/tcst.2020.2993068openalex-extracted
Robust Fault Diagnosis for Adaptive Structures With Unknown Stochastic Disturbances
inferredcites →https://doi.org/10.1109/tie.2019.2892705openalex-extracted
A Data-Driven Realization of the Control-Performance-Oriented Process Monitoring System
inferredcites →https://doi.org/10.1109/tie.2020.2967708openalex-extracted
Data-Driven Monitoring and Diagnosing of Abnormal Furnace Conditions in Blast Furnace Ironmaking: An Integrated PCA-ICA Method
inferredcites →https://doi.org/10.1109/tii.2018.2810822openalex-extracted
Canonical Variate Dissimilarity Analysis for Process Incipient Fault Detection
inferredcites →https://doi.org/10.1515/nleng-2022-0003openalex-extracted
Research on fault detection and identification methods of nonlinear dynamic process based on ICA
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