89 results on '"Madakyaru, Muddu"'
Search Results
2. Enhancing fault detection in multivariate industrial processes: Kolmogorov–Smirnov non-parametric statistical approach
3. Uncovering sensor faults in wind turbines: An improved multivariate statistical approach for condition monitoring using SCADA data
4. A novel anomaly detection scheme for high dimensional systems using Kantorovich distance statistic
5. Improved Process Monitoring Scheme Using Multi-Scale Independent Component Analysis
6. Kantorovich Distance based Fault Detection Scheme: An Application to Wastewater Treatment Plant
7. Robust Fault Detection in Monitoring Chemical Processes Using Multi-Scale PCA with KD Approach
8. Performance Evaluation of Independent Component Analysis-Based Fault Detection Using Measurements Corrupted with Noise
9. Ciprofloxacin and Azithromycin Antibiotics Interactions with Bilayer Ionic Surfactants: A Molecular Dynamics Study.
10. A semi-supervised anomaly detection strategy for drunk driving detection: a feasibility study.
11. Enhanced data-driven monitoring of wastewater treatment plants using the Kolmogorov-Smirnov test.
12. Monitoring multivariate process using improved Independent component analysis-generalized likelihood ratio strategy
13. Improved anomaly detection based on integrated multi-scale principal component analysis using wavelets: An application to high dimensional processes
14. Experimental and Simulation Investigation of an Adaptive Model Predictive Control Scheme: Model Parametrized by Orthonormal Basis Function
15. Linear latent variable regression (LVR)-based process monitoring
16. Case studies
17. Multiscale latent variable regression-based process monitoring methods
18. Introduction
19. Nonlinear latent variable regression methods
20. Unsupervised deep learning-based process monitoring methods
21. Conclusion and further research directions
22. Unsupervised recurrent deep learning scheme for process monitoring
23. Fault isolation
24. Improved Fault Detection in Chemical Engineering Processes via Non-Parametric Kolmogorov–Smirnov-Based Monitoring Strategy.
25. Enhancing Wind Turbine Performance: Statistical Detection of Sensor Faults Based on Improved Dynamic Independent Component Analysis
26. Detecting Pediatric Foot Deformities Using Plantar Pressure Measurements: A Semisupervised Approach
27. Improved nonlinear fault detection strategy based on the Hellinger distance metric: Plug flow reactor monitoring
28. Kullback-Leibler distance-based enhanced detection of incipient anomalies
29. Improved detection of incipient anomalies via multivariate memory monitoring charts: Application to an air flow heating system
30. Uncovering Sensor Faults in Wind Turbines: An Improved Multivariate Statistical Approach for Condition Monitoring Using Scada Data
31. PLS-based EWMA fault detection strategy for process monitoring
32. Automatic Detection of Unbalanced Sitting Postures in Wheelchairs Using Unlabeled Sensor Data
33. An Improved Wavelet‐Based Multivariable Fault Detection Scheme
34. Adaptive Predictive Control using GOBF-ARX Models: An Experimental Case Study
35. Kantorovich Distance Based Fault Detection Scheme for Non-Linear Processes
36. Multiscale Filtering and Applications to Chemical and Biological Systems
37. Improved Process Monitoring Scheme Using Multi-Scale Independent Component Analysis
38. Efficient Sitting Posture Recognition for Wheelchair Users: An Unsupervised Data-Driven Framework
39. Improved Process Monitoring Strategy Using Kantorovich Distance-Independent Component Analysis: An Application to Tennessee Eastman Process
40. Monitoring Distillation Column Systems Using Improved Nonlinear Partial Least Squares-Based Strategies
41. Improved fault detection using Dynamic Independent Component Analysis (DICA): An application to multi-variate system
42. Anomaly detection using multi-scale dynamic principal component analysis for Tenneesse Eastman Process
43. An Improved Multivariate Chart Using Partial Least Squares With Continuous Ranked Probability Score
44. Enhanced dynamic data-driven fault detection approach: Application to a two-tank heater system
45. Improved data-based fault detection strategy and application to distillation columns
46. Improved anomaly detection using multi-scale PLS and generalized likelihood ratio test
47. Nonlinear partial least squares with Hellinger distance for nonlinear process monitoring
48. Enhanced modeling of distillation columns using integrated multiscale latent variable regression
49. Nonlinear latent variable regression
50. Statistical fault detection using PCA-based GLR hypothesis testing
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