Z Xie, X Yang, A Li, Z Ji - The Canadian Journal of Chemical …, 2019 - Wiley Online Library
For fault detection and diagnosis in large‐scale industrial systems, traditional methods have a low classification accuracy, which is an issue. This paper proposes a fault diagnosis …
In this article, we present (1) a feature selection algorithm based on nonlinear support vector machine (SVM) for fault detection and diagnosis in continuous processes and (2) results for …
A novel networked process monitoring, fault propagation identification, and root cause diagnosis approach is developed in this study. First, process network structure is determined …
D Li, J Dong, K Peng - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
In the field of fault detection, the nonstationary characteristics caused by external disturbances of wind turbine (WT) and other reasons can mask the fault signals, while the …
X Gao, F Yang, E Feng - The Canadian Journal of Chemical …, 2020 - Wiley Online Library
Unlike many other techniques used in process control, which are widely applied in practice and play significant roles, abnormal situation management (ASM) still relies heavily on …
P Peng, Y Zhang, F Liu, H Wang, H Zhang - IEEE Access, 2019 - ieeexplore.ieee.org
As a method widely used in fault detection, principal component analysis (PCA) still has challenges in applicability due to its sensitivity to outliers and its difficulty in principal …
L Guo, J Kang - International Journal of Chemical Engineering, 2015 - Wiley Online Library
Given their potentially enormous risk, process monitoring and fault diagnosis for chemical plants have recently been the focus of many studies. Based on hazard and operability …
Y Dai, H Wang, F Khan, J Zhao - Current opinion in chemical engineering, 2016 - Elsevier
Highlights•Smart Manufacturing requires the elimination of safety incidents when maximize economic competitiveness.•Methods of abnormal situation management with safety risk …
Fault detection and diagnosis for industrial systems has been an important field of research during the past years. Among these systems, the Tennessee Eastman process is extensively …