Real-Time Implementation of Fault-Tolerant Control Systems With Performance Optimization

By Shen Yin, Hao Luo, Steven X. Ding. IEEE transactions on industrial electronics (1982. Print), 2014

617 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/67307f823768791907934685ac58b11b2b465d51

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In Control and Systems Engineering

Citations in the corpus

A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method (2018, methodology): “[21] investigated the data-driven process monitoring based on a modified PLS.”
NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naïve Bayes Data Fusion (2018, methodology): “For other areas including faulttolerant control systems [17], for instance, using adaptive neural”
Big Data for Modern Industry: Challenges and Trends [Point of View] (2015, background): “Methods and algorithms focusing on data-based aspects like statistical analyses in business, management, and biomedicine [10–12], datadriven process monitoring/ prognostics [13], [14], and system control and optimization [15], [16] have been widely investigated in recent”
Improved PLS Focused on Key-Performance-Indicator-Related Fault Diagnosis (2015, background): “On the other hand, based on the large amount of data from available sensor measurements, event-logs as well as records, data-driven techniques have received considerable attention nowadays for control and monitoring purposes [9]–[13].”
Robust Model-Based Fault Diagnosis for PEM Fuel Cell Air-Feed System (2016, background): “However, these operating points are varying according to the operating conditions such as temperature, humidity, and air flow rate of the fuel cell power systems [25], [26].”
Adaptive Fault-Tolerant Tracking Control for Linear and Lipschitz Nonlinear Multi-Agent Systems (2015, background): “For large-scale multi-agent networks, the actuator in every agent may not work in the ideal way due to the presence of unexpected failures [5], [6].”
A Robust Observer-Based Sensor Fault-Tolerant Control for PMSM in Electric Vehicles (2016, methodology): “In [8], FTC is achieved based on the adaptive residual generator for identifying the abnormal change of system parameters and an iterative tuning scheme for the optimization of system performance.”
Enabling Health Monitoring Approach Based on Vibration Data for Accurate Prognostics (2015, background): “Among different approaches for prognostics (model-based, data-driven, hybrid [6]–[8]), datadriven approaches are easier to deploy when its hard to understand first principles of a complex machinery to build a diagnostics or prognostics model [9], [10].”
Real-Time Wireless Sensor-Actuator Networks for Industrial Cyber-Physical Systems (2016, methodology): “Based on our experience with WCPS, we have recently enhanced the wireless building control study, transforming it into a benchmark that can be used by the structural control community to explore and evaluate different wireless control approaches [86], allowing practitioners to easily generate and…”
Heterogeneous Feature Models and Feature Selection Applied to Bearing Fault Diagnosis (2015, methodology): “This simulator was also used as a benchmark in a model-based fault diagnosis system [30].”