Subspace method aided data-driven design of fault detection and isolation systems
By Steven X. Ding, Ping Zhang, A. Naik, E. Ding, Biao Huang. 2009
310 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/b9e9dc198d1ee1bd4385fa02f04e90a8814363db
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In Control and Systems Engineering
In Mechanical Engineering
Citations in the corpus
- Real-Time Implementation of Fault-Tolerant Control Systems With Performance Optimization (2014, methodology): “Using the relation between a parity vector and the solution of the Luenberger equations [28], [30], the observerbased residual generator can be constructed as follows:”
- A Review on Basic Data-Driven Approaches for Industrial Process Monitoring (2014, background): “Recently, based on the intimate relationship between the wellestablished SIM and parity vectors [27], [74], [75], a new model-free data-driven design procedure is proposed in [76], whose core is a residual generator in the form of the diagnostic observer (DO) that is directly constructed using the p”
- Data-Based Techniques Focused on Modern Industry: An Overview (2015, background): “designed, and further fault-tolerant control structure can be established according to [20] and [21].”
- Performance-Driven Distributed PCA Process Monitoring Based on Fault-Relevant Variable Selection and Bayesian Inference (2016, background): “variate statistical process monitoring (MSPM), have received significant interests [9]–[13].”