A robust clustering method for detection of abnormal situations in a process with multiple steady-state operation modes.
Mauricio MaestriAndrés FarallPablo GroismanMiryan CassanelloGabriel HorowitzPublished in: Comput. Chem. Eng. (2010)
Keyphrases
- steady state
- clustering method
- markov chain
- cluster analysis
- hierarchical clustering
- spectral clustering
- fuzzy c means
- abnormal situations
- clustering algorithm
- steady states
- explicit expressions
- computationally efficient
- operating conditions
- feedback loop
- queue length
- affinity propagation
- k means
- graph clustering
- state dependent
- clustering result
- fluid model
- limit cycle
- pairwise
- real time