Fault Detection based on Statistical Multivariate Analysis and Microarray-type Visualization.
Ming-Da MaDavid Shan-Hill WongShi-Shang JangSheng-Tsaing TsengPublished in: IEEE Trans. Ind. Informatics (2010)
Keyphrases
- microarray
- fault detection
- gene expression
- high throughput
- gene expression data
- microarray data
- fault diagnosis
- industrial processes
- gene expression profiling
- gene expression levels
- fault identification
- gene ontology
- gene networks
- molecular biology
- gene selection
- failure detection
- experimental conditions
- high dimensionality
- microarray data analysis
- data analysis
- gene expression analysis
- tennessee eastman
- data sets
- gene expression profiles
- regulatory networks
- cancer classification
- gene expression data sets
- microarray images
- power plant
- dna microarray
- genome wide
- self organizing maps
- tissue samples
- fuel cell
- decision making
- gene expression microarray data
- real time
- robust fault detection
- control system
- microarray datasets
- clustering algorithm
- knowledge base
- differentially expressed genes