Fault Diagnosis of Water Quality Monitoring Devices Based on Multiclass Support Vector Machines and Rule-Based Decision Trees.
Shuangyin LiuLongqin XuQiucheng LiXuehua ZhaoDaoliang LiPublished in: IEEE Access (2018)
Keyphrases
- fault diagnosis
- water quality
- multiclass support vector machines
- decision trees
- expert systems
- monitoring and fault diagnosis
- condition monitoring
- industrial systems
- fault detection and diagnosis
- multi class
- fault detection
- water treatment
- measured data
- operating conditions
- neural network
- bp neural network
- fuzzy logic
- multi task
- training data
- multiple faults
- electronic equipment
- power transformers
- chemical process
- real time
- analog circuits
- gas turbine
- machine learning algorithms
- machine learning
- multi sensor information fusion
- multiclass problems
- power plant
- base classifiers
- rule base
- naive bayes
- support vector machine
- artificial neural networks
- training set
- active learning