Fault-diagnosis for reciprocating compressors using big data and machine learning.
Guanqiu QiZhiqin ZhuKe ErqinhuYinong ChenYi ChaiJian SunPublished in: Simul. Model. Pract. Theory (2018)
Keyphrases
- multi sensor information fusion
- big data
- fault diagnosis
- machine learning
- data science
- data analysis
- fault detection
- neural network
- cloud computing
- knowledge discovery
- expert systems
- data management
- social media
- data processing
- big data analytics
- condition monitoring
- fault detection and diagnosis
- vast amounts of data
- power transformers
- fuzzy logic
- operating conditions
- business intelligence
- predictive modeling
- bp neural network
- rotating machinery
- data warehousing
- power plant
- gas turbine
- industrial systems
- databases
- monitoring and fault diagnosis
- electronic equipment
- fault identification
- multiple faults
- analog circuits
- supervised learning
- chemical process
- massive datasets
- model selection
- electrical power systems
- management system
- computational intelligence
- case study
- data mining
- database management systems
- real time