Multi-fault Diagnosis of Roller Bearings Using Support Vector Machines with an Improved Decision Strategy.
M. M. Manjurul IslamSheraz A. KhanJong-Myon KimPublished in: ICIC (3) (2015)
Keyphrases
- fault diagnosis
- condition monitoring
- fault detection
- expert systems
- neural network
- gas turbine
- fault detection and diagnosis
- chemical process
- power transformers
- operating conditions
- bp neural network
- rbf neural network
- multi sensor information fusion
- fault identification
- monitoring and fault diagnosis
- decision making
- decision makers
- failure diagnosis
- electronic equipment
- vibration signal
- tennessee eastman
- fuzzy logic
- industrial systems
- multiple faults
- soft computing methods
- analog circuits
- electrical power systems
- rotating machinery
- fault tree
- case study
- power plant
- industrial processes
- real time