A fuzzy type-2 fault detection methodology to minimize false alarm rate in induction motor monitoring applications.
Erick Melo RochaWalter Barra JuniorKevin Eduardo Lucas MarcilloCarlos Tavares da Costa JuniorJosé Gracildo de Carvalho JúniorRenan Landau P. MedeirosFabricio Gonzalez NogueiraPublished in: Appl. Soft Comput. (2020)
Keyphrases
- fault detection and diagnosis
- induction motor
- fault detection
- false alarm rate
- condition monitoring
- fuzzy controller
- false alarms
- fuzzy logic controller
- detection rate
- failure detection
- fault diagnosis
- industrial processes
- control scheme
- target detection
- fuzzy logic
- closed loop
- fuzzy rules
- fuzzy sets
- control system
- false positive rate
- membership functions
- computer vision
- real time
- power plant
- infrared
- pid controller
- receiver operating characteristic
- fuzzy clustering
- soft computing
- control algorithm
- pattern recognition
- hyperspectral