A Machine-Learning-Based Distributed System for Fault Diagnosis With Scalable Detection Quality in Industrial IoT.
Rodrigo MarinoCristian WisultschewAndrés OteroJosé Manuel Lanza-GutiérrezJorge PortillaEduardo de la TorrePublished in: IEEE Internet Things J. (2021)
Keyphrases
- fault diagnosis
- distributed systems
- machine learning
- industrial systems
- gas turbine
- chemical process
- expert systems
- neural network
- mobile computing
- fault detection
- operating conditions
- rotating machinery
- fault detection and diagnosis
- fault tolerance
- mobile agents
- computational intelligence
- fault tolerant
- bp neural network
- electronic equipment
- concurrent systems
- multiple faults
- industrial applications
- load balancing
- fault detection and isolation
- fuzzy logic
- fault diagnostic
- quality improvement
- industrial processes
- failure diagnosis
- multi sensor information fusion
- power transformers
- analog circuits
- condition monitoring
- monitoring and fault diagnosis
- intelligent systems
- learning algorithm
- electrical power systems
- data replication
- fault tree
- security policies
- steady state
- tennessee eastman
- case study
- data mining