Brain-Inspired Spiking Neural Networks for Industrial Fault Diagnosis: A Survey, Challenges, and Opportunities.
Huan WangYan-Fu LiKonstantinos GrylliasPublished in: CoRR (2024)
Keyphrases
- fault diagnosis
- spiking neural networks
- industrial systems
- gas turbine
- chemical process
- neural network
- biologically plausible
- fault detection
- biologically inspired
- industrial processes
- fault diagnostic
- expert systems
- feed forward
- motor control
- rotating machinery
- operating conditions
- electronic equipment
- learning rules
- rbf neural network
- condition monitoring
- power transformers
- artificial neural networks
- analog circuits
- multiple faults
- spiking neurons
- bp neural network
- industrial applications
- fuzzy logic
- fault detection and diagnosis
- monitoring and fault diagnosis
- human brain
- training algorithm
- machine learning
- mobile robot
- image enhancement
- visual cortex
- real time