Fault detection based on a bio-inspired vibration sensor system.
Zhengchao LiXing Jian JingJinyong YuPublished in: ASCC (2017)
Keyphrases
- bio inspired
- fault detection
- fault diagnosis
- vibration signal
- swarm intelligence
- industrial processes
- fault identification
- condition monitoring
- tennessee eastman
- sensor networks
- neural network
- artificial neural networks
- fault detection and diagnosis
- low level image processing
- expert systems
- hybrid intelligent systems
- fault localization
- failure detection
- power plant
- fuzzy logic
- fuel cell
- fault detection and isolation
- image analysis and pattern recognition
- real time
- robust fault detection
- image processing
- genetic algorithm
- data mining
- fault isolation
- operating conditions
- ant colony optimization
- machine learning