LightGBM-Based Fault Diagnosis of Rotating Machinery Under Changing Working Conditions Using Modified Recursive Feature Elimination.
Alireza Nemat SaberiAnouar BelahcenJan SobraToomas VaimannPublished in: IEEE Access (2022)
Keyphrases
- rotating machinery
- fault diagnosis
- fault detection
- operating conditions
- neural network
- recursive feature elimination
- expert systems
- fault detection and diagnosis
- monitoring and fault diagnosis
- fuzzy logic
- multiple faults
- support vector machine
- power transformers
- electronic equipment
- bp neural network
- cancer diagnosis
- analog circuits
- gas turbine
- chemical process
- multi sensor information fusion
- image processing
- training data
- fuzzy clustering
- data sets
- control system