A Current-Based Fault Diagnosis Method for Rotating Machinery With Limited Training Samples.
Xu HouFujia DuKang HuangJize QiuXin ZhongPublished in: IEEE Trans. Instrum. Meas. (2023)
Keyphrases
- training samples
- rotating machinery
- feature space
- training data
- number of training samples
- training set
- learning algorithm
- high dimensional
- test sample
- decision function
- decision boundary
- supervised learning
- hyperplane
- sample set
- data mining
- weak classifiers
- support vectors
- fault diagnosis
- face images
- discriminative information
- base classifiers
- feature selection
- data sets
- representative samples