Impact of Noise on Machine Learning-based Condition Monitoring Applications: a Case Study.
Roberto BodoMatteo BertoccoAlberto BianchiPublished in: I2MTC (2020)
Keyphrases
- condition monitoring
- machine learning
- vibration signal
- acoustic emission
- fault detection
- fault diagnosis
- nuclear power plant
- case study
- power transformers
- noise level
- machine learning methods
- signal to noise ratio
- tool wear
- text classification
- artificial intelligence
- knowledge discovery
- feature selection
- case based reasoning
- data mining
- missing data
- learning algorithm
- noise removal
- noise reduction
- machine learning algorithms
- decision trees
- low frequency
- noisy data
- neural network
- cutting tool