Design and prototype development of an AI-based application for predictive maintenance using smart device and airborne noise data.
Michael HirschmillerKevin SchlosserManfred RössleMarc FernandesPublished in: KES (2023)
Keyphrases
- data sets
- case study
- data collection
- database
- data sources
- missing data
- training data
- data analysis
- noisy data
- synthetic data
- design process
- knowledge based systems
- high quality
- user interface
- end users
- data acquisition
- case based reasoning
- artificial intelligence
- design tools
- application specific
- random noise
- data quality
- data warehouse
- image data
- data points
- probability distribution
- xml documents
- data structure
- decision support
- sensor data
- knowledge representation
- raw data
- noise reduction
- design principles
- rapid prototyping
- data mining