Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions.
Martin W. HoffmannStephan WildermuthRalf GitzelAydin BoyaciJörg GebhardtHolger KaulIdo AmihaiBodo ForgMichael SuriyahThomas LeibfriedVolker StichJan HickingMartin BremerLars KaminskiDaniel BeverungenPhilipp zur HeidenTanja TornedePublished in: Sensors (2020)
Keyphrases
- machine learning
- data fusion
- power system
- learning algorithm
- machine learning methods
- energy dissipation
- predictive modeling
- machine learning algorithms
- sensor networks
- real time
- energy consumption
- information extraction
- active learning
- software maintenance
- multi sensor
- energy minimization
- text classification
- knowledge acquisition
- knowledge discovery
- data integration
- learning tasks
- predictive model
- sensor fusion
- electrical power
- sensor data
- text mining
- computer science
- pattern recognition
- reinforcement learning
- decision trees
- mobile agents
- high speed
- inductive logic programming
- computational intelligence
- mobile users
- transmission line
- power generation
- data mining