New generation of on-line monitoring for the gearbox diagnostic with help of artefictial inteligency
Provider: Technologická agentura České republiky
Programme: TREND program na podporu průmyslového výzkumu a experimentálního vývoje
Implementation period: 01.01.21 - 31.12.23
Workplace:
Fakulta elektrotechniky a informatiky - Katedra elektroniky a rádiových syst
Investigator: Matoušek DavidTeam member: Roleček Jiří
Description:
The goal is: 1) Creation of a specialized interdisciplinary team 2) Design a new generation of online condition monitoring, including automated evaluation using artificial intelligence 3) Condition monitoring expansion by a system measuring for torque, acoustic emissions, purity and degradation of oil 4) Design of own new generation gearbox condition monitoring system with raw data measuring and processing for on-line automatic evaluation of gearbox state and last but not least programming of evaluation of measured data using artificial intelligence (Machine learning and Deep learning). 5)The functional prototype of new generation of online condition monitoring assembling and verification. Verification of new condition monitoring and their reliability at the gearbox test room in Wikov MGI
The goal is: 1) Creation of a specialized interdisciplinary team 2) Design a new generation of online condition monitoring, including automated evaluation using artificial intelligence 3) Condition monitoring expansion by a system measuring for torque, acoustic emissions, purity and degradation of oil 4) Design of own new generation gearbox condition monitoring system with raw data measuring and processing for on-line automatic evaluation of gearbox state and last but not least programming of evaluation of measured data using artificial intelligence (Machine learning and Deep learning). 5)The functional prototype of new generation of online condition monitoring assembling and verification. Verification of new condition monitoring and their reliability at the gearbox test room in Wikov MGI
