DENOMINACIÓN ADAM: Automatic diagnosis and prognostics development framework for dynamic equipment.
ADAM comprises both architecture as well as required functionality to develop automatic failure mode diagnostics and prognosis services for dynamic equipments (including motors, pumps, etc in metal forming systems) through the analysis of multisensory signals.
ÁMBITOS DE APLICACIÓN
Conformado avanzado
EQUIPOS Y COMPONENTES MÁS DESTACADOS
-
(EDGE/cloud) data processing and result communication/visualization equipment.
-
Acceloremeters network
-
Data acquisition systems
-
Hw equipment for service demonstration in mechanical subsystems
-
MCSA sensor network
SERVICIOS OFRECIDOS POR EL ACTIVO
Failure mode diagnostics (detection, identification and location) services development for mechanical subsystems through analysis of different sensors acceloremeters, MCSA and/or temperature for alarm generation or corrective maintenance actions planning.
Failure mode diagnostics (detection, identification and location) services development for mechanical subsystems through analysis of different sensors acceloremeters, MCSA and/or temperature for alarm generation or corrective maintenance actions planning.
Hydraulic subsystems diagnostics
Failure mode diagnostics (detection, identification and location) services development for hydraulic subsystems (centrifugal or piston pumps) through analysis of different sensors acceloremeters, MCSA and/or temperature for alarm generation or corrective maintenance actions planning.
Hydraulic subsystems diagnostics
Prognosis services (degradation modelling and RUL estimation) development for hydraulic subsystems (centrifugal or piston pumps) through analysis of different sensors acceloremeters, MCSA and/or temperature to enable migration to predictive maintenance management strategies.
Mechanical subsystems prognosis
Prognosis services (degradation modelling and RUL estimation) development for mechanical subsystems through analysis of different sensors acceloremeters, MCSA and/or temperature to enable migration to predictive maintenance management strategies.
ENTIDAD QUE GESTIONA EL ACTIVO
Persona de contacto:
Jokin Rubio Botía
jokin.rubiobotia@tecnalia.com