IZENA ADAM: Automatic diagnosis and prognostics development framework for dynamic equipment.

AZALPENA

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.

Aplikazio-eremuak

Konformazio aurreratua

EKIPO ETA OSAGAI GARRANTZITSUENAK

  • (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

AKTIBOAK ESKAINTZEN DITUEN ZERBITZUAK

Failure mode diagnostics (detection, identification and location) services development for mechanical subsystems through analysis of different sensors acceloremeters, MCSA and/or temperature for alarm

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.

AKTIBOA KUDEATZEN DUEN ERAKUNDEA

AKTIBOA KUDEATZEN DUEN ERAKUNDEA
FUNDACIÓN TECNALIA RESEARCH & INNOVATION
Harremanetarako pertsona:
Jokin Rubio Botía
jokin.rubiobotia@tecnalia.com