IZENA ADAM: Framework para diagnóstico y prognosis automática de equipos dinámicos

AZALPENA

ADAM cubre tanto la arquitectura como las funcionalidades necesarias para el desarrollo de soluciones automáticas de diagnosis y prognosis de fallos para casos de uso de equipos dinámicos (motores, bombas, etc. de sistemas de conformado y remachado) en base al análisis de señales de diversos sensores.

Aplikazio-eremuak

Konformazio aurreratua

EKIPO ETA OSAGAI GARRANTZITSUENAK

  • (EDGE/cloud) data processing and result communica
  • Acceloremeters network
  • Data acquisition systems
  • Hw equipment for service demonstration in mechani
  • MCSA sensor network

AKTIBOAK ESKAINTZEN DITUEN ZERBITZUAK

Failure mode diagnostics (detection, identificati

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