DaCoMo - Data-Driven Condition Monitoring

• Forschungsstelle: INNOSUISSE
• Projektnummer: 17729.1 PFES-ES
• Projekttitel Englisch: DaCoMo - Data-Driven Condition Monitoring

Kurzbeschreibung (Deutsch)

DaCoMo - Data-Driven Condition Monitoring

Kurzbeschreibung (Englisch)

DaCoMo - Data-Driven Condition Monitoring

Abstract (Deutsch)

The goal of DaCoMo is to develop a novel, totally data driven process for predictive maintenance which|needs no prior knowledge of the machine itself or its components in order to detect and predict faults. This|increases the efficiency of the service: neither frequency spectra need to be input nor visually inspected by|experts. The challenge lies in the acquisition of data sets with representative error signatures and in|learning the fault characteristics purely from data.

Abstract (Englisch)

The goal of DaCoMo is to develop a novel, totally data driven process for predictive maintenance which|needs no prior knowledge of the machine itself or its components in order to detect and predict faults. This|increases the efficiency of the service: neither frequency spectra need to be input nor visually inspected by|experts. The challenge lies in the acquisition of data sets with representative error signatures and in|learning the fault characteristics purely from data.