Predic­tive Main­te­nance

Problem

Unex­pected down­time of crucial compo­nents and machinery leads to huge costs and oper­a­tional prob­lems

Solu­tion

innoSEP’s approach of data training is based on long-term histor­ical data, tran­sient sensor data and phys­ical multi-domain modeling and detects required damage char­ac­ter­is­tics for accu­rate RUL-Esti­­ma­­tions

Solu­tions
$

Result

  • Contin­uous „Remaining-Useful-Life“-Estimations of in-service compo­nents
  • Knowl­­edge-Discovery about damage char­ac­ter­is­tics and system behavior
  • Guid­ance and recom­men­da­tion for Main­te­nance to increase overall availi­bility

14 + 14 =

… Contact us

Do you want a demo version? Do you have access to oper­a­tional process data? Do you have an AI Use Case in mind?

Feel free to contact us or give us a call: +49 511 590 72 777