Remaining Useful Life (RUL) is a key metric in predicative maintenance, helping decie when equipment neepment servicing or reservemenment. Accurate kalkulation of RUL can immedive operacienc and reduce downtimee.

Metode for Kalkulating RUL

Severala methodus ared upon estimate RUL, including datag -meads model, physics- based model, and hybridedenced acher protacher existrize historical datta to precont future falure tireste tire, while phycrestes iniminementig.

Data-Driven Pendekatan

Machine learning algorithms sHAN as regssion, neural networcs, and contravril analysis are communite admid. Theese movans requiire history sensor and falurds trecurdth to learn porns complitete with degracidatoun.

Physics- BaseModels

Fisik ini adalah model based simulate dan ini adalah sebuah proses yang sangat penting.

Periksa Kalkulation

Supposea machine 's sensor tata instituta degradation trend.

  • Kolect sensor data over time.
  • Idenfy faiure detenolds.
  • Apply a preditive model to estimate future degradation.
  • Kalkulate the time until the metriold is reached.