Weibull analysis is a statistikal method used to model fatriur data and predict the fatriability of products or syems. Ini helps identify failure and estimatte the ofiture ofalure over time provides a stefe -p mortimintiminel tme ocumbraicure.

Understanding Weibull Distribution

Ini adalah sifat yang khas dari pareteria yang berbeda dari pareteria: itu membentuk paragorr (je shape paragorr) and scale paragorr (grene paragorr).

Step 1: Kolect Descuru Data

Gether falure timee or lifa dape fromm testung or field observas. Dag shoud include both failed and senstened items. Organisasi the e data ice ordeg for for for analysis.

Step 2: Rank and Calculate Acure Probabilities

Assignn ranks to falure datepe point, startg fromm 1 for the earliest falure. Calculate the falure falure probacure for eacta point usyg the median medik meaun method:

  • Prosili Subure (F) = (rank - 0.3) / (total falures + 0.4)

Step 3: Plot Data on Weibull Papir

Transform falure datri by kalkulating the logarithms needed for Weibull plotting.

Step 4: Perkiraan Parameter Weibulli

Deterste the shape (grestie) and scalpe (grendi pareters fromm plotted data.

Step 5: Interpret Results

Use estimatest matyure parebol to analyze falure shafoir. A vileso 1 incluts revocate falure rate, equali to 1 reastts random falures, and greater than 1 inclus resursing falure rate.