Skip to main navigation
Skip to search
Skip to main content
Penn State Home
Help & FAQ
Link opens in a new tab
Search content at Penn State
Home
Researchers
Research output
Research units
Equipment
Grants & Projects
Prizes
Activities
Using Weibull regression to estimate the load-life relationship for rolling bearings.
J. I. McCool
Engineering Division (Great Valley)
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Using Weibull regression to estimate the load-life relationship for rolling bearings.'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Rolling Bearing
100%
Weibull Regression
100%
Scale Parameter
50%
Low Stress
50%
Model Fitting
50%
Function Relationship
50%
Endurance Test
50%
Weibull
50%
Weibull Shape Parameter
50%
Statistical Techniques
50%
Power-law Model
50%
Power Function
50%
Numerical Value
50%
Maximum Likelihood Method
50%
Interval Estimation
50%
Mathematics
Interval Estimate
100%
Model Fit
50%
Scale Parameter
50%
Shape Parameter
50%
Observed Data
50%
Statistical Technique
50%
Maximum Likelihood
50%
Power Function
50%
Interval Estimation
50%
Numerical Value
50%
Engineering
Endurance Test
50%