Skip to main navigation
Skip to search
Skip to main content
Arizona State University Home
Home
Profiles
Departments and Centers
Scholarly Works
Activities
Equipment
Grants
Datasets
Prizes
Search by expertise, name or affiliation
Bayesian planning of step-stress accelerated degradation tests under various optimality criteria
Xiujie Zhao,
Rong Pan
, Min Xie
Computer Science and Engineering
Industrial, Systems and Operations Engineering
Computing and Augmented Intelligence, School of (IAFSE-SCAI)
Research output
:
Contribution to journal
›
Article
›
peer-review
10
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Bayesian planning of step-stress accelerated degradation tests under various optimality criteria'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Degradation
97%
Optimality Criteria
89%
Planning
81%
Inspection
29%
Testing
28%
Gamma Process
17%
Utility Function
15%
Wiener Process
14%
Optimise
13%
Necessity
13%
Lifetime
13%
Demonstrate
7%
Approximation
6%
Model
4%
Business & Economics
Optimality
100%
Degradation
81%
Planning
64%
Testing
33%
Inspection
25%
Gamma Process
20%
Wiener Process
19%
Utility Function
11%
Approximation
10%
Engineering & Materials Science
Degradation
55%
Planning
50%
Testing
20%
Inspection
19%
Electric lamps
14%
Light emitting diodes
13%