Identifying product failure rate based on a conditional Bayesian network classifier

• Published in: Expert systems with applications Vol. 38; no. 5; pp. 5036 - 5043
• Main Authors: Cai, Zhiqiang, Sun, Shudong, Si, Shubin, Yannou, Bernard
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.05.2011; Elsevier
• Subjects: Bayesian analysis; Bayesian network; Classification; Classifier; Classifiers; Computer Science; Conditional independence; Decision trees; Engineering Sciences; Failure rate; Failure rates; Maintenance management; Mathematical models; Mechanics; Modeling and Simulation; Networks; Quality; Conditional independence; Classifier; Failure rate; Bayesian network; Maintenance management

► CBN introduces the conditional independence relationships among attribute variables. ► CBN provides an effective approach to classify the failure rate rank of products. ► CBN increases the classification accuracy. ► CBN makes an acceptable balance between classifier complexity and performance. To...