Title :
Bayesian method applied to analyzing reliability of engineering machinery engine
Author :
Guo Jie ; Zhi Jun ; Fu Cheng-qun ; Ran Hong-liang ; Zhao Xian-li
Author_Institution :
Coll. of Field Eng., PLA Univ. of Sci. & Technol., Nanjing, China
Abstract :
Based on the complexity of the construction machinery system and the complicated characteristics of its reliability analysis, we put Bayesian Network to use in reliability analysis. Taking construction machinery engine as an example, the first thing to do is to construct a Fault Tree of engine system; then, a Bayesian Network model of reliability assessment of engine system is established according to the transforming principle of the Fault Tree and Bayesian network; followed by an reliability analysis of construction engine system and its operation system. By the way of analyzing the known node failure rate of system reliability, the known system at its place of failure and the failure rate of each node at its known system failure mode. An effective method is provided to carry out a reliability analysis of construction engine.
Keywords :
belief networks; construction equipment; engines; failure analysis; fault trees; Bayesian method; Bayesian network model; complicated characteristics; construction engine system; construction machinery engine; construction machinery system complexity; engineering machinery engine reliability; fault tree; node failure rate; operation system; reliability analysis; reliability assessment; system failure mode; system reliability; Analytical models; Bayes methods; Engines; Fault trees; Machinery; Reliability engineering; Bayesian Network; Bayesian reasoning; construction machinery; fault tree; reliability analysis;
Conference_Titel :
Information Technology and Artificial Intelligence Conference (ITAIC), 2014 IEEE 7th Joint International
Print_ISBN :
978-1-4799-4420-0
DOI :
10.1109/ITAIC.2014.7065073
