Journal
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY
Volume 235, Issue 3, Pages 331-337Publisher
SAGE PUBLICATIONS LTD
DOI: 10.1177/1748006X20979437
Keywords
Machine tool component; fault transfer probability; improved LeaderRank; Markov process; importance evaluation
Categories
Funding
- Jilin Province Science and Technology Development Program [20190302104GX]
- PH.D. Graduate Interdisciplinary Research of Jilin University [101832020DJX037]
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This article discusses the impact of failure transitivity and importance of machine tool components on maintenance cycles, proposing definitions for fault transfer probability and utilizing the improved LeaderRank algorithm to evaluate component importance.
The existence of the failure transitivity of machine tool components makes the fault transfer probability of components demonstrate dynamic time-variability, which affects the importance of components and further affects the machine maintenance cycle. Therefore, studying fault transfer probability and the importance of machine tool components is necessary. In this article, the fault transfer probability of component is defined according to component fault propagation directed graph and component independent fault and related fault model based on time correlation. Assuming that the fault propagation follows the Markov process, the improved LeaderRank algorithm is applied to evaluate the importance of components by introducing background node and calculating failure impact degree of component on the basis of out-degree. Finally, the specific application is verified by taking the fault information of a certain type of machine as an example.
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