Yang Qiang
School of Mechanical Engineering and Automation, Northeastern University, 110819, Shenyang, China
Zhi-Li Sun
School of Mechanical Engineering and Automation, Northeastern University, 110819, Shenyang, China
Bian Ji
School of Mechanical Engineering and Automation, Northeastern University, 110819, Shenyang, China
Zhao Xin
School of Mechanical Engineering and Automation, Northeastern University, 110819, Shenyang, China
ABSTRACT
Lacking of failure samples, the estimation of MTBF of the crane is imprecise. Half of the MTBF is regarded as inspection period in classical condition-based maintenance analysis. Because of ignoring reliability life changing of the product, maintenance with fixed period usually leads to more or less of inspection and replacement. Prior information of reliability estimation can be calculated according to laboratory failure data during the course of designing and precious records of similar products, reliability estimation modal combining with small samples from on-site test is built based on Bayes theorem and reliability forecast is realized. Furthermore, first-time inspection period and repeated inspection period models of condition-based maintenance analysis are set up, on the basis of maintenance cost and availability strategy, the calculation methods of optimal inspection periods are given. This research provides a reference for prediction of reliable life and inspection strategy establishing for condition-based maintenance of mechanical-electrical special equipment which lack failure data of factory and laboratory.
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How to cite this article
Yang Qiang, Zhi-Li Sun, Bian Ji and Zhao Xin, 2013. Calculation of Condition-based Maintenance Inspection Period for the Girder of Crane. Journal of Applied Sciences, 13: 4166-4173.
DOI: 10.3923/jas.2013.4166.4173
URL: https://scialert.net/abstract/?doi=jas.2013.4166.4173
DOI: 10.3923/jas.2013.4166.4173
URL: https://scialert.net/abstract/?doi=jas.2013.4166.4173
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