Recommendations for Practical Use of the Planning Method of Compound Technical Objects Exit Into Repair During Operation According to State
At the limit financing conditions the generally received direction of providing of the operable condition of products is transition from regulated strategy of maintenance and repair to strategy of maintenance and repair according to state. This strategy provides periodic execution of the limit state...
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Published in: | 2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC) pp. 1 - 4 |
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Main Authors: | , , , , , |
Format: | Conference Proceeding |
Language: | English |
Published: |
IEEE
01-10-2018
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Subjects: | |
Online Access: | Get full text |
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Summary: | At the limit financing conditions the generally received direction of providing of the operable condition of products is transition from regulated strategy of maintenance and repair to strategy of maintenance and repair according to state. This strategy provides periodic execution of the limit state check for each compound technical objects. The decision about further operation of object is made as the result of limit state check. The planning method of compound technical objects exit into repair during operation according to state allows divide the same type compound technical objects into two groups. The objects from the first group will not need repair during the next year. The objects from the second group needs repair during the next year. The recommendations for practical use of the method isn't developed. In the present paper we will develop some recommendations for practical use of the planning method of compound technical objects exit into repair during operation according to state. Also we will attach this method with the equations for prediction functions of mean-time-to-failure for the next year and use the method to four radio electronic means for planning of their exit into repair during operation according to state, the planning sequence is attached with the equations for prediction functions of mean-time-to-failure for the next year. |
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DOI: | 10.1109/SAIC.2018.8516868 |