Research on equipment failure rate forecasting based on gray-linear regression combined model
| Autor: | Hong-Yuan Zhang, Na Tang, Guo-Hui Yan, Kun-Peng Bi |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Engineering
Operations research business.industry 010401 analytical chemistry 020206 networking & telecommunications 02 engineering and technology 01 natural sciences Regression 0104 chemical sciences Data modeling Reliability engineering Equipment failure Linear regression 0202 electrical engineering electronic engineering information engineering business Gray (horse) |
| Zdroj: | 2016 Prognostics and System Health Management Conference (PHM-Chengdu). |
| DOI: | 10.1109/phm.2016.7819821 |
| Popis: | The paper researches math model about equipment failure rate, in order to forecast exactly equipment failure rate and advance equipment integrity rate and mission success rate and reserve rationality maintenance material. The paper establishes the gray-linear regression combined model and conceives math formula between equipment failure rate and use time. At the same time, the gray-linear regression combined model is proved to be valid and more accurate forecasting method compare with single forecasting model through practical example. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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