Development of Predictive Maintenance Model for N-Component Repairable System Using NHPP Models and System Availability Concept
| Autor: | Sandeep Mondal, Nishit Kumar Srivastava |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Mean time between failures
Computer science Component (UML) 020208 electrical & electronic engineering 0502 economics and business 05 social sciences 0202 electrical engineering electronic engineering information engineering Operations management 02 engineering and technology Business and International Management 050203 business & management Predictive maintenance Reliability engineering |
| Zdroj: | Global Business Review. 17:105-115 |
| ISSN: | 0973-0664 0972-1509 |
| DOI: | 10.1177/0972150915610697 |
| Popis: | The technologically intensive nature of the predictive maintenance (PdM) method restricts its use to companies with higher turnover. This research is aimed to propose a PdM model for an N-component repairable system by integrating non-homogeneous Poisson process (NHPP) models and a system availability concept such that the use of technology is minimized, thereby extending its applicability to companies with lower turnover. It is known that manufacturing systems show reliability degradation with repeated overhauls and component replacements. This has the effect that the mean time between failures (MTBF) is non-identically distributed. Hence, the failure pattern of each component is analyzed using NHPP models and the mean system availability is calculated, which is now compared with the threshold system availability deciding the overall maintenance of the system. Further, the developed model is validated on a wheat flour mill. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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