Abstract
The Gas turbine is a device that uses gas which, in this case, functions as fluid to turn a turbine with internal combustion so it can turn a generator to produce electricity. Gas turbines have a high level of danger. Thus, research is needed to analyze the potential of the failure in the components presented in the gas turbines. Error analysis will be carried out quantitatively. Quantitative analysis is done by calculating all components and determining preventive maintenance. Historical failure data and support of structured and unstructured data from gas turbines for 1 year will be collected. The goal is to recognize the pattern of damage patterns and equipment approval levels. The regression value will be calculated by R Software to determine whether the Weibull distribution is sufficient. Using Weibull analysis, we can conclude that it would be more beneficial to use prevention as the first barrier from the failure. This can be analyzed using the Weibull Distribution Equation combined with the Big Data Analytic method and visualizing with R Software.The result is reliability value of the system at 4380 hours or 6 months of operation obtained a reliability value of 0.795.
| Original language | English |
|---|---|
| Title of host publication | IESC2020: International Engineering Students Conference 2020 |
| Publisher | Easy Chair |
| Pages | 1-5 |
| Number of pages | 5 |
| Publication status | Published - 25 Jul 2020 |
Keywords
- Gas Turbine
- Reliability
- Weibull distribution
- Big Data