A MODIFIED GO METHODOLOGY FOR SYSTEM AVAILABILITY ASSESSMENT
| dc.contributor.advisor | Billington, R. | |
| dc.creator | Patwardhan, Mahesh | |
| dc.date.accessioned | 2024-07-17T19:17:06Z | |
| dc.date.available | 2024-07-17T19:17:06Z | |
| dc.date.issued | 1986 | |
| dc.date.submitted | October 1986 | |
| dc.description.abstract | System availability analysis methods are based on a physical appreciation of the basic functions and relationships for the components that make up the system. One of the more popular techniques for analyzing system availability is known as the GO method. This technique forms the basis of the studies reported in this thesis. The analysis of. series components and systems consisting of series components normally assumes that the elements are independent when calculating the availability The utilization of this assumption in series systems where no further failures can occur once a failure has occurred leads to an underestimation of system availability. The basic GO Methodology assumes independence of series elements in the determination of system availability. The work presented in this thesis constitutes a study of the basic GO Methodology. The concept of independence and the effect of this assumption in series systems is examined. A modification is developed and incorporated in the calculation procedure which utilizes equivalent components in place of the individual series elements. The modified program is used to analyse a practical system and the results are compared with those obtained using the original approach. The effect on the calculated system availability due to the recognition of series component dependence is clearly illustrated. | |
| dc.identifier.uri | https://hdl.handle.net/10388/15832 | |
| dc.title | A MODIFIED GO METHODOLOGY FOR SYSTEM AVAILABILITY ASSESSMENT | |
| dc.type.genre | Thesis | |
| thesis.degree.department | Electrical Engineering | |
| thesis.degree.grantor | University of Saskatchewan | en_US |
| thesis.degree.level | Masters | |
| thesis.degree.name | Master of Science (M.Sc.) |