Abstract
The paper presents a new method for reliability assessment for complex multi-state system. The system and its components can have different performance levels ranging from perfect functioning to complete failure. Straightforward Markov method applied to solve the problem will require building of the system model with great number of states and solving a corresponding system of differential equations. Lz-transform method, which is used for reliability assessment drastically simplified the solution. Instead of straightforward finding of the resulting output stochastic process for entire MSS in the paper proposed finding Lztransform of this output process, which is essentially simpler because of using Ushakov's universal generating operator. Some reliability indices such as availability, expected performance, etc. may be found from the expression of this Lztransform. In order to find other indices such as reliability function, mean time to failure etc. inverse LZ-transform is using that completely reveals underlying output process.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 20th Issat International Conference Reliability and Quality in Design |
| Publication date | 2014 |
| Pages | 11-19 |
| ISBN (Print) | 9780991057603 |
| Publication status | Published - 2014 |
| Event | 20th ISSAT International Conference on Reliability and Quality in Design - Seattle, United States Duration: 7 Aug 2014 → 9 Aug 2014 Conference number: 20 |
Conference
| Conference | 20th ISSAT International Conference on Reliability and Quality in Design |
|---|---|
| Number | 20 |
| Country/Territory | United States |
| City | Seattle |
| Period | 07/08/2014 → 09/08/2014 |
Keywords
- Safety, Risk, Reliability and Quality
- Inverse Lz-transform
- Lz-transform
- Multi-state system
- Reliability
- Universal generating function
- Differential equations
- Random processes
- Reliability analysis
- Stochastic systems
- Dynamic reliability assessment
- Mean time to failure
- Reliability assessments
- Reliability functions
- System of differential equations
- Transform methods
- Universal generating functions
- Inverse transforms
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