Markov analysis of unmanned cryogenic nitrogen plant with standby system
- Title
- Markov analysis of unmanned cryogenic nitrogen plant with standby system
- Creator
- Appia S.
- Description
- The unmanned cryogenic nitrogen plants operated by the industrial gas companies globally have their unique set of Reliability, Availability and Maintainability challenges. A generic reliability model of a typical unmanned cryogenic nitrogen plant is presented in this research work along with standby cryogenic storage System. The standby system is analysed for sensing and switching device as well as for load sharing system. The complexities of unmanned cryogenic nitrogen plant under repair with standby system are analysed using Markov method. A Markovian model has been developed for two different configurations: Configuration-1: Cryogenic nitrogen plant with gas and liquid production, nitrogen plant with only gas production and its dependence on the standby cryogenic storage system and to overall system reliability. Configuration-2: Considering cryogenic nitrogen plant is under repair and the standby system with external supply component under operation without failure and the system reliability of the configurations are solved by solving the set of differential equations and the solutions are presented in this paper. 2020 Author(s).
- Source
- AIP Conference Proceedings, Vol-2246
- Date
- 2020-01-01
- Publisher
- American Institute of Physics Inc.
- Subject
- Markov process; RAM; Reliability Block Diagram; Semi-Markov Process; Unmanned Nitrogen plant
- Coverage
- Appia S., Department of Mechanical and Automobile Engineering, Faculty of Engineering, Christ (Deemed to Be University), Bangalore, India
- Rights
- Restricted Access
- Relation
- ISSN: 0094243X; ISBN: 978-073542005-2
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Appia S., “Markov analysis of unmanned cryogenic nitrogen plant with standby system,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/20701.