Availability, MTTF and cost analysis of a system having two units in series configuration with controller

Singh, V. V.; Singh, Sukhwinder; Ram, Mangey; Goel, C. K.

doi:10.1007/s13198-012-0102-0

Cited by 38 publications

(19 citation statements)

References 13 publications

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“…Reliability, availability, and maintainability (RAM) analysis of the plant was carried out in order to propose the maintenance time of the plant to enhance its availability and performance and ensure a proper power supply. Various other system characteristics such as mean time to failure (MTTF) and the cost-benefit tradeoff for single-and two-unit systems have been extensively studied by many researchers such as Singh et al [12], Kumar et al [13], Kumari et al [14], Kumar and Saini [15], and Saini and Kumar [16]. Devi et al [17] developed a model for a coal-fired power plant to mitigate the risk of unexpected failures, reduce the overall costs of production, evaluate the availability index using a Markov birth-death process, and identify the most critical unit of each subsystem.…”

Section: Literature Reviewmentioning

confidence: 99%

Operational availability analysis of generators in steam turbine power plants

2020

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The main aim of this study is to explore the availability and profitability of generators, which are key units of steam turbine power plants, considering exponential failure and arbitrary repair time distributions. A Markov birth-death process and supplementary variable technique are used to evaluate system effectiveness measures. Such a generator mainly consists of seven repairable components arranged in a series configuration. A stochastic model of the generator is developed, and the Chapman-Kolmogorov differential difference equation of the system derived. Finally, the results for the steadystate availability and profitability of the system are obtained for a particular case that will be helpful to system designers to enhance the performance of plants to some extent.

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Section: Literature Reviewmentioning

confidence: 99%

Operational availability analysis of generators in steam turbine power plants

2020

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“…Wang and Chen [13] discussed system availability among three systems with a reboot delay, switching failures, and general repair times. Singh et al [14] evaluated the transitional state probabilities, system reliability, system availability, mean time to first system failure, and the cost of the system by using the supplementary variable technique. Yu et al [15] proposed a method to optimize the availability of a system where the objective of their study was to minimize the system cost under the constraint that system availability must maintain a given level.…”

Section: Utilized the Supplementary Variable Technique To Analyze Thementioning

confidence: 99%

Comparison of Three Availability Systems with Warm Standby Components, Detection Delay, and General Repair Times

2020

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This study analyzes three availability systems with warm standby units, fault detection delay, and general repair times. The failure times and repair times of failed components were assumed to follow exponential and general distributions, respectively. The detection delay times were assumed to be exponentially distributed. This study exploited the supplementary variable technique to develop a recursive method for deriving the steady-state availability for three systems. By using extensive numerical computations, we compared three systems in terms of system availability based on specific values given to the system parameters. The state transition rate diagrams of the three systems revealed the symmetry property approximately. The three systems were ranked based on the system availability and the cost/benefit for the three various repair time distributions: exponential, three-stage Erlang, and deterministic, where the benefit was system availability.

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“…Singh et al [15] studied reliability measures (Availability, MTTF, and cost of a system which have two subsystems in a series configuration with a controller. Singh et al [16,17] have studied the reliability measures of a standby complex system under the concept of switch failures and controllers using copula distribution. Singh and Ayagi [18] have analyzed a complex system under preemptive resume repair using Gumbel-Hougaard family copula.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Assessment of Two-Unit Parallel System with Correlated Lifetime under Inspection Using Regenerative Point Technique

Singh

Poonia

2019

Int J Reliabl Risk Safe Theory App

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This paper deals with the reliability analysis of a complex system consisting of a two dissimilar unit' in a parallel configuration with correlated lifetime distribution. The system stops functioning when both units stop working. Both units are inspected periodically as well as being examined before assigning to repair facility. Under consideration of the system have two states: Normal and failed. Regenerative point technique has been used for the mathematical formulation of the model. The system is analyzed using Laplace transforms to solve the mathematical equations. Reliability, Availability, MTSF, Busy Period of repairmen and Cost-effectiveness of the system has been computed. The computed results have been demonstrated by tables and graphs. The repair time of both the units follows the negative exponential distribution with different parameters in a joint probability density function. The inspection times are assumed to follow the general distribution. Some particular cases of the system have also been derived from seeing the practical importance of the model.

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Availability, MTTF and cost analysis of a system having two units in series configuration with controller

Cited by 38 publications

References 13 publications

Operational availability analysis of generators in steam turbine power plants

Operational availability analysis of generators in steam turbine power plants

Comparison of Three Availability Systems with Warm Standby Components, Detection Delay, and General Repair Times

Probabilistic Assessment of Two-Unit Parallel System with Correlated Lifetime under Inspection Using Regenerative Point Technique

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