Performance analysis of evaporation system in sugar industry using RAMD analysis

Saini, Monika; Kumar, Ashish

doi:10.1007/s40430-019-1681-3

Cited by 34 publications

(11 citation statements)

References 30 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%

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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%

“…The steady-state probabilities and longtime availability of the system can be obtained by taking d dt = 0 as t → ∞, p i (t) = p i in Eqs. (12), (13), (14), (15), and (16), yielding…”

Section: Similarlymentioning

confidence: 99%

Operational availability analysis of generators in steam turbine power plants

2020

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“…With the help of initial conditions and by taking t → ∞ , in Eqs. (17)(18)(19) By substituting values of P 1 and P 2 derived from Eqs. (20-22) in Eq.…”

Section: Ramd Indices For Subsystem Smentioning

confidence: 99%

“…MTBF and MTTR of system calculated over period of 2 years and analyze RAMD indices. Recently, Dahiya et al [17] and Saini and Kumar [18] used fuzzy reliability and RAMD approaches to analyze performance of A-Pan crystallization system and evaporation system of sugar industry. In the existing literature, no work has been incorporated to analyze the performance of sewage treatment plants.…”

Section: Introductionmentioning

confidence: 99%

Reliability, maintainability and sensitivity analysis of physical processing unit of sewage treatment plant

et al. 2019

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India is facing radical change in perspective of inadequate water resources which can reduce by using treated water. In this direction, sewage treatment plants play a key role. Sewage treatment plant comprises three units namely physical processing, chemical processing and biological process. The physical process is the most important part and it has five component arranged in series configuration. It becomes necessary to perform this process with high efficiency and reliability, availability, maintainability, and dependability (RAMD) is the methodology to analyze the performance. The failure and repair rates of the subsystems has been considered exponentially distributed. Chapman-Kolmogorov differential equations are derived using Markovian birth-death process and several measures like mean time between failures, mean time to repair and dependability ratio are derived. The sensitivity analysis of reliability of the plant has also been performed. RAMD investigation shows that: availability of system is 0.952177, reliability of the system after 20 days is 0.2018 and after 60 days 0.00823, maintainability of the plant is 0.999948, dependability ratio is 0.9541 and raw sewage sump is the most sensitive subsystem of the plant with reliability 0.382893. This work is projected to support as an informative exertion in steering a RAMD analysis of physical processing unit and vary few work is available in literature related to the performance features of physical processing units of the sewage treatment plants. The main findings may be very useful for sewage treatment plants designers.

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“…Singh.,V.V and Singh, N. P [9] analyzed the performance of three-unit redundant system with switch and human failure. Saini and Kumar [10] discussed the performance evaluation of evaporation system in sugar industry using RAMD analysis. Malik and Tewari [11] presented performance modeling and maintenance priorities decision for water flow system of a coal based thermal power plant.…”

Section: Introductionmentioning

confidence: 99%

The Optimal System for Complex Series-Parallel Systems with Cold Standby Units: A Comparative Analysis Approach

Yusuf¹,

Musa²

2021

Practical Applications in Reliability Engineering

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The purpose of this research is to propose three reliability models (configurations) with standby units and to study the optimum configuration between configurations analytically and numerically. The chapter considered the need for 60 MW generators in three different configurations. Configuration 1 has four 15 MW primary units, two 15 MW cold standby units and one 30 MW cold standby unit; Configuration 2 has three 20 MW primary units, three 20 cold standby units; Configuration 3 has two 30 MW primary units and three 30 MW cold standby units. Some reliability features of series–parallel systems under minor and complete failure were studied and contrasted by the current. Failure and repair time of all units is assumed to be exponentially distributed. Explanatory expressions for system characteristics such as system availability, mean time to failure (MTTF), profit function and cost benefits for all configurations have been obtained and validated by performing numerical experiments. Analysis of the effect of different system parameters on the function of profit and availability has been carried out. Analytical comparisons presented in terms of availability, mean time to failure, profit function and cost benefits have shown that configuration 3 is the optimal configuration. This is supported by numerical examples in contrast to some studies where the optimal configuration of the system is not uniform as it depends on some system parameters. Graphs and sensitivity analysis presented reveal the analytical results and accomplish that Configuration 3 is the optimal in terms of design, reliability physiognomies such as availability of the system, mean time to failure, profit and cost benefit. The study is beneficial to engineers, system designers, reliability personnel, maintenance managers, etc.

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Performance analysis of evaporation system in sugar industry using RAMD analysis

Cited by 34 publications

References 30 publications

Operational availability analysis of generators in steam turbine power plants

Operational availability analysis of generators in steam turbine power plants

Reliability, maintainability and sensitivity analysis of physical processing unit of sewage treatment plant

The Optimal System for Complex Series-Parallel Systems with Cold Standby Units: A Comparative Analysis Approach

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