Performance Analysis and Maintenance Planning of Evaporation System in the Sugar Industry by Using Supplementary Variable Technique

Kumar, Ramesh; Kadyan, M. S.

doi:10.1142/s2424862218500045

Cited by 3 publications

(1 citation statement)

References 20 publications

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“…Pundir et al [27] developed a stochastic framework for parallel system of non-identical units having priority in repair disciplines. Kumar and Kadyan [28,29] proposed reliability models for performance evaluation of industrial system using supplementary variable technique. Kumar and Kumar [30] estimate various statistical properties of inverse Weibull distribution under random censoring.…”

Section: Introductionmentioning

confidence: 99%

Stochastic modeling and parameter estimation of turbogenerator unit of a thermal power plant under classical and Bayesian inferential framework

Kumar,

Chaudhary,

Kumar

et al. 2023

PLoS ONE

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The work reported in present study deals with the development of a novel stochastic model and estimation of parameters to assess reliability characteristics for a turbogenerator unit of thermal power plant under classical and Bayesian frameworks. Turbogenerator unit consists of five components namely turbine lubrication, turbine governing, generator oil system, generator gas system and generator excitation system. The concepts of cold standby redundancy and Weibull distributed random variables are used in development of stochastic model. The shape parameter for all the random variables is same while scale parameter is different. Regenerative point technique and semi-Markov approach are used for evaluation of reliability characteristics. Sufficient repair facility always remains available in plant as well as repair done by the repairman is considered perfect. As the life testing experiments are time consuming, so to highlight the importance of proposed model Monte Carlo simulation study is carried out. A comparative analysis is done between true, classical and Bayesian results of MTSF, availability and profit function.

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Section: Introductionmentioning

confidence: 99%

Stochastic modeling and parameter estimation of turbogenerator unit of a thermal power plant under classical and Bayesian inferential framework

Kumar,

Chaudhary,

Kumar

et al. 2023

PLoS ONE

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Improving Industrial Systems Reliability — An Application in Sugar Industry

Kumar

Kadyan

2019

J. Ind. Intg. Mgmt.

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To improve the reliability of the industrial systems, the main requirement is to identify the most expected failures and to minimize the effects of such failures. This can be achieved through availability evaluation of the systems of the industry. Here, the performance analysis of molasses (by-product of sugarcane) making system is carried out. The system consists of four subsystems, namely: Crystallizer, C-fore worker, C-after Worker and Melter. Functioning of these subsystems is in series and within subsystems have different working configurations. Equations associated with the system model are developed and solved to get the state probabilities by using supplementary variable technique. A particular case is also considered to show the availability and expected behavior of the molasses making system. Numerical results are obtained to explain the effect of subsystems working behavior.

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A Survey on Industrial Information Integration 2016–2019

Chen

2020

J. Ind. Intg. Mgmt.

101

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Industrial information integration engineering (IIIE) is a set of foundational concepts and techniques that facilitate the industrial information integration process. In recent years, many applications of the integration between Internet of Things (IoT) and IIIE have become available, including industrial Internet of Things (IIoT), cyber-physical systems, smart grids, and smart manufacturing. In order to investigate the latest achievements of studies on IIIE, this paper reviews literatures from 2016 to 2019 in IEEEXplore and Web of Science. Altogether, 970 papers related to IIIE are grouped into 27 research categories and reviewed. The results present up-to-date development of IIIE and provide directions for future research on IIIE.

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Performance Analysis and Maintenance Planning of Evaporation System in the Sugar Industry by Using Supplementary Variable Technique

Cited by 3 publications

References 20 publications

Stochastic modeling and parameter estimation of turbogenerator unit of a thermal power plant under classical and Bayesian inferential framework

Stochastic modeling and parameter estimation of turbogenerator unit of a thermal power plant under classical and Bayesian inferential framework

Improving Industrial Systems Reliability — An Application in Sugar Industry

A Survey on Industrial Information Integration 2016–2019

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