Markov modeling and reliability analysis of urea synthesis system of a fertilizer plant

Aggarwal, Anil Kr.; Kumar, Sanjay; Singh, Vikram; Garg, Tarun Kumar

doi:10.1007/s40092-014-0091-5

Cited by 24 publications

(15 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A.K. Aggarwal et al [4] explained about the performance modelling and availability analysis of the Urea Synthesis System in fertilizer production plant. From the research and analysis studies they are produced to the suitable maintenance techniques for increase the performance of the subsystem availability in the fertilizer production plant by using the Transition Diagram of the Urea Synthesis system, Markov model, First order Chapman -Kolmogorov differential equations and these equations are solved by the Range Kutta fourth order method.…”

Section: Literature Reviewmentioning

confidence: 99%

Reliability Availability Maintainability Analysis in Forming Industry

2019

IJEAT

View full text Add to dashboard Cite

The availability of the machine is the major consideration of all manufacturing industries. This activity leads to decide productivity of the industry. This research paper explained in detail about the availability analysis of the Timing Belt (V-Belt) manufacturing systems in the rubber industry. The performance of the belt manufacturing systems is analyzed by using the Markovian Birth-Death approach in all conditions of the systems like Raw, Reduced capacity and Repair (RRR). The transition diagram of the belt manufacturing process is drawn by the actual layout of the belt manufacturing process in the rubber industry and then developed the first-order differential and steady-state mathematical equation of the belt manufacturing process in the rubber industry. This approach is most widely used for sequence operation problems and this is the suitable mathematical model for the performance analysis of systems because this model predicts the future sequence of the model with respect to the current sequence model of the process industry. This approach can easily denote the repairable systems of all conditions (RRR). The main goal of this research analysis is to identify the effective subsystem of the belt manufacturing process in the rubber industry by the graphical representation of the changes in the availability and variations of the failure, repair rate of the subsystem of the best manufacturing process in the rubber industry. The variety of the failure rate and repair rate of the systems and the decision matrix of the subsystems is developed by the Markovian Birth-Death approach. The mathematical equations of all subsystems are solved by using MATLAB programming.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Reliability Availability Maintainability Analysis in Forming Industry

2019

IJEAT

View full text Add to dashboard Cite

show abstract

“…Garg et al (2010) proposed a new technique in the plywood industry to find the reliability model of a block-board manufacturing system. Aggarwal et al (2015) reported a mathematical model of the fertilizer plant of the urea synthesis system to find the mean time between failure and reliability analysis. Mangey and Manglik (2016) considered numerous aspects of failure and the reliability parameters of the dynamic repairable manufacturing system had been assessed.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Modeling and Availability Analysis of Leaf Spring Manufacturing Plant

Tyagi¹,

Agarwal²,

Yadav³

2021

JST

View full text Add to dashboard Cite

In this manuscript, we portray the composition and availability analysis of leaf spring. In wheeled vehicles for the suspension, an elementary form of spring i.e. leaf spring is usually utilized. Particularly in industrial vehicles, Leaf springs are one of the widely recognized suspension segments they are frequently used. A method is presented that tests the availability of each part involved in the system as well as the system as a whole. Besides, the analysis demonstrates an optimization model that helps to boost the availability of the leaf spring production plant system. The system is divided into different subsystems considering various phases in the production of leaf spring. The framework of this system consists of four components i.e. shearing, punching, heating, and assembling. Using the Markov birth-death strategy we established the mathematical model of the plant. The matrix method is applied to simplify the differential equations and C programming survey the fluctuation of availability related to time. The numerical results for the different framework are given which are effective to enhance the maintenance policy of the system.

show abstract

“…Kumar (2014) performed availability analysis of a thermal power plant boiler air circulation system using the Markov approach. Savsar (2015) proposed the availability analysis of a power plant by computer simulation and, further, Aggarwal et al (2015) developed the mathematical model for reliability analysis of a urea synthesis system of a fertilizer plant.…”

Section: Introductionmentioning

confidence: 99%

Stochastic modelling and availability analysis of a critical engineering system

Gupta¹

2019

IJQRM

View full text Add to dashboard Cite

Purpose The purpose of this paper is to present the technique for evaluating the performance of a condensate system of a coal-based thermal power plant situated in the northern part of India. The data which used for system availability evaluation are not precise and are uncertain and, further, collected from concerned power plant history sheets and from discussion through plant personnel. Design/methodology/approach In the proposed model, traditional Markov birth-death process using a probabilistic approach is used to analyze the performance of a complex repairable condensate system of power plant up to a desired degree of accuracy. This approach has been demonstrated by breaking the condensate system into six subsystems arranged in series with two feasible states, namely, working and failed, labeled in a transition diagram and modeled as a Markov process, using Chapman–Kolmogorov equations, which are used for development of a probabilistic stochastic model for availability analysis in a more effecting manner, considering some suitable assumptions. Findings This study of analysis of reliability and availability can help in increasing the plant production and performance. The analysis is done with the help of availability matrices, which are developed using different combinations of failures and repair rates of all subsystems. To achieve the goal of maximum power generation, it is required to run the various subsystem of the concerned system of plant, failure free for a long duration. Therefore, the present approach may be a more powerful analysis tool to access the performance of all subsystems of a condensate system in terms of availability level achieved in availability matrices. The results of present study are found to be highly beneficial to the plant management for making maintenance decisions. Originality/value The present paper suggests a suitable technique for stochastic modeling and availability evaluation of an industrial system using Markovian approach and drawing a transition diagram to represent the operational behavior of the system. The present methodology includes the advantage of the ability to model and develop a more complex industrial system and helps in improving the performance and handling the uncertainties and possibilities of an industrial system.

show abstract

Markov modeling and reliability analysis of urea synthesis system of a fertilizer plant

Cited by 24 publications

References 11 publications

Reliability Availability Maintainability Analysis in Forming Industry

Reliability Availability Maintainability Analysis in Forming Industry

Mathematical Modeling and Availability Analysis of Leaf Spring Manufacturing Plant

Stochastic modelling and availability analysis of a critical engineering system

Contact Info

Product

Resources

About