Soft computing for availability optimization of a crushing system of sugar plant using PSO

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anil Kr. Aggarwal ◽  
Amit Kumar
Keyword(s):  
Mathematical Modeling ◽  
Differential Equations ◽  
Pso Algorithm ◽  
Repair Rate ◽  
System Availability ◽  
Content Type ◽  
First Order ◽  
Availability Analysis ◽  
Sugar Plant ◽  
Optimal Values

PurposeIn this paper, the objective is to perform mathematical modeling to optimize the steady-state availability of a multi-state repairable crushing system of a sugar plant using the evolutionary algorithm of Particle Swarm Optimization (PSO). The system availability is optimized by evaluating the optimal values of failure and repair rate parameters concerned with the subsystem of the system.Design/methodology/approachMathematical modeling of the multi-state repairable system is performed to develop the first-order differential equations based on the exponential distribution of the failure and repair rates. These differential equations are recursively solved to obtain the availability under normalizing conditions. The availability of the system is optimized by using the PSO algorithm. The results obtained by PSO are validated by using the Genetic Algorithm (GA).FindingsThe availability analysis of the system concludes that the cane preparation (F1) is critical of the crushing system and the optimized availability of the system using PSO is achieved as high as 87.12%.Originality/valueA crushing system of the sugar plant is evaluated as it is the main system of the sugar plant. The maintenance data associated with failure and repair rate parameters were analyzed with the help of maintenance records/logbook and by conducting personal meetings with maintenance executives of the plant. The results obtained in the paper helped them to plan maintenance strategies accordingly to get optimal system availability.

Behavioral study and availability optimization of a multi-state repairable system with hot redundancy

2019 ◽  
Vol 36 (3) ◽  
pp. 314-330
Author(s):  
Amit Kumar ◽  
Vinod Kumar ◽  
Vikas Modgil
Keyword(s):  
Differential Equations ◽  
Stochastic Model ◽  
Probabilistic Approach ◽  
Pso Algorithm ◽  
Repairable System ◽  
Behavioral Study ◽  
Repair Rate ◽  
Content Type ◽  
System A ◽  
Main Component

PurposeThe purpose of this paper is to identify the criticality of various sub-systems through the behavioral study of a multi-state repairable system with hot redundancy. The availability of the system is optimized to evaluate the optimum combinations of failure and repair rate parameters for various sub-systems.Design/methodology/approachThe behavioral study of the system is conducted through the stochastic model under probabilistic approach, i.e., Markov process. The first-order differential equations associated with the stochastic model are derived with the use of mnemonic rule assuming that the failure and repair rate parameters of all the sub-systems are constant and exponentially distributed. These differential equations are further solved recursively using the normalizing condition to obtain the long-run availability of the system. A particle swarm optimization (PSO) algorithm for evaluating the optimum availability of the system and supporting computational results are presented.FindingsThe maintenance priorities for various sub-systems can easily be set up, as it is clearly identified in the behavioral analysis that the sub-system (A) is the most critical component which highly influences the system availability as compared to other sub-systems. The PSO technique modifies input failure and repair rate parameters for each sub-system and evaluates the optimum availability of the system.Originality/valueA bottom case manufacturing system is under the evaluation, which is the main component of front shock absorber in two-wheelers. The input failure and repair rate parameters were parameterized from the information provided by the plant personnel. The finding of the paper provides the various availability measures and shows the grate congruence with the system behavior.

Performance modeling and optimization for complex repairable system of paint manufacturing unit using a hybrid BFO-PSO algorithm

2019 ◽  
Vol 36 (7) ◽  
pp. 1212-1228
Author(s):  
Amit Kumar ◽  
Vinod Kumar ◽  
Vikas Modgil
Keyword(s):  
Particle Swarm Optimization ◽  
Evolutionary Algorithm ◽  
Optimization Model ◽  
Pso Algorithm ◽  
Performance Model ◽  
Repairable System ◽  
Repair Rate ◽  
Swarm Optimization ◽  
System Availability ◽  
Content Type

Purpose The purpose of this paper is to optimize the performance for complex repairable system of paint manufacturing unit using a new hybrid bacterial foraging and particle swarm optimization (BFO-PSO) evolutionary algorithm. For this, a performance model is developed with an objective to analyze the system availability. Design/methodology/approach In this paper, a Markov process-based performance model is put forward for system availability estimation. The differential equations associated with the performance model are developed assuming that the failure and repair rate parameters of each sub-system are constant and follow the exponential distribution. The long-run availability expression for the system has been derived using normalizing condition. This mathematical framework is utilized for developing an optimization model in MATLAB 15 and solved through BFO-PSO and basic particle swarm optimization (PSO) evolutionary algorithms coded in the light of applicability. In this analysis, the optimal input parameters are determined for better system performance. Findings In the present study, the sensitivity analysis for various sub-systems is carried out in a more consistent manner in terms of the effect on system availability. The optimal failure and repair rate parameters are obtained by solving the performance optimization model through the proposed hybrid BFO-PSO algorithm and hence improved system availability. Further, the results obtained through the proposed evolutionary algorithm are compared with the PSO findings in order to verify the solution. It can be clearly observed from the obtained results that the hybrid BFO-PSO algorithm modifies the solution more precisely and consistently. Research limitations/implications There is no limitation for implementation of proposed methodology in complex systems, and it can, therefore, be used to analyze the behavior of the other repairable systems in higher sensitivity zone. Originality/value The performance model of the paint manufacturing system is formulated by utilizing the available uncertain data of the used manufacturing unit. Using these data information, which affects the performance of the system are parameterized in the input failure and repair rate parameters for each sub-system. Further, these parameters are varied to find the sensitivity of a sub-system for system availability among the various sub-systems in order to predict the repair priorities for different sub-systems. The findings of the present study show their correspondence with the system experience and highlight the various availability measures for the system analyst in maintenance planning.

Numerical model of the steam pipeline with thermal insulation

2019 ◽  
Vol 30 (5) ◽  
pp. 2237-2253 ◽  
Author(s):  
Karol Kaczmarski
Keyword(s):  
Temperature Distribution ◽  
Numerical Model ◽  
Differential Equations ◽  
Ordinary Differential Equations ◽  
Outer Surface ◽  
Transient Temperature ◽  
Content Type ◽  
First Order ◽  
Steam Pipeline ◽  
Pipeline Wall

Purpose The purpose of this paper is to develop a numerical model of a steam pipeline connecting a boiler with a turbine, with an insulated outer surface. The temperature distribution inside the pipeline wall was compared when was perfectly insulated and when used real insulation on the outside surface. Design/methodology/approach The transient temperature, pressure and velocity of steam in the pipeline were determined using a proposed numerical model with distributed parameters. To calculate the transient temperature of the steam and pipeline wall the finite volume method was used. The energy conservation equations were written for all control area around all the nodes. The heat balance equations are a system of first-order ordinary differential equations with respect to time. The Runge–Kutta method of the fourth-order was used to solve the system of ordinary differential equations of the first-order. Findings The temperature distribution in the pipeline wall and the temperature distribution in wall insulation were presented. Also, the temperature of the steam and pipeline wall as a function of insulation thickness was calculated. Based on the results obtained by the proposed numerical model, thermal stresses at the inner and outer surface of the component were determined. To assess the accuracy of the proposed model, the results were compared to the analytical solution for the steady state. Originality/value The paper presents the results obtained from calculations using a numerical model of the steam pipeline with the actual insulation on the outer surface.

Control and synchronization of a hyperchaotic finance system via single controller scheme

2015 ◽  
Vol 8 (4) ◽  
pp. 330-344 ◽  
Author(s):  
Ping He ◽  
Yangmin Li
Keyword(s):  
Differential Equations ◽  
Linear Differential Equations ◽  
Content Type ◽  
Order Linear ◽  
Finance System ◽  
First Order ◽  
Single Controller ◽  
Linear Differential ◽  
The Stability ◽  
Control And Synchronization

Purpose – The purpose of this paper is to study the control and synchronization of the hyperchaotic finance system. Design/methodology/approach – A single controller scheme is introduced. The Routh-Hurwitz criteria and the structure of solution of first-order linear differential equations are adopted in analysis of control and synchronization. Findings – Two single controllers are designed and added to the new hyperchaotic finance system. The stability of the hyperchaotic finance system at its zero equilibrium point is guaranteed by applying the appropriate single controller signal based on Routh-Hurwitz criteria. Another effective controller is also designed for the global asymptotic synchronization on the hyperchaotic finance system based on the structure of solution of first-order linear differential equations. Numerical simulations are demonstrated to verify the effectiveness of the proposed single controller scheme. Originality/value – The introduced approach is interesting for control and synchronization the hyperchaotic finance system.

Analysis, design and experimentation of high-pass negative group delay lumped circuit

Circuit World ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hongyu Du ◽  
Rong Yang ◽  
Taochen Gu ◽  
Xiang Zhou ◽  
Samar Yazdani ◽  
...  
Keyword(s):  
Printed Circuit Boards ◽  
Analytical Investigation ◽  
Experimental Investigations ◽  
Circuit Boards ◽  
Content Type ◽  
First Order ◽  
Optimal Values ◽  
Analysis Design ◽  
High Pass ◽  
Good Agreement

Purpose The purpose of this paper is to introduce an innovative theoretical, numerical and experimental investigations on the HP NGD function. The identified HP NGD topology under study is constituted by first order passive RC-network. The simulations and measurements confirm in very good agreement the HP NGD behaviors of the tested circuits. NGD responses with optimal values of about -1 ns and cut-off frequencies of about 20 MHz are obtained. Design/methodology/approach The identified HP NGD topology understudy is constituted by a first-order passive Resistor-capacitor RC network. An innovative approach to HP NGD analysis is developed. The analytical investigation from the voltage transfer function showing the meaning of HP properties is established. Findings This paper introduces innovative theoretical, numerical and experimental investigations on the HP NGD function. Originality/value The NGD characterization as a function of the resistance and capacitance parameters is investigated. The feasibility of the HP NGD function is verified with proofs of concept constituted of lumped surface mounted components on printed circuit boards. The simulations and measurements confirm in very good agreement the HP NGD behaviors of the tested circuits. NGD responses with optimal values of about −1 ns and cut-off frequencies of about 20 MHz are obtained.

A numerical study of the axisymmetric rotational stagnation point flow impinging radially a permeable stretching/shrinking surface in a nanofluid

2017 ◽  
Vol 27 (11) ◽  
pp. 2415-2432 ◽  
Author(s):  
Natalia C. Roşca ◽  
Ioan Pop
Keyword(s):  
Differential Equations ◽  
Stagnation Point ◽  
Design Methodology ◽  
Numerical Study ◽  
Stagnation Point Flow ◽  
Shrinking Sheet ◽  
Content Type ◽  
First Order ◽  
Flow And Heat Transfer ◽  
Shrinking Surface

Purpose The purpose of this study is to analyze numerically the steady axisymmetric rotational stagnation point flow impinging on a radially permeable stretching/shrinking sheet in a nanofluid. Design/methodology/approach Similarity transformation is used to convert the system of partial differential equations into a system of ordinary (similarity) differential equations. This system is then reduced to a system of first-order differential equations and solved numerically using the bvp4c function in MATLAB software. Findings Dual solutions exist when the surface is stretched, as well as when the surface is shrunk. For these solutions, a stability analysis is carried out revealing that the first solution (upper branch) is stable and physically realizable, while the second solution (lower branch) is unstable and therefore not physically realizable. Originality/value The present results are original and new for the study of fluid flow and heat transfer over a stretching/shrinking surface, as they successfully extend the problem considered by Weidman (2016) to the case of nanofluids.

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