Dynamic modeling and simulation of power transformer maintenance costs

Ristić, Olga; Iričanin, Bratislav; Mijailović, Vladica

doi:10.2298/sjee1602285r

Cited by 3 publications

(4 citation statements)

References 7 publications

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“…They made an application that included medical equipment such as baby incubators, infusion pumps, and computed tomography scanners. Ristic et al (2016) developed a dynamic maintenance cost model for the components of a power transformer to save on maintenance costs with a small initial investment. Bao et al (2017) proposed an approach based on the FMEA method and a modified AHP technique to assess occupational disease risk in the Chinese mining industry.…”

Section: Literature Reviewmentioning

confidence: 99%

New Generation FMEA Method in Automotive Industry: An Application

KÖK

Yıldız

2023

Journal of Turkish Operations Management

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It is aimed to gain study substantiality by making an application for risk analysis study in the automotive industry. To bring to the literature the current point of risk analyzes used in FMEA methods applied in the automotive industry. At the same time, it is aimed to improve a problem experienced in the process of an operating in the automotive supplier industry with the risk analysis method. Failure Mode and Effects Analysis (FMEA) from risk analysis which is strong method to identifying and managing of the risks of potential failures occurring from product, process, service and system. Three methods were used in FMEA risk analysis in the study. AIAG FMEA Handbook fourth edition 2008, VDA-4 standard and new generation AIAG&VDA FMEA handbook, 2019. In this study, a Process FMEA study was prepared for the surface coating preparation process used by an automotive supplier industry. According to the results of the risk analysis, corrective actions were defined and prepared after the P-FMEA study. Afterwards, the necessary investments were made by the company management and the risks were minimized. With this investment, an innovative and technological application was integrated by ensuring the transition of the process from the human factor to automation. In addition, differences and current information about FMEA evaluation methods used in the automotive industry have been brought to the literature

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Section: Literature Reviewmentioning

confidence: 99%

New Generation FMEA Method in Automotive Industry: An Application

KÖK

Yıldız

2023

Journal of Turkish Operations Management

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“…The next part that follows presents diagrams which display dependency between electrical and mechanical values of direct and inverse sequence, as to enable comparison of these values in the machine and in order to determine their influence on machine performance. The machine transient state is determined through addition of direct and inverse components of electrical values (voltage and current) according to equation (6) for matrix transformation, equation (23) for electromotor force and equation (24) Other parameters can be seen from the scheme.…”

Section: Tablementioning

confidence: 99%

The mathematical model for analysis and evaluation of the transient process of the three-phase asynchronous machine performance

Marković¹,

Živanić

Lazarevic

et al. 2018

Serb J Electr Eng

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This paper describes an adopted method which could be used in transient process modelling of three-phase asynchronous machines on the computer. Converter asynchronous electric machine feeding requires a detailed research of the transient process influence and the dynamic states of energy exchange between the electrical circuit feeding and the machine itself. A mathematical model has been formulated in order to solve the transient process of the three-phase asynchronous electric machine referring to the two asynchronous machines and containing two matrix models defined by Park's q d  components. In the system of symmetrical components the state and the operation of the first machine was defined based on relations and operation conditions of a direct sequence system and of other machines based on relations and operation conditions of an inverse sequence system. The new method has been derived from the existing psbpwm MATLAB package. The new model simulates the state and operation of a single machine with identical parameters through the state and operation of the two machines with identical parameters: the first in a direct sequence system and the others in an inverse sequence system. Operation analysis of the three-phase induction machine is limited to a transient process occurring in the right angled shape of voltage feeding. The new presented model can, with certain limitations, be applied not only to a three-phase asynchro-nous machine model but to other alternating current machines which have a stator and a rotor. The experiment has been performed following an example of asymmetrical feeding followed by inverse component phenomena of electrical and mechanical values in the machine.

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“…It is widely applied in various areas such as politics, engineering, manufacturing, environmental, social and macro-economic issues (Sterman, 2000; Smith and Ackere, 2002; Khan et al , 2009; Khorshidi et al , 2015). Many researchers studied the application of SD in the maintenance area (Coyle and Gardiner, 1991; Linard, 2000; Thun, 2004; Xiaohu et al , 2007; Shahanaghi and Yazdian, 2009; Fan et al , 2010; Handani et al , 2011; Basirat et al , 2013; Mallick et al , 2014; Khorshidi et al , 2015; Ristić et al , 2016; Esmaeili, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Handani et al (2011) used an SD simulation to identify potential failures and prevent functional failures of maintainable items of ship machinery components. Ristić et al (2016) developed a dynamic maintenance costs model for a power transformer's components to save maintenance costs with a small initial investment.…”

Section: Introductionmentioning

confidence: 99%

Investigating the causal relationships among failure modes, effects and causes: a system dynamics approach

Shaker¹,

Shahin²,

Jahanyan³

2021

IJQRM

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PurposeThis paper aims to develop a system dynamics (SD) model to identify causal relationships among the elements of failure modes and effects analysis (FMEA), i.e. failure modes, effects and causes.Design/methodology/approachA causal loop diagram (CLD) has been developed based on the results obtained from interdependencies and correlations analysis among the FMEA elements through applying the integrated approach of FMEA-quality function deployment (QFD) developed by Shaker et al. (2019). The proposed model was examined in a steel manufacturing company to identify and model the causes and effects relationships among failure modes, effects and causes of a roller-transmission system.FindingsFindings indicated interactions among the most significant failure modes, effects and causes. Moreover, corrective actions defined to eliminate or relieve critical failure causes. Consequently, production costs decreased, and the production rate increased due to eliminated/decreased failure modes.Practical implicationsThe application of CLD illustrates causal relationships among FMEA elements in a more effective way and results in a more precise recognition of the root causes of the potential failure modes and their easy elimination/decrease. Therefore, applying the proposed approach leads to a better analysis of the interactions among FMEA elements, decreased system's failure rate and increased system availability.Originality/valueThe literature review indicated a few studies on the application of SD methodology in the maintenance area, and no study was performed on the causal interactions among FMEA elements through an FMEA-QFD based SD approach. Although the interactions of these elements are significant and helpful in risks ranking, researchers fail to investigate them sufficiently.

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Dynamic modeling and simulation of power transformer maintenance costs

Cited by 3 publications

References 7 publications

New Generation FMEA Method in Automotive Industry: An Application

New Generation FMEA Method in Automotive Industry: An Application

The mathematical model for analysis and evaluation of the transient process of the three-phase asynchronous machine performance

Investigating the causal relationships among failure modes, effects and causes: a system dynamics approach

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