Failure Mode and Effect Analysis of Power Transformer Based on Cloud Model of Weight

Bian, Jıanpeng; Sun, Xiaoyun; Yang, Jing

doi:10.12928/telkomnika.v13i3.1804

Cited by 8 publications

(3 citation statements)

References 10 publications

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“…Still according to the author, the process FMEA (PFMEA) should start as soon as possible (after the concept of the project and the concept of the process). FMEA is a tool that is widely adopted in several companies and processes around the world, that has transposed the limits of the industrial barrier, with applications in service environments in general, offices, among others, as attested to the wide bibliographic production available (Bian et al, 2015;Miguel & Pedrosa, 2014;Pedrosa, 2014;Braaksma et al, 2013;Chen, 2013;Braaksma et al, 2012;Zied et al, 2011;Estorilio & Posso, 2010;Niu et al, 2010;Mahto & Kumar, 2008;Miguel & Segismundo, 2008;Jardine et al, 2006;QS-9000 (SAE J-1739), 2002.…”

Section: Fmea Conceptualizationmentioning

confidence: 99%

Application of Fmea for Improvement in the Manufacturing Process of Mobile Phones in a Factory of the Industrial Pole of Manaus

Batista¹,

Oliveira²,

Reis³

et al. 2019

IJQR

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The objective of this paper is to analyze the excess of failures in a mobile phone line production in order to make process improvements in a factory of the industrial pole of Manaus (PIM) by using FMEA methodology (Failure Mode, effect analysis). The excess of failures was an extremely influential aggravating factor by its customer, since the increase of the productive capacity in the company would be determined by the reduction of the percentage of failures or increase of YIELD from the conception of the product until the final phase of its life. Tracing the root causes is an important step in improving manufacturing processes for reducing failures. The impact of this is the reduction in industrial costs and an increase in the quality index of the product, ensuring customer satisfaction in having to produce its product in a factory that operates under condition the EMS (Electronic Manufacturing Services).

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Section: Fmea Conceptualizationmentioning

confidence: 99%

Application of Fmea for Improvement in the Manufacturing Process of Mobile Phones in a Factory of the Industrial Pole of Manaus

Batista¹,

Oliveira²,

Reis³

et al. 2019

IJQR

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show abstract

“…Since its introduction as a support tool for designers, FMEA has been extensively used in a wide range of industries, including aerospace, automotive, nuclear, electronics, chemical, mechanical and medical technologies industries [Puente et al 2002, Kwai-Sang et al 2009, Guerrero, Bradley 2013, Wenyan et al 2014, Yeh et al 2014, Jianpeng et al 2015. Moreover, FMEA is now used not only in manufacturing processes, but also in service and administrative processes [Gao et al 2014].…”

Section: Process Developmentmentioning

confidence: 99%

“…This procedure calls for teamwork and the team should consist of individuals from various professional fields. Parameters are assigned to the causes of failure revealed in the methodology and their respective failure modes [Gao 2014, Jianpeng 2015. The following parameters are used: − S=Severity: severity of the effect of the failure mode.…”

Section: Process Developmentmentioning

confidence: 99%

Untitled

2015

Logforum

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Background: Based on the concept of Industry 4.0, or the fourth industrial revolution, production processes are optimised by machines connected to each other via intelligent communication systems (machines keep track of the process and adjust their own settings accordingly). Our objective was to achieve more reliable processes with shorter production times and, consequently, lower production costs. Methods: We examined the possibility of incorporating a robot into the panel cutting subprocess of the unique furniture manufacturing process of a timber company. Results: Currently, using robots in industrial practice is economical only in the case of mass production. Using robots in unique manufacturing calls for higher resource need. In order to examine which part of the furniture manufacturing process a robot can be incorporated into and what problems can be solved with the robotic arm, the first step is to look for any potential failures in the process, as well as causes of failure, by performing a process model-based Failure Mode and Effects Analysis. Following the exploration of potential causes of failure, we examined the possibility of involving a robotic arm as a measure of improvement. Accordingly, the robotic arm was programmed in a computerised environment. The parameters of the robotic arm were set using the software Mitsubishi RV-2AJ Cosimir Educational. As a next step, process simulation was used to examine the total production time and cost of the process with using the robotic arm. Conclusions: The implementation of robots is a relevant option in unique production systems, as an intelligent system is capable of identifying problems even at the origin of failures and therefore it allows to avoid delay and increase the precision of operation.

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Reliability Modelling and Simulation for Assessment of Electric Arc Furnace Transformers

Singh

Patil

Tripathi

et al. 2020

2020 IEEE International Conference on Computing, Power and Communication Technologies (GUCON)

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Failure Mode and Effect Analysis of Power Transformer Based on Cloud Model of Weight

Abstract: As the key component of a power system, the power transformer directly impacts the reliability and safety of the system.

Cited by 8 publications

References 10 publications

Application of Fmea for Improvement in the Manufacturing Process of Mobile Phones in a Factory of the Industrial Pole of Manaus

Application of Fmea for Improvement in the Manufacturing Process of Mobile Phones in a Factory of the Industrial Pole of Manaus

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Reliability Modelling and Simulation for Assessment of Electric Arc Furnace Transformers

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