Transient analysis of quality performance in two-stage manufacturing systems with remote quality information feedback

Liu, Shihong; Du, Shichang; Xi, Lifeng

doi:10.1016/j.cie.2018.02.009

Cited by 10 publications

(3 citation statements)

References 44 publications

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“…The Levy flight is evaluated by (29) in which β is a constant factor and r 1 and r 2 are the arbitrary numbers that are lying among [01]. Further δ is computed using (30) in which Γ x = x − 1 .…”

Section: Conventional Damentioning

confidence: 99%

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Hybrid DA‐PSO approach for optimal location and parameter settings for TCSC controller in power system

Kulkarni¹,

Ghawghawe

2020

IET Generation, Transmission & Distribution

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Section: Conventional Damentioning

confidence: 99%

“…However, problems arise in the TCSC controllers, while determining the optimal locations and the parameter sets. Hence, steps are taken to overcome such issues in the proposed scheme [28,29].…”

Section: Introductionmentioning

confidence: 99%

Hybrid DA‐PSO approach for optimal location and parameter settings for TCSC controller in power system

Kulkarni¹,

Ghawghawe

2020

IET Generation, Transmission & Distribution

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“…So, development and application of product quality analysis system are a fundamental guarantee for the failure diagnosis. Based on Markov model of quality analysis system, a Markov model in a two-stage manufacturing system with remote quality information feedback was developed [1]. A Markov model to analyze quality propagation in multi-stage manufacturing systems was also developed [2,3].…”

Section: Introductionmentioning

confidence: 99%

A Data-Driven Condition Monitoring of Product Quality Analysis System Based on RS and AHP

et al. 2020

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Mechanical and electrical products have complex structure and intelligent control system, their reliability plays an important role in the normal operation of security facilities. However, most manufacturers usually pay more attention to the product designing and manufacturing quality, with little interest in the intelligent fault diagnosis. The objective of this study is to develop the products quality intelligent analysis and management system based on Rough Set (RS) and Analytic Hierarchy Process (AHP). Firstly, this paper reviews the principle of hardware, software design, monitoring platform and quality analysis system to reduce the number of information transfer with computer technology. Secondly, the fault types and feature extractions of different faults of elevators are presented and simplified by using RS theory. Then, the objective weight of level index model can be obtained by AHP method, and the comprehensive analysis weight of each index is obtained by using the value of subjective and objective weight coefficients with the golden ratio. Finally, a comprehensive decision weight of the major index for quality control analysis system of many vertical elevators is presented. The results show that the data-driven condition monitoring and quality analysis system is a kind of important means to prevent a disaster of complex mechanical and electrical products.

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Performance Evaluation of Availability of Complex Repairable System and Selection of Optimal Performance Parameters Using Particle Swarm Optimization

Kumar

Punia

2021

Lecture Notes on Multidisciplinary Industrial Engineering

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Transient analysis of quality performance in two-stage manufacturing systems with remote quality information feedback

Cited by 10 publications

References 44 publications

Hybrid DA‐PSO approach for optimal location and parameter settings for TCSC controller in power system

Hybrid DA‐PSO approach for optimal location and parameter settings for TCSC controller in power system

A Data-Driven Condition Monitoring of Product Quality Analysis System Based on RS and AHP

Performance Evaluation of Availability of Complex Repairable System and Selection of Optimal Performance Parameters Using Particle Swarm Optimization

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