Reliability Evaluation for Manufacturing System Based on Dynamic Adaptive Fuzzy Reasoning Petri Net

Wang, Lixiang; Dai, Wei; Ai, Jun; Duan, Weiwei; Zhao, Yu

doi:10.1109/access.2020.3022947

Cited by 11 publications

(5 citation statements)

References 43 publications

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“…Li et al [23] proposed a fuzzy multi-criteria modelling used in service-oriented manufacturing for the problem of fuzzy scheduling. Similarly, Wang et al [24] used a dynamic adaptive fuzzy system to evaluate the reliability of manufacturing system with multiple production lines.…”

Section: Related Workmentioning

confidence: 99%

A feedback-based print quality improving strategy for FDM 3D printing: an optimal design approach

Tamir

Xiong

Fang

et al. 2022

Int J Adv Manuf Technol

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Fused deposition modelling (FDM) 3D printing, as a supporting technology in social manufacturing and cloud manufacturing, is a rapidly growing technology in the era of industry 4.0. It produces objects with the layer-by-layer material accumulation technique. However, qualitative uncertainties are the common challenges yet. In order to assure print quality, studying the error causing parameters and minimizing their effects is important. This paper presents a feedback-based error compensation strategy, which integrates fuzzy inference system and grey wolf optimization algorithm. The objectives are twofold. First, the possible errors in FDM 3D printing are discussed in detail and optimal error causing parameters are obtained in percentage. This is used to understand the effects of the printing errors in every phase of the 3D printing process. From the nine optimization configuration trials used, Config-6 that has 100 number of iterations and 60 wolves is

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Section: Related Workmentioning

confidence: 99%

A feedback-based print quality improving strategy for FDM 3D printing: an optimal design approach

Tamir

Xiong

Fang

et al. 2022

Int J Adv Manuf Technol

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“…It is worth mentioning here that fuzzy logic controllers for autonomous mobile robot navigation are gaining popularity in the recent years and now play an important role in shaping academic research [56]. A DAFRPN concept is also used [57] to evaluate reliability of a manufacturing system with multiple production lines.…”

Section: Recent Applications Of Petri Netsmentioning

confidence: 99%

Challenges in Application of Petri Nets in Manufacturing Systems

Grobelna

Karatkevich

2021

Electronics

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Petri nets are a useful mathematical formalism for specification of manufacturing systems, supported by various analysis and verification methods. The progress made in automating control systems and the widespread use of Industry 4.0 pose a number of challenges to their application, starting from the education at university level and ending with modelling of real case studies. The paper aims to present and analyse the most relevant challenges and opportunities related to the use of Petri nets as a modelling technique of manufacturing systems. The review of the literature is primarily based on the years 2019–2020 to reflect the current state of the art. The newest approaches to deadlock prevention and recovering, but also other important analysis problems and difficulties in modelling real industrial processes are discussed. Trends for the future are also identified.

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“…In these studies, scholars used a reliability block diagram, fault trees, and the Petri net model to describe the fault logic relationship between the system and its component units, and they proposed the reliability-evaluation method of complex systems through the analysis of the probability of underlying events and the importance of components. For example, Wang et al proposed a reliability-evaluation method for manufacturing systems based on dynamic adaptive fuzzy-reasoning Petri nets, considering the multi-state performance of each machine of the system [18]. He et al proposed a task reliability-evaluation method for manufacturing systems based on extended stochastic flow nets, focusing on the machine fuzzy multi-state characteristics of the system affected by human factor division and working conditions [19].…”

Section: Introductionmentioning

confidence: 99%

A Statistical Evaluation Method Based on Fuzzy Failure Data for Multi-State Equipment Reliability

Xu,

Yan,

Pei

et al. 2024

Mathematics

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For complex equipment, it is easy to over-evaluate the impact of failure on production by estimating the reliability level only through failure probability. To remedy this problem, this paper proposes a statistical evaluation method based on fuzzy failure data considering the multi-state characteristics of equipment failures. In this method, the new reliability-evaluation scheme is firstly presented based on the traditional statistical analysis method using the Weibull distribution function. For this scheme, the failure-grade index is defined, and a fuzzy-evaluation method is also proposed by comprehensively considering failure severity, failure maintenance, time, and cost; this is then combined with the time between failures to characterize the failure state. Based on the fuzzy failure data, an improved adaptive-failure small-sample-expansion method is proposed based on the classical bootstrap method and the deviation judgment between distributions of the original and newborn samples. Finally, a novel reliability-evaluation model, related to the failure grade and its membership degree, is established to quantify the reliability level of equipment more realistically. Example cases for three methods of the scheme (the failure-grade fuzzy-evaluation method, the sample-expansion method, and the reliability-evaluation modeling method) are presented, respectively, to validate the effectiveness and significance of the proposed reliability-evaluation technology.

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Reliability Evaluation for Manufacturing System Based on Dynamic Adaptive Fuzzy Reasoning Petri Net

Cited by 11 publications

References 43 publications

A feedback-based print quality improving strategy for FDM 3D printing: an optimal design approach

A feedback-based print quality improving strategy for FDM 3D printing: an optimal design approach

Challenges in Application of Petri Nets in Manufacturing Systems

A Statistical Evaluation Method Based on Fuzzy Failure Data for Multi-State Equipment Reliability

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