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

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 167276-167287
Author(s):  
Lixiang Wang ◽  
Wei Dai ◽  
Jun Ai ◽  
Weiwei Duan ◽  
Yu Zhao
Keyword(s):  
Petri Net ◽  
Manufacturing System ◽  
Fuzzy Reasoning ◽  
Reliability Evaluation ◽  
Adaptive Fuzzy

scholarly journals Energy Saving Operation of Manufacturing System Based on Dynamic Adaptive Fuzzy Reasoning Petri Net

Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2216 ◽  
Author(s):  
Junfeng Wang ◽  
Zicheng Fei ◽  
Qing Chang ◽  
Shiqi Li
Keyword(s):  
Energy Saving ◽  
Real Time ◽  
Petri Net ◽  
Manufacturing System ◽  
Fuzzy Reasoning ◽  
System Level ◽  
Level Energy ◽  
Efficient Operation ◽  
Adaptive Fuzzy ◽  
Internet Of Things Technology

The energy efficient operation of a manufacturing system is important for sustainable development of industry. Apart from the device and process level, energy saving methods at the system level has attracted increasing attention with the rapid growth of the industrial Internet of things technology, which makes it possible to sense and collect real-time data from the production line and provide more opportunities for online control for energy saving purposes. In this paper, a dynamic adaptive fuzzy reasoning Petri net is proposed to decide the machine energy saving state considering the production information of a discrete stochastic manufacturing system. Fuzzy knowledge for energy saving operations of a machine is represented in weighted fuzzy production rules with certain values. The rules describe uncertain, imprecise, and ambiguous knowledge of machine state decisions. This makes an energy saving sleep decision in advance when a machine has the inclination of starvation or blockage, which is based on the real-time production rates and level of connected buffers. A dynamic adaptive fuzzy reasoning Petri net is formally defined to implement the reasoning process of the machine state decision. A manufacturing system case is used to demonstrate the application of our method and the results indicate its effectiveness for energy saving operation purposes.

Novel intelligent adjustment height method of Shearer drum based on adaptive fuzzy reasoning Petri net

2021 ◽  
pp. 1-15
Author(s):  
Weibing Wang ◽  
Shenquan Wang ◽  
Shuanfeng Zhao ◽  
Zhengxiong Lu ◽  
Haitao He
Keyword(s):  
Petri Net ◽  
Fuzzy Inference ◽  
Regression Tree ◽  
Fuzzy Reasoning ◽  
Classification And Regression Tree ◽  
Gradient Boosting ◽  
Adaptive Fuzzy ◽  
Fuzzy Petri Net ◽  
Non Linear ◽  
Height Model

The complexity of the coalface environment determines the non-linear and fuzzy characteristics of the drum adjustment height. To overcome this challenge, this study proposes an adaptive fuzzy reasoning Petri net (AFRPN) model based on fuzzy reasoning and fuzzy Petri net (FPN) and then applies it to the intelligent adjustment height of the shearer drum. This study constructs adaptive and reasoning algorithms. The former was used to optimize the AFRPN parameters, and the latter made the AFRPN model run. AFRPN could represent rules that had non-linear and attribute mapping relationships and could adjust the parameters adaptively to improve the accuracy of the output. Subsequently, the drum adjustment height model was established and compared to three models neural network (NN), classification and regression tree(CART) and gradient boosting decision tree (GBDT). The experimental results showed that this method is superior to other drum adjustment height methods and that AFRPN can achieve intelligent adjustment of the shearer drum height by constructing fuzzy inference rules.

An EDM Multi-Agent Collaborative Manufacturing System Based on Petri Net

2012 ◽  
Vol 457-458 ◽  
pp. 921-926
Author(s):  
Jin Zhi Zhao ◽  
Yuan Tao Liu ◽  
Hui Ying Zhao
Keyword(s):  
Petri Net ◽  
Manufacturing System ◽  
Intelligent Manufacturing ◽  
Agent Technology ◽  
Manufacturing Processes ◽  
Intelligent Manufacturing System ◽  
Collaborative Manufacturing ◽  
Model Based ◽  
Support Organizations ◽  
Multi Agent

A framework for building EDM collaborative manufacturing system using multi-agent technology to support organizations characterized by physically distributed, enterprise-wide, heterogeneous intelligent manufacturing system over Internet is proposed. According to the characteristics of agile EDM collaborative manufacturing system(AEDMCMS), the agent technology is combined with Petri net in order to analyze the model. Based on the basic Petri Net, the definition is extended and the Agent-oriented Petri net (APN) is proposed. AEDMCM is turned into the model of Petri Net which is suitable to the analysis and optimization of manufacturing processes.

A Novel Approach to Evaluate the Stability of Production Manufacturing System Based on Petri-Net and Analytic Hierarchy Process

2012 ◽  
Vol 605-607 ◽  
pp. 336-340
Author(s):  
Hou Xing You
Keyword(s):  
Analytic Hierarchy Process ◽  
Petri Net ◽  
Manufacturing System ◽  
New Method ◽  
System Stability ◽  
Production Factor ◽  
Analytic Hierarchy ◽  
The Stability ◽  
Whole Life Cycle ◽  
Hierarchy Process

In the whole life cycle of production process, the stability of production manufacturing system is an important production factor. However, there were a few researches about the system stability in the past years. In this paper, for the stability of production manufacturing system, a new method is proposed based on Petri-net and analytic hierarchy process. In the proposed method, the reachability of manufacturing system is judged by using Petri-net, and the system stability is calculated by the successful probability of the key production nodes. Finally, evaluation steps of the new method are given, and the new evaluation method is applied in case study.

An EDM Multi-Agent Collaborative Manufacturing System Based on Petri Net

2012 ◽  
Vol 457-458 ◽  
pp. 921-926
Author(s):  
Jin Zhi Zhao ◽  
Yuan Tao Liu ◽  
Hui Ying Zhao
Keyword(s):  
Petri Net ◽  
Manufacturing System ◽  
Collaborative Manufacturing ◽  
Multi Agent
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