Fuzzy Petri nets and industrial applications: a review

Zhou, Kailiang; Zain, Azlan Mohd

doi:10.1007/s10462-015-9451-9

Cited by 73 publications

(38 citation statements)

References 110 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are some kinds of Petri Nets endowed with fuzzy features. A relevant review of fuzzy Petri nets and industrial applications can be found in [8].…”

Section: B High Level Petri Netsmentioning

confidence: 99%

“…The consequence of rule (8) means that if only this rule is activated, the execution of the transition leads to a token in the place p 3 and no token in the place p 4 . Unlike rule (8), rule (9) leads to a token in the place p 4 and no token in the place p 3 . This manner allows the selection to continue the execution from the place p 3 , the place p 4 or from the both of them.…”

Section: B High Level Petri Netsmentioning

confidence: 99%

“…According to [8] the reasoning process by using fuzzy PN can be implemented by algorithms involving reachability trees, algebra forms and high level PNs. The current approach concerns the modeling of dynamic control systems implemented by reactive programs.…”

Section: B High Level Petri Netsmentioning

confidence: 99%

See 2 more Smart Citations

Method for Approaching the Cyber-Physical Systems

Leţia

Kilyen

2016

Annals of Computer Science and Information Systems

View full text Add to dashboard Cite

Abstract-The main topics of the Cyber-Physical Systems (CPSs) cover the specification, modeling, control, design, verification and testing. The CPSs implementation consists of reactive programs conceived using models that are capable to sustain the mentioned activities. Component diagrams (introduced by Unified Modeling Language) are used here for the architecture design, with the goal to split the CPS complexity into smaller entities that are easier to tackle. All the components are modeled by Fuzzy Logic Enhanced Time Petri Nets (FLETPNs) that can simultaneously describe the discrete event and the time discrete features. This unique and compact approach facilitates the control synthesis, the software design, the verification and the testing.An example of application to the control of a system composed of a wind turbine generator, a photo-voltaic generator and loads is used to show the model utilization and its benefits. I. APPROACHES OF THE CYBER-PHYSICAL SYSTEMSCPSs integrate the dynamics of the physical processes with those of the software and communication. There are some surveys that present the main characteristics, the main domains where they are applied and the main topics of the CPSs [10], [11], [12]. The main topics of the CPSs cover the specification, the modeling, the control, the design, the verification and the testing. The CPSs implementation consists of reactive programs that are based on models that are capable to support the mentioned activities.The main goal of the current research is to conceive a control system that concurrently reacts to discrete events and continuous modifications of plant state. The target is a set of interacting dynamic models capable to approach the following specification:• the reaction to synchronous and asynchronous (plant) events that are signaled by continuous variables (instead of single level events) • the continuous time reaction to modification of some (plant output) variables • the reaction control signals that belong to continuous domains (the discrete domains, as the binary set, should be particular cases) Some reactions require the execution of activities involving non-ignorable durations and could have real-time constraints that have to be fulfilled. This requirement leads to the conclusion that the target model has to be capable to describe concurrent behavior.A relevant issue is to conceive a model that is capable to describe the controller behavior and its structure. A practical goal is to make possible the verification that the implemented model fulfills the specified requirements.The implementation of controllers on digital computers supposes that the information of continuous variables can be represented with a limited and tolerated accuracy (due to the limited length of the number representation) and the calculus can add other losses of the precision. On the other hand, the continuous time reactions are not possible to be implemented on digital computers. For this reason, instead of continuous time models, the discrete time models are used. The l...

show abstract

“…There are some kinds of Petri Nets endowed with fuzzy features. A relevant review of fuzzy Petri nets and industrial applications can be found in [8].…”

Section: B High Level Petri Netsmentioning

confidence: 99%

Section: B High Level Petri Netsmentioning

confidence: 99%

See 1 more Smart Citation

Method for Approaching the Cyber-Physical Systems

Leţia

Kilyen

2016

Annals of Computer Science and Information Systems

View full text Add to dashboard Cite

show abstract

“…However, this attitude using explicit knowledge makes it important for practice and academia to determine the overlooked opportunities which may result from missed tactic and subjective knowledge. Besides, there is no room for possibility of knowledge acquisition be completed in a group of decision makers on a single basis . Tacit knowledge is recognized individually and depends on personal perceptions, experience, and insights.…”

Section: Introductionmentioning

confidence: 99%

Footprint of knowledge acquisition improvement in failure diagnosis analysis

Yazdi

2018

Quality & Reliability Eng

View full text Add to dashboard Cite

Fault tree analysis (FTA) as an effective and efficient risk assessment tool are widely used to analyze the reliability of a complex system. In this context, FTA can properly improve the safety performance of the system by preventing an event which may lead to occurrence of a catastrophic accident. However, traditional FTA is still suffering from dynamic structure demonstration and importantly epistemic uncertainty processing. In this study, a novel methodology is introduced using Bayesian updating mechanism to deal with dynamic structure and 2‐tuple fuzzy set named as intuitionistic fuzzy numbers are employed to cope with subjectivity of uncertainty processing. Accordingly, the most critical system components which affect the system reliability are recognized by using an appropriate sensitivity analysis method. The proposed methodology is then applied on a real case study application (a brake fluid filling system) in order to examine the effectiveness and feasibility of the approach. The results illustrated that the new methodology can have enough benefits for diagnosing the systems' faults compared with listing approaches of safety and reliability analysis. In terms of empirical case study, “electromotor failure” was evaluated as the second most critical basic event in conventional‐based approaches, whereas in the novel methodology “high pressure liquefied material” was recognized as the second one.

show abstract

“…In the literature, a number of PN variants have been introduced to enhance the original PN approach with improved rules of inference and knowledge learning. Of the existing variants, fuzzy PNs (FPNs) (Looney, 1988) have received much attention due to their efficiency for reasoning in expert systems using fuzzy production rules based on imprecise and vague information (Chiang, Liu, & Lee, 2000;Flintsch & Chen, 2004;Lee, Liu, & Chiang, 1999;Zhou & Zain, 2016). In the past, some authors dealt with self-adaptation of FPNs by training an FPN model using a reference one taken as benchmark (Li & Lara-Rosano, 2000;Zhang, Wang, & Yuan, 2009).…”

Section: Introductionmentioning

confidence: 99%

Plausible Petri nets as self‐adaptive expert systems: A tool for infrastructure asset monitoring

Chiachío

Prescott

et al. 2018

Computer aided Civil Eng

View full text Add to dashboard Cite

This article provides a computational framework to model self‐adaptive expert systems using the Petri net (PN) formalism. Self‐adaptive expert systems are understood here as expert systems with the ability to autonomously learn from external inputs, like monitoring data. To this end, the Bayesian learning principles are investigated and also combined with the Plausible PNs (PPNs) methodology. PPNs are a variant within the PN paradigm, which are efficient to jointly consider the dynamics of discrete events, like maintenance actions, together with multiple sources of uncertain information about a state variable. The manuscript shows the mathematical conditions and computational procedure where the Bayesian updating becomes a particular case of a more general basic operation within the PPN execution semantics, which enables the uncertain knowledge being updated from monitoring data. The approach is general, but here it is demonstrated in a novel computational model acting as expert system for railway track inspection management taken as a case study using published data from a laboratory simulation of train loading on ballast. The results reveal self‐adaptability and uncertainty management as key enabling aspects to optimize inspection actions in railway track, only being adaptively and autonomously triggered based on the actual learnt state of track and other contextual issues, like resource availability, as opposed to scheduled periodic maintenance activities.

show abstract

Fuzzy Petri nets and industrial applications: a review

Cited by 73 publications

References 110 publications

Method for Approaching the Cyber-Physical Systems

Method for Approaching the Cyber-Physical Systems

Footprint of knowledge acquisition improvement in failure diagnosis analysis

Plausible Petri nets as self‐adaptive expert systems: A tool for infrastructure asset monitoring

Contact Info

Product

Resources

About