Identification and Anomaly Detection for PLC Controlled Automatic Tool Changer Using Timed Petri Net

Author(s):  
Jianbo Liu ◽  
Dragan Djurdjanovic ◽  
Jun Ni

In this paper, a new method is proposed for incremental identification of Programmable Logic Controller (PLC) controlled tool changing process using available binary event logs obtained from the PLC. The identified discrete event model identified takes the form of a modified Timed Petri Net (TPN). A real time anomaly detection system is then constructed by synchronizing the identified TPN model with the actual tool changing process through the event sequence. Any discrepancies between the model and actual system are recognized as anomalies. The test results show that the diagnostic system automatically constructed using the newly proposed procedure is able to detect anomalies, such as incorrect timing and illegal event sequence. The same procedure has been successfully applied to monitor other PLC controlled automation processes.

2013 ◽  
Vol 22 ◽  
pp. 467-476
Author(s):  
Hisaaki Yamaba ◽  
Shoichiro Kitano ◽  
Kayoko Takatsuka ◽  
Tetsuro Katayama ◽  
Naonobu Okazaki ◽  
...  

Author(s):  
Sagar Y. Patil

The goal of this research is to provide a method for analyzing process efficiency that uses a combination of Petri nets and Flexsim software to resolve a typical discrete event in a workshop production system. This study, in particular, use Petri net theory to represent the event, followed by the usage of Flexsim software to interactively simulate the Petri-net based model, providing the system bottleneck intuitive and visible. Furthermore, it achieves the goal of increasing the efficiency of the system process by upgrading the system objects. In comparison to the previous way, the simulation results suggest that new method can immediately identify potential system faults. The efficiency is considerably increased as a result of this strategy. This research improves the efficiency of production line by reduction in idle percentage and improvement in processing percentage.


2011 ◽  
Vol 291-294 ◽  
pp. 2775-2778 ◽  
Author(s):  
Yi Sheng Huang ◽  
Yi Shun Weng

Timed Petri net (TPN) has been utilized as a visual formalism for the modeling of complex discrete event dynamic systems. It illuminates the features on describing properties of causality and concurrency. Moreover, it is well-known that synchronized timed Petri net (STPN) allows us to present all of the concurrent states in complex TPN. In this paper, we propose a new methodology to design, analyze and implement an urban emergency vehicle preemption control system by using STPN. The applications of STPN to two-phase traffic lights and emergency vehicle preemption are illustrated. The advantage of the proposed approach is the clear presentation of traffic lights’ behaviors in terms of conditions and events that cause the preemption phases alternations. Finally, a two-phase traffic lights control system with emergency vehicle preemption will be realized by using STPN. To our knowledge, this is the first work that employs STPN to model a two-phase traffic lights control system with emergency vehicle preemption system.


2016 ◽  
Vol 23 (7) ◽  
pp. 1152-1165
Author(s):  
Niloofar N Kamran ◽  
Sergey V Drakunov ◽  
Wanda M Solano

In this paper a nonlinear observer for a class of partial differential equations known as the advection equation is designed. The observer, that uses only boundary measurements, is developed based on the sliding mode method. The convergence of states of the observer to the actual system, in spite of possible mismatches between the model and the system, is proven through the Lyapunov stability techniques. In addition, a sliding mode method is employed to design an anomaly detection system that is able to identify parameters of the disturbance in the system such as intensity and location. The Lyapunov stability theorem has been used in order to guarantee the convergence of the anomaly detection system. The applications of observer and anomaly detector are illustrated through simulation.


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