Add to ORKGThis thesis investigates if data gathered during system tests can be used to create state-machine system models. Such an automatically created model reflects the observed normal system behavior and can potentially be used for fault detection purposes. The task can be seen as learning a state machine from a single long message sequence
A Discrete Event System (DES) is a dynamic system in which the state of the system changes instantan...
In this thesis problems of diagnosis and prediction of event sequences in dynamic systems modeled us...
Failure diagnosis in industrial systems is a crucial and challenging task. Accurate and timely diagn...
The electronic components in modern automobiles build up a distributed system with so called electro...
Abstract: In this paper, we focus on the identification of large-scale discrete-event systems for th...
International audienceA pattern is a Finite State Machine that can describe rich faulty scenarios, s...
Abstract. In this note, fault detection techniques based on nite dimensional results are extended an...
Failure diagnosis in large and complex systems such as a communication network is a critical task. A...
Monitoring state and communication behavior of objects in distributed systems is critical because it...
The problem known as fault diagnosis in discrete-event systems is to determine a method for monitori...
Discrete Event Systems: Diagnosis and Diagnosability addresses the problem of fault diagnosis of Dis...
This thesis addresses three detection and diagnosis problems for systems with event-driven dynamics....
Abstract — This paper describes an innovative approach to network testing based on automatically gen...
grantor: University of TorontoA framework for on-line passive fault diagnosis in discrete-...
The state machine approach is a general method for achieving fault tolerance and implementing decen...
A Discrete Event System (DES) is a dynamic system in which the state of the system changes instantan...
In this thesis problems of diagnosis and prediction of event sequences in dynamic systems modeled us...
Failure diagnosis in industrial systems is a crucial and challenging task. Accurate and timely diagn...
The electronic components in modern automobiles build up a distributed system with so called electro...
Abstract: In this paper, we focus on the identification of large-scale discrete-event systems for th...
International audienceA pattern is a Finite State Machine that can describe rich faulty scenarios, s...
Abstract. In this note, fault detection techniques based on nite dimensional results are extended an...
Failure diagnosis in large and complex systems such as a communication network is a critical task. A...
Monitoring state and communication behavior of objects in distributed systems is critical because it...
The problem known as fault diagnosis in discrete-event systems is to determine a method for monitori...
Discrete Event Systems: Diagnosis and Diagnosability addresses the problem of fault diagnosis of Dis...
This thesis addresses three detection and diagnosis problems for systems with event-driven dynamics....
Abstract — This paper describes an innovative approach to network testing based on automatically gen...
grantor: University of TorontoA framework for on-line passive fault diagnosis in discrete-...
The state machine approach is a general method for achieving fault tolerance and implementing decen...
A Discrete Event System (DES) is a dynamic system in which the state of the system changes instantan...
In this thesis problems of diagnosis and prediction of event sequences in dynamic systems modeled us...
Failure diagnosis in industrial systems is a crucial and challenging task. Accurate and timely diagn...