| Title | Application of multi-fault diagnosis based on discrete event system in industrial sensor network |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Zhang, Jing |
| Conference Name | 2021 4th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) |
| Keywords | Analytical models, circuit breakers, Circuit faults, Couplings, Cyber-physical systems, diagnosability, Discrete event system, discrete-event systems, fault diagnosis, human factors, Metrics, multiple fault diagnosis, Multiple Faults, pubcrawl, Resiliency, Trajectory |
| Abstract | This paper presents a method to improve the diagnosability of power network under multiple faults. In this paper, the steps of fault diagnosis are as follows: first, constructing finite automata model of the diagnostic system; then, a fault diagnoser model is established through coupling operation and trajectory reasoning mechanism; finally, the diagnosis results are obtained through this model. In this paper, the judgment basis of diagnosability is defined. Then, based on the existing diagnosis results, the information available can be increased by adding sensor devices, to achieve the purpose of diagnosability in the case of multiple faults of the system. |
| DOI | 10.1109/AEMCSE51986.2021.00230 |
| Citation Key | zhang_application_2021 |
Application of multi-fault diagnosis based on discrete event system in industrial sensor network