Visible to the public Simultaneous diagnosis of multiple parametric faults based on differential evolution algorithm

TitleSimultaneous diagnosis of multiple parametric faults based on differential evolution algorithm
Publication TypeConference Paper
Year of Publication2018
AuthorsYang, Xiaoliu, Li, Zetao, Zhang, Fabin
Conference Name2018 Chinese Control And Decision Conference (CCDC)
Keywordscyber physical systems, differential evolution, differential evolution algorithm, Estimation, evolutionary computation, fault detection, fault diagnosis, human factors, Lipschitz nonlinear system, Metrics, multifault parameters estimation, multiple abrupt faults diagnosis, multiple fault diagnosis, multiple parametric faults, Nonlinear system, nonlinear systems, Optimization, pubcrawl, Resiliency, simultaneous diagnosis, Sociology, Statistics
AbstractThis paper addresses analysis and design of multiple fault diagnosis for a class of Lipschitz nonlinear system. In order to automatically estimate multi-fault parameters efficiently, a new method of multi-fault diagnosis based on the differential evolution algorithm (DE) is proposed. Finally, a series of experiments validate the feasibility and effectiveness of the proposed method. The simulation show the high accuracy of the proposed strategies in multiple abrupt faults diagnosis.
DOI10.1109/CCDC.2018.8407598
Citation Keyyang_simultaneous_2018