Robust fault detection for discrete-time stochastic systems with non-homogeneous jump processes
MetadataShow full item record
The problem of robust fault detection (RFD) is studied for a class of discrete-time stochastic systems with non-homogeneous jump processes. First, a filter-based residual signal generator is constructed. To guarantee the sensitivity to faults and robustness against unknown inputs, both H∞ performance and a new performance index are considered. Then an FD filter, which minimises the influences of the disturbances, modelling uncertainties and increases the sensitivity to faults, is designed. A sufficient condition for ensuring the existence of RFD filter in terms of linear-matrix inequalities is established. A simulation is carried out, illustrating that the proposed RFD filter can detect the faults after their occurrences in a timely manner.
Showing items related by title, author, creator and subject.
Chehrazi, A.; Rahimpour-Bonab, H.; Rezaee, Reza (2013)In this study of the Dorood oil field, offshore Iran, 3D seismic data were utilized to identify a complex fault pattern in the highly faulted and fractured Fahliyan Formation. To enhance data quality and improve attribute ...
Habibi, H.; Howard, Ian; Habibi, R. (2017)© 2017 Chinese Automatic Control Society and John Wiley & Sons Australia, Ltd.In this paper, the fault detection of a latent fault in a sensor for a Markov jump system is studied. It is equivalent to detecting a change ...
Yin, Y.; Shi, Peng; Liu, F.; Teo, Kok Lay; Teo, Kok Lay (2015)In this paper, we consider a class of fuzzy stochastic systems with nonhomogeneous jump processes. Our focus is on the design of a fuzzy fault detection filter that is sensitive to faults but robust against unknown inputs. ...