SPECIAL ISSUE ON ‘SMC based observation, identification, uncertainties compensation and fault detection’
Sign Up to like & getrecommendations! Published in 2019 at "Asian Journal of Control"
DOI: 10.1002/asjc.2054
Abstract: Within the theoretical and practical developments of theories of systems identification, control design, and observations, the use of the sliding mode concept has attracted increasing attention due to its potential in dealing with, for example,… read more here.
Keywords: sliding mode; uncertainties compensation; special issue; identification ... See more keywords
Fault detection and diagnosis strategy based on a weighted and combined index in the residual subspace associated with PCA
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Chemometrics"
DOI: 10.1002/cem.2981
Abstract: Process monitoring and diagnosis are crucial for efficient and optimal operation of a chemical plant. Most multivariate statistical process monitoring strategies, such as principal component analysis, kernel principal component analysis, and dynamic principal component analysis,… read more here.
Keywords: detection; index; diagnosis; principal component ... See more keywords
New sensor fault detection and isolation strategy–based interval‐valued data
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Chemometrics"
DOI: 10.1002/cem.3222
Abstract: In this paper, a new data‐driven sensor fault detection and isolation (FDI) technique for interval‐valued data is developed. The developed approach merges the benefits of generalized likelihood ratio (GLR) with interval‐valued data and principal component… read more here.
Keywords: fault; valued data; fault detection; interval valued ... See more keywords
A Data-Driven Fault Detection Approach with Performance Optimization†
Sign Up to like & getrecommendations! Published in 2018 at "Canadian Journal of Chemical Engineering"
DOI: 10.1002/cjce.22994
Abstract: This paper is concerned with the data-driven realization of fault detection approach with performance optimization. For our purpose, the data-driven realization form of linear kernel representations is studied first, which is essential in our work.… read more here.
Keywords: fault detection; detection approach; data driven; performance ... See more keywords
Fault Detection for Nonlinear Systems with Unreliable Measurements based on Hierarchy Cubature Kalman Filter
Sign Up to like & getrecommendations! Published in 2018 at "Canadian Journal of Chemical Engineering"
DOI: 10.1002/cjce.23061
Abstract: This paper is concerned with fault detection of a kind of nonlinear dynamic systems. Based on the framework of hierarchy information processing, the scope of the fault is first being located by use of the… read more here.
Keywords: fault detection; fault; kalman filter; cubature kalman ... See more keywords
Set-based fault detection and isolation for detectable linear parameter-varying systems
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.3814
Abstract: Summary In the context of fault detection and isolation of linear parameter-varying systems, a challenging task appears when the dynamics and the available measurements render the model unobservable, which invalidates the use of standard set-valued… read more here.
Keywords: fault detection; detection; linear parameter; detection isolation ... See more keywords
Asynchronous fault detection observer design for discrete‐time piecewise linear systems
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.4835
Abstract: This paper studies the problem of asynchronous fault detection (FD) observer design for piecewise linear systems. Considering that the states of the FD observer and the system may stay at different regions of the state… read more here.
Keywords: asynchronous fault; design; piecewise; observer design ... See more keywords
Distributed Estimator-Based Fault Detection for Multi-agent Networks
Sign Up to like & getrecommendations! Published in 2018 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-017-0548-z
Abstract: This paper focuses on the problem of fault detection (FD) for multi-agent networks when some follower agents are subjected to actuator or sensor faults. A distributed FD architecture is proposed by constructing a consensus-based estimator… read more here.
Keywords: fault detection; estimator; multi agent; agent networks ... See more keywords
Event-Triggered Fault Detection for Networked LPV Systems
Sign Up to like & getrecommendations! Published in 2019 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-018-1017-z
Abstract: This paper is concerned with the fault detection problem for a class of continuous-time linear parameter-varying systems with signal transmission delays. An effective event-triggered communication scheme is introduced to reduce the burden of the shared… read more here.
Keywords: problem; triggered fault; event triggered; fault detection ... See more keywords
Analog Circuit Fault Detection by Impulse Response-Based Signature Analysis
Sign Up to like & getrecommendations! Published in 2020 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-020-01375-0
Abstract: This paper presents a method for the detection of parametric faults in linear filters with the help of impulse response which is studied on the basis of cross-correlation, a statistical metric. Impulse input is generated… read more here.
Keywords: impulse response; analog circuit; detection; fault detection ... See more keywords
Real-time broken rotor bar fault detection and classification by shallow 1D convolutional neural networks
Sign Up to like & getrecommendations! Published in 2019 at "Electrical Engineering"
DOI: 10.1007/s00202-019-00808-7
Abstract: Application of advanced fault diagnosis and monitoring techniques allows more efficient, reliable and safe operation of many complex industrial systems. Recently, there has been a significant increase in application of various data-driven deep learning models… read more here.
Keywords: real time; classification; fault detection; fault ... See more keywords