Data‐Driven Fault Detection for Multimode Industrial Processes Based on Mixture of Autoencoders
Sign Up to like & getrecommendations! Published in 2025 at "Asia-Pacific Journal of Chemical Engineering"
DOI: 10.1002/apj.70022
Abstract: Data‐driven fault detection technique has been widely applied to industrial processes to reduce production losses caused by faults. Due to complicated chemical reactions and phase changes, the relationships between process variables are nonlinear. In particular,… read more here.
Keywords: detection; industrial processes; mixture; fault detection ... See more keywords
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
A bumpless transfer piecewise filtering approach for fault detection of switched linear systems
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DOI: 10.1002/asjc.3321
Abstract: This study focuses on bumpless transfer (BT) fault detection in switched linear systems operating under mode‐dependent average dwell time (MDADT) switching. We propose a piecewise fault detection filter (FDF) inspired by the segmentation concept inherent… read more here.
Keywords: fault detection; piecewise; detection switched; bumpless transfer ... See more keywords
H−/L∞ UIO‐based fault detection and isolation design in finite‐frequency domain for nonlinear systems
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DOI: 10.1002/asjc.3455
Abstract: The issue of fault detection and isolation design in the finite‐frequency domain for discrete‐time Lipschitz nonlinear systems subjected to actuator faults and disturbances is investigated. A bank of H−/L∞ unknown input observers (UIOs) is established… read more here.
Keywords: fault detection; detection isolation; finite frequency; fault ... 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
Fault Detection Strategy of Partial Least Squares Based on Temporal Neighborhood Difference
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DOI: 10.1002/cem.3621
Abstract: Aiming at the difficulty of detecting time‐lag faults in dynamic processes, a fault detection strategy based on time neighborhood difference (TND) is proposed, and it is introduced into the partial least squares (PLS) method to… read more here.
Keywords: detection; method; tnd; fault detection ... 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
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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