Fault detection and identification—A filter investigation [PDF]
International Journal of Robust and Nonlinear Control, 2017 SummaryThis paper develops a new active fault‐tolerant control system based on the concept of analytical redundancy. The novel design presented here consists of an observation filter–based fault detection and identification system integrated with a nonlinear model predictive controller.
R. Khan +4 more
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Algebraic Fault Detection and Identification for Rigid Robots [PDF]
2020 IEEE International Conference on Robotics and Automation (ICRA), 2020 This paper presents a method for algebraic fault detection and identification of nonlinear mechanical systems, describing rigid robots, by using an approximation with orthonormal Jacobi polynomials. An explicit expression is derived for the fault from the equation of motion, which is decoupled from disturbances and only depends on measurable signals ...
Alexander Lomakin, Joachim Deutscher
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Identification of fuzzy relational models for fault detection [PDF]
Control Engineering Practice, 1999 This paper presents the concept of fuzzy relational models for use in a fuzzy output estimator. A suitable field of application is in fault diagnosis, where output observation rather than state observation is needed for the generation of fault reflecting residual signals.
Amann, Patrick +3 more
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Fault detection and identification relying on set-membership identifiability [PDF]
Annual Reviews in Control, 2012 Identifiability is the property that a mathematical model must satisfy to guarantee an unambiguous mapping between its parameters and the output trajectories. It is of prime importance when parameters must be estimated from experimental data representing input–output behavior and clearly when parameter estimation is used for fault detection and ...
Jauberthie, Carine +2 more
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Detection and identification of loss of efficiency faults of flight actuators [PDF]
2013 Conference on Control and Fault-Tolerant Systems (SysTol), 2013 Abstract We propose linear parameter-varying (LPV) model-based approaches to the synthesis of robust fault detection and diagnosis (FDD) systems for loss of efficiency (LOE) faults of flight actuators. The proposed methods are applicable to several types of parametric (or multiplicative) LOE faults such as actuator disconnection ...
Daniel Ossmann, Andreas Varga
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FAST : a fault detection and identification software tool
, 2023 The aim of this work is to improve the reliability and safety of complex critical control systems by contributing to the systematic application of fault diagnosis. In order to ease the utilization of fault detection and isolation (FDI) tools in the industry, a systematic approach is required to allow the process engineers to analyze a system from this ...
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A Bayesian approach to robust identification: application to fault detection
, 2023 In the Control Engineering field, the so-called Robust Identification techniques deal with the problem of obtaining not only a nominal model of the plant, but also an estimate of the uncertainty associated to the nominal model. Such model of uncertainty is typically characterized as a region in the parameter space or as an uncertainty band around the ...
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A Technique for Centrifugal Pump Fault Detection and Identification Based on a Novel Fault-Specific Mann-Whitney Test. [PDF]
Sensors (Basel), 2023 Ahmad Z, Kim JY, Kim JM.
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Fault Detection and Identification in an Acid Gas Removal Unit Using Deep Autoencoders. [PDF]
ACS Omega, 2023 Kathlyn TK +4 more
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A Novel Fault Detection and Identification Framework for Rotating Machinery Using Residual Current Spectrum. [PDF]
Sensors (Basel), 2021 Purbowaskito W, Lan CY, Fuh K.
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