Journal ArticleDOI
Process fault detection based on modeling and estimation methods-A survey
TLDR
This contribution presents a brief summary of some basic fault detection methods, followed by a description of suitable parameter estimation methods for continuous-time models.About:
This article is published in Automatica.The article was published on 1984-07-01. It has received 2367 citations till now. The article focuses on the topics: Fault detection and isolation & Process modeling.read more
Citations
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Nonlinear model decomposition for robust fault detection and isolation using algebraic tools
TL;DR: In this article, a structural decomposition of the system is made, using the criterion of robustness to unknown inputs, to achieve this decomposition, special mathematical tools are used, and an application on an academic example is also provided.
Journal ArticleDOI
Actuator and sensor fault detection and isolation of an actuated seat via nonlinear multi-observers
TL;DR: In this paper, a model-based approach to detect and isolate sensors and actuators faults using nonlinear sliding mode observers is proposed for an actuated seat, which consists of designing multiple observers such that each observer must be robust to noises and to other uncertainties but sensitive to each actuator or sensor fault.
Journal ArticleDOI
Probabilistic Monitoring of Sensors in State-Space With Variational Bayesian Inference
Shunyi Zhao,Yanjun Ma,Biao Huang +2 more
TL;DR: It is shown that the proposed algorithm provides not only a complete picture of the working status of each sensor, but also satisfied estimates of the hidden states in the presence of faulty signals.
On-line condition monitoring and fault diagnosis in hydraulic system components using parameter estimation and pattern classification
TL;DR: A novel model-based methodology has been proposed that has integrated four levels of information processing in a structured hierarchy and allows for automatic generation of fault symptoms in the form of qualitative variation of system physical parameters by on-line processing of low-quality raw sensor data.
Journal ArticleDOI
Experimental interval models for the robust Fault Detection of Aircraft Air Data Sensors
TL;DR: Data-based approaches for a robust Fault Detection of the Air Data Sensors including airspeed angles of attack and sideslip are proposed and the proposed FD scheme has shown to be remarkably robust in all phases of the flight in terms of low false alarm rates while maintaining desirable detectability to faults.
References
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Journal ArticleDOI
Paper: A survey of design methods for failure detection in dynamic systems
TL;DR: This paper surveys a number of methods for the detection of abrupt changes in stochastic dynamical systems, focusing on the class of linear systems, but the basic concepts carry over to other classes of systems.
Book
Digital Control Systems
TL;DR: This chapter introduces the z-Transform, a new type of transform that combines Laplace Transforms, z-Transforms and Modified Z-TRANSFORMS with Convolution Integral to achieve state-of-the-art control of Discrete-Data Systems.
Journal ArticleDOI
Correspondence item: An innovations approach to fault detection and diagnosis in dynamic systems
R. K. Mehra,J. Peschon +1 more
TL;DR: A general approach to fault detection, diagnosis and prognosis in systems describable by mathematical models is outlined, based on System Theory and Statistical Decision Theory.
Dissertation
Failure accomodation in linear systems through self-reorganization.
TL;DR: In this article, the authors present a model for the first unmanned aerial vehicle (UAV) and demonstrate its performance in the first flight test of the UAV-A1.
Journal ArticleDOI
Parameter estimation for continuous-time models-A survey
TL;DR: The paper reviews the progress of research on parameter estimation for continuous-time models of dynamic systems over the period 1958-1980 and includes a classification system which conforms as closely as possible to that which has arisen naturally over the past two decades.