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
More filters
Journal ArticleDOI
A Machine Learning Approach to Aircraft Sensor Error Detection and Correction
TL;DR: This work develops a novel data-driven approach to detect sensor failures and predict the corrected sensor data using machine learning methods in an offline/online paradigm and demonstrates the methodology on flight data from a four-engine commercial jet that contains failures in the pitot static system resulting in inaccurate airspeed measurements.
Journal ArticleDOI
Output-Only Measurements for Fault Detection of Multi-Actuator Systems in Motion Control Applications
TL;DR: In this article , the authors use transmissibility operators, which are mathematical models that characterize the relationship between sensors in an underlying system, for fault detection of actuators in linear systems.
Proceedings ArticleDOI
Parity based fault estimation for nonlinear systems: an LMI approach
TL;DR: In this article, the parity space approach for linear systems is generalized to TS fuzzy systems, and power spectra of the faults are incorporated into the design procedure in terms of a family of linear matrix inequalities.
Proceedings ArticleDOI
Estimation of parity equations in nonlinear systems
TL;DR: A combination of parameter estimation techniques and the parity space approach allows online fault detection with small signal models for certain class of processes with mainly constant input signals.
Dissertation
Characterisation of the dynamics of an automotive suspension system for on-line condition monitoring
TL;DR: In this article, an approach quantifies the modal shapes which are obtained based on an improved modal identification applying to acceleration responses at the four corners of the vehicle, which can be used to diagnose and monitor the suspension system.
References
More filters
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.