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In this paper, a model-based FDI-scheme for the detection and isolation of sensor faults in the vehicle lateral dynamics control system ESP is presented. The main objective is to handle the model uncertainties and to isolate faults. In order to reduce false alarm rate on the one hand and to ensure fault detectability on the other hand, a parity space based solution is presented. To achieve a numerical...
In this paper, a model-based fault diagnosis scheme for on-board diagnosis in spark ignition (SI) engine control systems is presented. The developed fault diagnosis system fully makes use of the available control structure and is embedded into the control loops. As a result, the implementation of the diagnosis system is realized with low demands on engineering costs, computational power and memory...
For linear systems with structured uncertainties, the unknown input fault detection observer (UIFDO) provides a robust diagnostic approach by decoupling the fault signals from the unknown input term. However, in real applications, detection performance of the UIFDO degrades seriously as nonlinearities become significant in a wide dynamic operating range. In this paper, a novel UIFDO design and the...
This paper presents an application of the interval fuzzy model (INFUMO) in fault detection and isolation for a class of processes with uncertain interval-type parameters. Confidence data bands for the process input-output pairs are approximated using a fuzzy model with interval parameters. The approximation, based on linear programming, employs linfin-norm as the modelling error measure. Arbitrary...
In modern buildings heating, ventilating and air conditioning (HVAC) systems are becoming more and more sophisticated with increasingly complex system configurations. Equipment failures and loss of control leading to less than acceptable indoor environment conditions is a common problem reported in many buildings. For this reason, monitoring and controlling these systems under a wide variety of occupancy...
A scheme is presented for the integration of FDI functional units into control loops embedded in mechatronic systems. The core of this FDI scheme is to design the FDI functional units by making use of the available tracking control structure. The developed FDI scheme is applied to the air-intake control system of an SI-engine
The main objective of this paper is development of a fault diagnosis, isolation and detection technique that is constructed based on the interacting multiple model (IMM) algorithm for partial (soft) or total (hard) reaction wheel failures in the spacecraft attitude control system (ACS). Based on different scenarios and assumptions, we develop healthy models of the ACS under various operating conditions...
This paper describes a controller design and also a sensor fault diagnosis based on a LTV model for a winding machine. It shows that, according to an experimental identification approach, a LTV model is ideally suited to improve the control of web tension. Moreover, based on this model, an innovative bank of interpolated LTI Kalman filters is synthesised to allow sensor fault detection and isolation...
Spectral analysis based diagnosis proposes to use a prototype for the spectrum that constitutes a reference for further analyses. This prototype is used to decide that the actual signal has the same behavior as the reference one. Data used to build the prototype mast be very reliable, which is not always the case when acquisition is made in an industrial context The objective of this paper is the...
We discuss a factor which disturbs misfire detection at high engine speed on the basis of a crankshaft vibration analysis. According to this analysis, the detection window size was changed. Engine test showed the possibility of misfire detection improvement. Then, a filter which can detect not only periodic misfire but also isolated misfire is proposed. The filter is robust against acceleration. The...
The purpose of this paper is to present results that were obtained in fault diagnosis of an industrial process. The diagnosis algorithm is based on a three-layer neuro-fuzzy network theory. We present a new technique for the treatment of overlaps among adjoining fuzzy sets. Inputs of the network are the process I/O data, such as pressure and temperature, parameters estimated by EKF, and state values...
A self-validating algorithm is proposed for hot thermistor constant differential temperature air flow sensor. Through this algorithm, the health of the sensor can be evaluated online, and a dynamic profile for assessment of measurement uncertainties is obtained. Such a profile is used to quantify the impact of faults occurred to the sensor. The impurity of the air and the harsh working environment...
This paper extends the previous results of the authors on fault recovery to timed discrete-event systems (TDES), and discusses the application of the proposed methodology to a manufacturing cell. It is assumed that the plant can be modelled as a TDES, the faults are permanent, and that a diagnosis system is available that detects and isolates faults with a bounded delay (expressed in clock ticks)...
Due to unforeseen circumstances and naturally occurring faults, it is desired that an on-board fault-diagnosis system of a space vehicle be capable of detecting, isolating, identifying or classifying faults in the system. In this paper, a novel approach is proposed which strengthens existing efficient fault-detection mechanisms with an additional ability to classify different types of faults to effectively...
Recently a new approach for multi-model identification and failure detection in the presence of model uncertainty and bounded energy noise over finite time intervals was introduced. This approach involved offline computation of an auxiliary signal and online application of the detection and identification test. The theory and algorithms include optimization over a parameter beta. By considering a...
This paper investigates the actuator fault isolation problem for a class of linear systems. To isolate the actuator faults amongst all possibilities, we first relate each possibility to a faulty model, then for each possible faulty model, a sliding mode observer (SMO) is designed. It is proved that, for the faulty model corresponds to the faulty actuators, the SMO designed can ensure the related state...
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