The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents a new optimized interval principal component analysis applied to detect and isolate actuators faults of an autonomous spacecraft involved in the rendezvous phase of the Mars sample return mission. Based on the exploitation of various arithmetic and interval analysis properties, the new interval model is built by solving the interval eigenpairs problem via a resolution of a parametric...
This paper presents a new interval diagnosis method to detect and isolate actuators faults of an autonomous spacecraft involved in the rendez-vous phase of the Mars Sample Return (MSR) mission. The proposed diagnosis approach is based on the Vertices Principal Component Analysis (VPCA) as an extension of the classical PCA method to interval data. To ensure the feasibility of the proposed Fault Detection...
This paper presents a comparison between the diagnosis results using tow new interval methods to detect and isolate thrusters faults of an autonomous spacecraft involved in the rendez-vous phase of the Mars Sample Return (MSR) mission. As an extension of the classical Principal Component Analysis (PCA) method to interval data, the first diagnosis approach we proposed is based on the Vertices Principal...
This paper presents a fault diagnosis system for a sophisticated automotive embedded system. The latter is a Smart Distance Keeping system (SDK) which is an advanced adaptative cruise control implemented in a truck. The proposed diagnosis process is applied in a decentralized manner. To provide local diagnosis to one of the SDK electronic control unit, the approach based on the vertices principal...
Fault detection and isolation methods based on the Principal Component Analysis (PCA) have been widely used for monitoring complex industrial processes with multiple variables and diagnosing process and sensor faults. This approach has been mainly developed for the analysis of single valued variables without considering any uncertainty in the systems. The main objective of this paper is then to develop...
This paper presents a fault diagnosis system of the chaser reaction wheels used during the rendez-vous phase of the Mars Sample Return (MSR) mission. The principal component analysis has been adopted to estimate the relationships between the various variables of the process. To ensure the feasibility of the proposed FDI approach, a set of data provided by an industrial “high-fidelity” simulator of...
This paper presents a fault diagnosis system of the chaser thrusters used during the rendez-vous phase of the Mars Sample Return (MSR) mission. The Vertices Principal Component Analysis (VPCA) has been adopted as an extension method of the classical principal component analysis for interval valued data. The VPCA has been used to estimate the relationships between the various variables of the process...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.