Steering assist system controls the force transfer behavior of the steering system and improves the steering probability of the vehicle. Moreover, it is an interface between the diver and vehicle. Fault detection in electrical assisted steering systems is a challenging problem due to frequently use of these systems. This paper addresses the fault detection and reconstruction in automotive elect...

steering assist system controls the force transfer behavior of the steering system and improves the steering probability of the vehicle. moreover, it is an interface between the diver and vehicle. fault detection in electrical assisted steering systems is a challenging problem due to frequently use of these systems. this paper addresses the fault detection and reconstruction in automotive elect...

kuhbanan fault system, as one of the intracontinental faults of central iran, is recognized by considerable seismogenic activities and modern morphotectonics evidences with a strike-slip (reverse component) motion. according to the geometric and kinematics data, kuhbanan fault has been divided into 5 segments (s26, s27, s28, s29, s30) in bahabad region. measured geomorphic indices of ratio of v...

Kuhbanan fault system, as one of the intracontinental faults of central Iran, is recognized by considerable seismogenic activities and modern morphotectonics evidences with a strike-slip (reverse component) motion. According to the geometric and kinematics data, Kuhbanan fault has been divided into 5 segments (S26, S27, S28, S29, S30) in Bahabad region. Measured geomorphic indices of ratio of v...

The objective of a robust fault reconstruction scheme is to generate an accurate reconstruction of the fault that is unaffected by disturbances. A typical method for robust fault reconstruction is to reconstruct the faults and disturbances, which is conservative and requires stringent conditions. This paper investigates and presents conditions that guarantee a fault reconstruction that rejects ...

recently different approaches have been developed in the field of sensor fault diagnostics based on auto-associative neural network (aann). in this paper we present a novel algorithm called self reconstructing auto-associative neural network (s-aann) which is able to detect and isolate single faulty sensor via reconstruction. we have also extended the algorithm to be applicable in multiple faul...

This paper presents a robust FDI scheme using a sliding mode observer based on an LPV system, with fault reconstruction capability. Both actuator and sensor fault reconstruction schemes are considered which possess robustness against a certain class of uncertainty and corrupted measurements. For actuator fault reconstruction, the input distribution matrix (associated with the actuators being mo...

This paper presents a new actuator and sensor fault reconstruction scheme for Linear Parameter Varying (LPV) systems, based on a sliding mode observer. Two separate observer schemes for actuator and sensor fault reconstruction are presented. For the design of the actuator fault reconstruction scheme, the varying input distribution matrix has been factorized into a fixed and a varying component....

In this paper, an approach for fault detection and isolation filter design based on the reconstruction of the fault modes is presented. Input reconstruction and a very closely related concept, the system inversion is addressed to the fault detection and isolation problem. Moreover, the basic concept of that field, the fault detectability, output separability, and the fault detection and isolati...

This paper presents a new method to perform fault diagnosis for data-correlation based process monitoring. As alternative to the traditional contribution plot method, reconstruction-based contribution of fault detection indices is proposed. The monitored indices are SPE, T 2 and a combined index φ. The lack of diagnosability of traditional contributions is analyzed for the case of single sensor...