In this paper, a sensor fault detection and isolation scheme for nonlinear systems is considered. A nonlinear diffeomorphism is introduced to explore the system structure and a simple filter is presented to ‘transform’ the sensor fault into a pseudo-actuator fault scenario. A sliding mode observer is designed to reconstruct the sensor fault precisely if the system does not experience any uncert...

In this thesis, model based fault detection, isolation, and estimation problem in several classes of nonlinear systems is studied using sliding mode and learning approaches. First, a fault diagnosis scheme using a bank of repetitive learning observers is presented. The diagnostic observers are established in a generalized observer scheme, and the observer inputs are repetitively updated using t...

In the statistical estimation context, the difficulty in the transition from two– to threedimensional problems is much more than an increase in the number of pixels: the complexity per pixel is cubed!, even for efficient estimation algorithms. That is, even aside from the other challenges posed by 3D estimation (e.g., complex data structures, the difficulty of determining empirical statistics),...

Current spectrum analysis is a proven technique for fault diagnosis in electrical machines. Current spectral estimation is usually performed using classical techniques such as periodogram (FFT) or its extensions. However, these techniques have several drawbacks since their frequency resolution is limited and additional post-processing algorithms are required to extract a relevant fault detectio...

In this paper, the detection of a fault in the Global Positioning System (GPS) measurement is addressed. The class of faults considered is a bias in the GPS pseudorange measurements. This bias is modeled as an unknown constant. The fault could be the result of a receiver fault or signal fault such as multipath error. A bias bank is constructed based on set of possible fault hypotheses. Initiall...

In this paper, we propose a fault management with fast rerouting restoration scheme in MPLS network. The proposed scheme finds out the root cause of the occurred fault, and provides differentiated service with guaranteed QoS (Quality of Service) according to the differentiated backup path options. It can provide various backup path options, such as 1:1, 1:N or M:N fast-reroute by NMS, and opera...

today, with attention to increase in sensitive electrical equipments application in distribution networks and their susceptibility to the power quality deficiencies, the protection necessity of sensitive loads against undesirable effects of these disturbances are in focus. so, in this paper voltage sag deficiency and dynamic voltage restorer (dvr) would be introduced as the most prevalent power...

The article focuses on the design and application of an active reconfigurable controller that mitigates effects gust load actuator faults a flexible aircraft. A novel integrated adaptive output feedback scheme is investigated to address faults. real-time fault values provided by estimation module are considered in control law improve fault-tolerant capability. estimate gains calculated analyzin...

In this paper, the fault detection problem is investigated for a class of networked multi-rate systems (NMSs) with network-induced fading channels and randomly occurring faults. The stochastic characteristics of the fading measurements are governed by mutually independent random channel coefficients over the known interval [0, 1]. By applying the lifting technique, the system model for the obse...

AbstractIn this paper, a robust sensor fault detection and isolation (FDI) method based on the unknown input observer (UIO) approach is presented. The basic principle of unknown input observers is to decouple disturbances from the state estimation error. A single full-order observer is designed to detect sensor faults in the presence of unknown inputs (disturbances). By doing so, we generate a ...