In the present work, we use an adaptive robust approach for fault detection and accommodation in electro-hydraulic systems. It is well known fact that any realistic model of a hydraulic system suffers from significant extent of uncertain nonlinearities and parametric uncertainties. An adaptive robust scheme is robust to such uncertainties and tracks the change in parameters reliably. Consequent...

UNLABELLED Electron tomography is the leading technique to elucidate the structure of complex biological specimens. Due to the resolution needs, huge reconstructions are required. Grid computing has the potential to face the significant computational demands involved. However, there are a number of key issues, such as stability or difficult user-grid interaction, that currently preclude fully e...

Reaching as high structural resolution as possible in 3D electron microscopy of biological specimens is crucial to understanding their function and interactions. Technical and biological limitations make electron microscopy projections of such specimens quite noisy. Under those circumstances, the broadly used Weighted Back-Projection algorithm presents some limitations for 3D reconstruction. It...

As more engineering operations become automatic, the need for robustness towards faults increases. Hence, a fault tolerant control (FTC) scheme is a valuable asset. This paper presents a robust sensor fault FTC scheme implemented on a flexible arm manipulator, which has many applications in automation. Sensor faults affect the system's performance in the closed loop when the faulty sensor readi...

Vibration sensor data from a mechanical system are often associated with important measurement information useful for machinery fault diagnosis. However, in practice the existence of background noise makes it difficult to identify the fault signature from the sensing data. This paper introduces the time-frequency manifold (TFM) concept into sensor data denoising and proposes a novel denoising m...

This paper presents a comprehensive study of model-based fault diagnosis (FD) and fault-tolerant control (FTC) scheme for sensor actuator faults turbojet engines. For FD, an unbiased estimation with modified Kalman filter (KF) was developed. two approaches, the generalized likelihood ratio robust KF pseudo model KF, were investigated in comparative study. detection isolation, test statistics ar...

We present a modular algorithm for computing GCDs of univariate polynomials with coefficients modulo a zero-dimensional triangular set. Our algorithm generalizes previous work for computing GCDs over algebraic number fields. The main difficulty is when a zero divisor is encountered modulo a prime number. We give two ways of handling this: Hensel lifting, and fault tolerant rational reconstructi...