Maintaining safe and efficient operation in a single-phase pulse width modulation (PWM) rectifier that employs current sensors relies heavily on accurate sensor readings. However, several factors such as environmental conditions, aging, or damage can lead to faults. Therefore, it is imperative implement robust fault detection methods ensure reliable system operation. The use of unknown input ob...

This paper presents a robust model{based technique for the diagnosis of faults in a chemical process. The diagnosis system is based on the robust estimation of process outputs. A dynamic non{linear model of the process under investigation is obtained by a procedure exploiting T akagi{Sugeno (T-S) multiple{ model fuzzy iden ti cation. The combined iden ti cation and residual generation schemes h...

In this paper, a passive robust fault detection test based on calculating the inverse image of an interval model (linear or non-linear but linear with respect to the parameters) expressed in MA form is presented. This relies on a consistency test which uses tools from interval analysis and zonotope arithmetic to check if there exists a member in the family of models described by an interval mod...

A robust fault detection and isolation scheme is proposed for uncertain continuous linear systems with discrete state delays for both additive and multiplicative faults. Model uncertainties, disturbances and noises are represented as unstructured unknown inputs. The proposed scheme consists of a Luenberger observer for fault detection and a group of adaptive observers, one for each class of fau...

In this work we study a new approach of fault tolerant control schema.The suggested strategy is an active Fault Tolerant Control (FTC) strategy that reconfigures the controller on-line taking into account changes due to the faults where both the block of fault detection and the block of the controller are formulated as a Linear Matrix Inequality (LMI) problem. The problem of fault estimation is...

ICA is applied to multi-channel vibration measurements of a 35 kW cage induction motor to fuse the information of several channels, and provide a robust and reliable fault detection routine. Independent components are found from the measurement data set with FastICA algorithm, and their PSD estimates are calculated with Welch’s method. A SVM based classification routine is applied to the PSD es...

This paper deals with the problem of fault detection for networked control systems in the stochastic environments. The packet dropout, networkinduced delay and out-of-order packets due to long delay are assumed to exist stochastically in the sensor-to-controller link and the controller-toactuator link. By assuming that the stochastic environment could be described as a homogeneous Markovian cha...

This paper presents two novel hybrid schemes for component fault diagnosis in a general nonlinear system. Unlike most fault diagnosis techniques, the proposed solution detects, isolates, and identifies the severity of faults in the system within a single integrated framework. The proposed technique is based on a bank of adaptive neural parameter estimators (NPE) and a set of parameterized fault...

The use of an appropriate fault detection scheme for hardware implementation of the Advanced Encryption Standard (AES) makes the standard robust to the internal defects and fault attacks. To minimize the overhead cost of the fault detection AES structure, we present a lightweight concurrent fault detection scheme for the composite field realization of the S-box using normal basis. The structure...

In this paper, we study a new approach to fault detection for autonomous robots. Our hypothesis is that hardware faults change the flow of sensory data and the actions performed by the control program. By detecting these changes, the presence of faults can be inferred. In order to test our hypothesis, we collect data from three different tasks performed by real robots. During a number of traini...