The main objective of this paper is to show an importance of developing suitable experimental conditions while designing and utilizing model-based fault detection systems. In particular, the paper shows the possibilities of exploiting the theory of optimum experimental design in parameter-estimation-based fault detection schemes. More precisely, a novel scheme for measuring and diagnosing an im...

Feature extraction from vibration signal is still a challenge in the area of fault diagnosis and remaining useful life (RUL) estimation of rotary machine. In this paper, a novel feature called phase space similarity (PSS) is introduced for health conditionmonitoring of bearings. Firstly, the acquired signal is transformed to the phase space through the phase space reconstruction (PSR). The simi...

In earlier research we developed a theory for predicting the reliability of conventional sequential programs based on an estimate of residual faults. This paper describes how the theory was applied to a realistic industrial example containing a known number of faults. The industrial example was implemented in a PLC application language where the program is represented by a network of logic gate...

This paper focuses on the problem of accurate Fault Characteristic Frequency (FCF) estimation of rolling bearing. Teager-Kaiser Energy Operator (TKEO) demodulation has been applied widely to rolling bearing fault detection. FCF can be extracted from vibration signals, which is pre-treatment by TEKO demodulation method. However, because of strong noise background of fault vibration signal, it is...

Abstract: This paper describes a fault detection and isolation (FDI) scheme performed on the benchmark problem of a ship propulsion system. The model used for the ship propulsion system is nonlinear, for which two types of additive sensor faults, an additive incipient fault, and a multiplicative parametric fault are simulated. The estimation of the fault severity is accomplished by using an ada...

This paper addresses the problems of robust fault estimation and fault-tolerant control for Takagi–Sugeno (T–S) fuzzy systems with time delays and unknown sensor faults. A fuzzy augmented state and fault observer is designed to achieve the system state and sensor fault estimates simultaneously. Furthermore, based on the information of on-line fault estimates, an observer-based dynamic output fe...

Based on fuzzy control and sliding mode observer technique, a fault accommodation strategy is proposed for near space hypersonic vehicle (NSHV) with actuator fault in this study. Firstly, the Takagi-Sugeno (T-S) fuzzy model is implemented to represent the NSHV nonlinear dynamics, and a bank of sliding mode observers are designed for the established T-S model, which are used to generate the resi...

Intermittent fault localization approaches account for the fact that faulty components may fail intermittently by considering a parameter (known as goodness) that quantifies the probability that faulty components may still exhibit correct behavior. Current, state-of-the-art approaches (1) assume that this goodness probability is context independent and (2) do not provide means for integrating p...

A fuzzy fault-tolerant control scheme is proposed for a class of multiple input fuzzy bilinear systems with unmeasurable states. First, a fuzzy detective observer is designed to detect the fault. Based on the developed detective observer, a fuzzy controller is proposed to guarantee the closed-loop system without faults is asymptotically stable. Then, a fuzzy adaptive diagnostic observer is desi...

A new one-end fault location algorithm designated for series-compensated transmission lines is delivered in this paper. It is based on differential equation approach, which allows good reflection of the dynamic phenomena relevant for faults occurring behind the bank of series capacitors (SCs) equipped with metal oxide varistors (MOVs). As a result of that, a good stabilisation of the estimation...