Abstract This article presents an active current sensor (CS) fault-tolerant control (FTC) strategy for induction motor (IM) drive with adaptation of rotor and stator resistances. The estimator online resistance parameters was applied the reconstruction missing signals. A model reference adaptive system (MRAS), based on a neural network (NN), used to estimate resistance. Additionally, estimation...

An approximate input reconstruction algorithm is used to reconstruct unknown inputs, which are then used for fault detection. The approximate input reconstruction algorithm is a least squares algorithm that estimates both the unknown initial state and input history. The estimated inputs are then compared to the commanded values and sensor values to assess the health of actuators and sensors. Th...

In this paper, an integrated data validation/reconstruction and fault diagnosis approach is proposed for critical infrastructure systems. The proposed methodology is implemented in a two-stage approach. In the first stage, sensor communication faults are detected and corrected, in order to facilitate a reliable dataset to perform system fault diagnosis in the second stage. On the one hand, sens...

The Shannon sampling principle requires substantial amounts of data to ensure the accuracy of on-line monitoring of roller bearing fault signals. Challenges are often encountered as a result of the cumbersome data monitoring, thus a novel method focused on compressed vibration signals for detecting roller bearing faults is developed in this study. Considering that harmonics often represent the ...

This paper presents a new methodology for designing a detection, isolation, and identification scheme for sensor faults in linear timevarying systems. Practically important is that the proposed methodology is constructed on the basis of historical data and does not require a priori information to isolate and identify sensor faults. This is achieved by identifying a state space model and designi...

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...

The Eşen Basin is a ca. 30 km long and 15 km wide, NNE-SSW trending young graben which is located in SW Turkey between the Isparta Angle and the Western Anatolian Extensional Province (Fig. 3). The basin has a key position in the south-western part of the Fethiye-Burdur Fault Zone (FBFZ), which is a presumed strike-slip zone with faults that run through numerous small cities and villages. There...

Geometric fault detection and isolation filters are known for having excellent fault isolation, fault reconstruction and sensitivity properties under small modeling uncertainty and noise. However they are assumed to be sensitive to model uncertainty and noise. This paper proposes a method to incorporate model uncertainty into the design. First, a geometric filter is designed on the nominal plan...