This paper proposes a new method for the analysis and design of sliding mode observers for sensor fault reconstruction. The proposed scheme addresses one of the restrictions inherent in other sliding mode estimation approaches for sensor faults in the literature (which effectively require the open-loop system to be stable). For open-loop unstable systems, examples can be found, for certain comb...

A method of modeling internal turn-to-earth and turn-toturn faults in distribution transformer is discussed in this paper. The models are entirely compatible with the Alternative Transients Program(ATP). The simulation of the faults is based on known leakage factors between the various coils of the transformer. These leakage factors are evaluated by using a simple method implemented in this pap...

In this work, spectral signal analyses are employed in fault detection and isolation scheme. The procedure was applied to detect the presence of fault in proces and suppose the processing in frequency domain of the data acquisition, which represent the known commands and the actual measure outcome. The approach has been applied to electrical motor and the results show that the fault detection s...

This paper introduces a new diagnostic technique for the detection of incipient electrical rotor faults in doubly fed induction Machine (DFIM) for wind power systems. In the considered application, the rotor is supplied by a static converter for the control of active and reactive power flows from the generator to the electrical grid. A new diagnostic method based on the rotor modulating signals...

In generally, detection and diagnosis of incipient faults is desirable for product quality assurance and improved operational efficiency of induction motors running off the power supply mains. In this paper, the vibration and current of an induction motor are analyzed in order to obtain information for the detection of bearing faults. Significant vibration and current spectrum differences betwe...

Missing values are prevalent in real-world datasets and they may reduce predictive performance of a learning algorithm. Dissolved Gas Analysis (DGA), one of the most deployable methods for detecting and predicting incipient faults in power transformers is one of the casualties. Thus, this paper proposes filling-in the missing values found in a DGA dataset using the k-nearest neighbor imputation...

Large-scale and complex mechanical equipments usually operate under complicated and terrible conditions, making them inevitable for faults with various modes and severity. As they can incur substantial production loss and recovery cost. It is therefore, extremely essential to prognose an incipient fault before it leads to serious damage. However, faults of large scale and complex mechanical equ...

Abstract Adaptive wavelet filtering is a very important fault feature extraction method in the domain of condition monitoring; however, owing to time-consuming computation and difficulty choosing criteria used represent incipient faults, engineering applications are limited some extent. To detect gear faults at fast speed, new criterion proposed optimize parameters modified impulsive for constr...