In this paper, we propose a new model-based approach for the fault diagnosis of hybrid dynamic systems (HDS), in particular discretely controlled continuous system (DCCS). The goal is to construct a diagnosis module (called diagnoser) able to diagnose parametric and discrete faults. Parametric faults are characterized by abnormal changes in some system parameters whereas discrete faults are att...

Wound-Rotor (WR) resolvers are the most widely used position sensors in applications with harsh environmental conditions. However, their performance is exposed to failure due to the high risk of short circuit (SC) fault. Although the output current of the resolver is negligible, its thin copper wires increase the probability of the short circuit fault. To avoid the propagation of the turn-to-tu...

A new approach for protection of power transformer is presented using a time-frequency transform known as Wavelet transform. Different operating conditions such as inrush, Normal, load, External fault and internal fault current are sampled and processed to obtain wavelet coefficients. Different Operating conditions provide variation in wavelet coefficients. Features like energy and Standard dev...

Ganesha aims to diagnose faults transparently in MapReduce systems, by analyzing OS-level metrics alone. Ganesha’s approach is based on peer-symmetry under fault-free conditions, and can diagnose faults that manifest asymmetrically at nodes within a MapReduce system. While our training is performed on smaller Hadoop clusters and for specific workloads, our approach allows us to diagnose faults ...

Abstract This paper applies a new approach to the identification of discourses, based on Multiple Correspondence Analysis (MCA), study discourse variation over time. The MCA keywords deals with major issue use identify discourses: allocation individual multiple discourses. Yet, as this demonstrates, also allows us observe in prevalence discourses texts patterns keyword co-occurrence. Metadata c...

This paper presents a quantitative review of early detection and estimation of fault for wind turbine system. The model-based technique is proposed to provide an assessment of all possible faults for renewable energy sources. The augmented observer is applied to estimate the real physical data of the system sensor faults and states simultaneously. The fault detection and diagnosis is designed t...