In this paper, a new idea in machinery fault diagnostic by combining minimum-distance pattern-recognition and discrete wavelet transform (DWT) is presented. The method starts by forming the feature vector, which is basically the position vector of a point in the hyperspace spanned by the set of wavelet coefficients. These coefficients are obtained by expanding the measured signal from faulty ma...

We study the feasibility and time of communication in random geometric radio networks, where nodes fail randomly with positive correlation. We consider a set of radio stations with the same communication range, distributed in a random uniform way on a unit square region. In order to capture fault dependencies, we introduce the ranged spot model in which damaging events, called spots, occur rand...

Different distance measures have been used for efficiently predicting software faults at early stages of software development. One stereotyped approach for software fault prediction due to its computational efficiency is K-means clustering, which partitions the dataset into K number of clusters using any distance measure. Distance measures by using some metrics are used to extract similar data ...

faults in computer networks may result in millions of dollars in cost. faults in a network need to be localized and repaired to keep the health of the network. fault management systems are used to keep today’s complex networks running without significant cost, either by using active techniques or passive techniques. in this paper, we propose a novel approach based on imperialist competitive alg...

Transverse basement (TB) faults are important structures in the mountain belts or sedimentary basins influencing various aspects of them. The origin of these faults is diverse, but their effect on the shape and configuration of continental margins is characteristics. The Western Alborz range that borders the South Caspian basin to southwest is a complex range with principal faults and known ear...

The turn-to-turn short is one major fault of the motor faults of BLDC motors and can appear frequently. When the fault happens, the motor can be operated without breakdown, but it is necessary to maintain the motor for continuous working. In past research, several methods have been applied to detect winding faults. The representative approaches have been focusing on current signals, which can g...

As computational systems scale to arbitrarily large sizes, and as they are expected to function reliably for arbitrary lengths of time, there are certain realities of the physical world that can not be ignored in the design and modeling of computational systems. For example, considerations for the delivery of power and removal of heat seem to limit the system to a two-dimensional surface. Addit...

Predictions of earthquakes that are based on observations of precursory seismicity cannot depend on the average properties of the seismicity, such as the Gutenberg-Richter (G-R) distribution. Instead it must depend on the fluctuations in seismicity. We summarize the observational data of the fluctuations of seismicity in space, in time, and in a coupled space-time regime over the past 60 yr in ...

the oudna field part of the offshore northeastern tunisia, straddles between two structural domains, the tunisian atlas to the north and the pelagian sea to the south. the study of this field has confirmed adequate petroleum system in fahdene formations (albian-cenomanian) and birsa (serravallian) resulting from the combination of several sedimentary, tectonic and thermal factors. to do this, w...

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...