block-flexure is the most common mode of toppling failure in natural and excavated rock slopes. in such failure, some rock blocks break due to tensile stresses and some overturn under their own weights and then all of them topple together. in this paper, first, a brief review of previous studies on toppling failures is presented. then, the physical and mechanical properties of experimental mode...

Motivated by a real failure dataset in two-dimensional context, this paper presents an extension of the Markov modulated Poisson process (MMPP) to two dimensions. The one-dimensional MMPP has been proposed for modeling dependent and non-exponential inter-failure times (in contexts as queuing, risk or reliability, among others). novel allows dependence between sequences times, while at same time...

multiple coupled circuit modeling of squirrel-cage induction motors, or winding function approach is the most detailed and complete analytical model used to analyze the performance of the faulty induction motors. this paper extends the above-mentioned model to a saturable model including variable degrees of the saturation effects using an appropriate air gap function and novel techniques for lo...

In layered and blocky rock slopes, toppling failure is a common mode of instability that may occur in mining engineering. If this type of slope failure occurs as a consequence of another type of failure, it is referred to as the secondary toppling failure. “Slide-head-toppling” is a type of secondary toppling failures, where the upper part of the slope is toppled as a consequence of a semi-circ...

Many methods on modeling failure processes of repairable systems have been developed. Based on different assumptions on the repairs, the models can be classified into three categories: models for minimal repair, models for general repair and models for perfect repair. In this paper, we will discuss a log linear model based on the general repair assumption. This model is integrated with the Kiji...

In this paper we present the results of a reanalysis of a study of factors that influence the success of software process improvement [6]. The initial report relied on simple statistical analytic methods, largely univariate and bivariate statistics. The current multivariate analysis replicates the basic results of the earlier study, while adding additional insights about the interactions among ...

Latent defect screening is important to enhance memory reliability and to reduce the manufacturing cost. This paper presents an effective reliability failure acceleration method based on defect modeling, using cell data topology for bridge defects. The experimental results show that the proposed method is very effective to screen latent defects during the wafer burn-in process due to the fail d...

conclusions it was noted that a relatively high prevalence of growth failure was observed in the study sample. for minimizing the impact of significant risk factors on growth failure, the early detection of growth failure and its risk indicators is of great importance. in addition, when the focus of the analysis is on the different nested sources of variability and the data has a hierarchical s...

Accurate modeling of masonry has been a major concern of the researchers in the past decades. Besides reinforced and unreinforced masonry structures, masonry can be found in frame structures as infill panels which are used as partitions and/or external walls. These elements role as a part of structure and introduce a large degree of nonlinearity into the system. In this study, a micro-modeling ...

PRISM is a logic-based Turing-complete symbolicstatistical modeling language with a built-in parameter learning routine. In this paper,we enhance the modeling power of PRISM by allowing general PRISM programs to fail in the generation process of observable events. Introducing failure extends the class of definable distributions but needs a generalization of the semantics of PRISM programs. We p...