To develop a cost-effective condition-based maintenance strategy, accurate prediction of remaining useful life (RUL) is the key. It is known that many failure mechanisms in engineering can be traced back to some underlying degradation processes. In this paper, we propose a two-stage prognostic framework for individual units subject to hard failure, based on joint modeling of degradation signal ...

Regression methods are employed in analyzing a space shuttle software failure data set, classified into three criticality levels. A family of models based on transforms of cumulative time and cumulative failures is considered for the purposes of generating long-term future predictions of the software failure process for any criticality level. This family includes several established software re...

Network failures are still one of the main causes of distributed systems' lack of reliability. To overcome this problem we present an improvement over a failure prediction system, based on Elastic Net Logistic Regression and the application of rare events prediction techniques, able to work with sparse, high dimensional dataseis. Specifically, we prove its stability, fine tune its hyperparamete...

Some problems of point and interval prediction in a trend-renewal process (TRP) are considered. TRP’s, whose realizations depend on a renewal distribution as well as on a trend function, comprise the non-homogeneous Poisson and renewal processes and serve as useful reliability models for repairable systems. For these processes, some possible ideas and methods for constructing the predicted next...

Cutting tool and machining parameters selection are central activity in process planning, which was traditionally performed by numerical control programmers or machine tool operators. The surface integrity has great effect on part quality and the sudden tool failure increases the machining costs greatly. The present paper details the development of a cutting database system with surface integri...

BACKGROUND AND PURPOSE To evaluate the added value of MRI with respect to peripheral quantitative computed tomography (pQCT) and dual energy X-ray absorptiometry (DXA) for predicting femoral strength. MATERIAL AND METHODS Bone mineral density (BMD) of eighteen femur specimens was assessed with pQCT, DXA, and MRI (using ultrashort echo times (UTE) and the MicroView software). Subsequently biom...

Automated fault forecasting proactivity offers a promising closed-loop approach for conventional network failure management activities. Automated intelligent failure forcasting requires the capability to prefilter the observation data so as to remove irrelevant features or factors from multi-dimensional observation data. In this paper, we propose a new hybrid methodology of combining the rough-...

A reliable system is one of most important goal of system engineers. However, system failure, software failure, outside attacks, and mis-actions make the system unstable and unreliable. Reducing the impact of system failure is possible if accurate failure predictions are provided. Resources, applications, and services can be scheduled around predicted failure and limit the impact. In Cloud Comp...